Journal articles on the topic 'BIO-INSPIRED DESIGN METHODOLOGY'
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G. Trotta, Maria. "Bio-inspired Design Methodology." International Journal of Information Science 1, no. 1 (August 31, 2012): 1–11. http://dx.doi.org/10.5923/j.ijis.20110101.01.
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Velivela, Pavan Tejaswi, Nikita Letov, Yuan Liu, and Yaoyao Fiona Zhao. "APPLICATION OF DOMAIN INTEGRATED DESIGN METHODOLOGY FOR BIO-INSPIRED DESIGN- A CASE STUDY OF SUTURE PIN DESIGN." Proceedings of the Design Society 1 (July 27, 2021): 487–96. http://dx.doi.org/10.1017/pds.2021.49.
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AbstractThis paper investigates the design and development of bio-inspired suture pins that would reduce the insertion force and thereby reducing the pain in the patients. Inspired by kingfisher's beak and porcupine quills, the conceptual design of the suture pin is developed by using a unique ideation methodology that is proposed in this research. The methodology is named as Domain Integrated Design, which involves in classifying bio-inspired structures into various domains. There is little work done on such bio-inspired multifunctional aspect. In this research we have categorized the vast biological functionalities into domains namely, cellular structures, shapes, cross-sections, and surfaces. Multi-functional bio-inspired structures are designed by combining different domains. In this research, the hypothesis is verified by simulating the total deformation of tissue and the needle at the moment of puncture. The results show that the bio-inspired suture pin has a low deformation on the tissue at higher velocities at the puncture point and low deformation in its own structure when an axial force (reaction force) is applied to its tip. This makes the design stiff and thus require less force of insertion.
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Worobei, Anton, and Heike Flämig. "Towards a Methodology for Bio-inspired Programme Management Design." Procedia - Social and Behavioral Sciences 119 (March 2014): 877–86. http://dx.doi.org/10.1016/j.sbspro.2014.03.098.
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Hashemi Farzaneh, Helena, Ferdinand Angele, and Markus Zimmermann. "Bio-Inspired Design for Additive Manufacturing - Case Study: Microtiter Plate." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1 (July 2019): 289–98. http://dx.doi.org/10.1017/dsi.2019.32.
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AbstractBio-inspired design is an innovative methodology for transferring biological solutions into technical solutions, for example for the design of weight- and load-optimized components. Bio-inspired design therefore offers great potential for meeting the challenges of designing additively manufactured components, such as avoiding warpage, supporting structures and material minimisation. Nevertheless, apart from bio-inspired topology optimization tools, bio-inspired design is rarely used in industrial practice because for many companies the practical applicability up to the prototype is not obvious. The aim of this work is therefore a practical approach to the search for biological systems, analysis, abstraction and transfer of analogies. We apply bio-inspired design on the design of a microtiter plate manufactured by stereolithography, whose dimensional accuracy is impaired by warpage. Here, the venus’ flower basket, a deep-sea sponge, can serve as a model. It has a hierarchical structure of silicate needles whose elements are abstracted for bio-inspired transfer. We show and evaluate the transfer of different analogies using a prototype.
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Cianchetti, M., V. Mattoli, B. Mazzolai, C. Laschi, and P. Dario. "A new design methodology of electrostrictive actuators for bio-inspired robotics." Sensors and Actuators B: Chemical 142, no. 1 (October 2009): 288–97. http://dx.doi.org/10.1016/j.snb.2009.08.039.
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Zikmund, Pavel, Miroslav Macík, Petr Dvořák, and Zdeněk Míkovec. "Bio-inspired aircraft control." Aircraft Engineering and Aerospace Technology 90, no. 6 (September 3, 2018): 983–91. http://dx.doi.org/10.1108/aeat-01-2017-0020.
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Purpose This paper aims to present a state-of-the-art review in various fields of interest, leading to a new concept of bio-inspired control of small aircraft. The main goal is to improve controllability and safety in flying at low speeds. Design/methodology/approach The review part of the paper gives an overview of artificial and natural flow sensors and haptic feedback actuators and applications. This background leads to a discussion part where the topics are synthesized and the trend in control of small aircraft is estimated. Findings The gap in recent aircraft control is identified in the pilot–aircraft interaction. A pilot’s sensory load is discussed and several recommendations for improved control system architecture are laid out in the paper. Practical implications The paper points out an opportunity for a following research of suggested bio-inspired aircraft control. The control is based on the artificial feeling of aerodynamic forces acting on a wing by means of haptic feedback. Originality/value The paper merges two research fields – aircraft control and human–machine interaction. This combination reveals new possibilities of aircraft control.
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Mustafa, S. K., G. Yang, S. H. Yeo, and W. Lin. "Optimal Design of a Bio-Inspired Anthropocentric Shoulder Rehabilitator." Applied Bionics and Biomechanics 3, no. 3 (2006): 199–208. http://dx.doi.org/10.1155/2006/891953.
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This paper presents the design of a bio-inspired anthropocentric 7-DOF wearable robotic arm for the purpose of stroke rehabilitation. The proposed arm rehabilitator synergistically utilizes the human arm structure with non-invasive kinematically under-deterministic cable-driven mechanisms to form a completely deterministic structure. It offers the advantages of being lightweight and having high dexterity. Adopting an anthropocentric design concept also allows it to conform to the human anatomical structure. The focus of this paper is on the analysis and design of the 3-DOF-shoulder module, called the shoulder rehabilitator. The design methodology is divided into three main steps: (1) performance evaluation of the cable-driven shoulder rehabilitator, (2) performance requirements of the shoulder joint based on its physiological characteristics and (3) design optimization of the shoulder rehabilitator based on shoulder joint physiological limitations. The aim is to determine a suitable configuration for the development of a shoulder rehabilitator prototype.
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Körner, Axel, Larissa Born, Oliver Bucklin, Seiichi Suzuki, Lauren Vasey, Götz T. Gresser, Achim Menges, and Jan Knippers. "Integrative design and fabrication methodology for bio-inspired folding mechanisms for architectural applications." Computer-Aided Design 133 (April 2021): 102988. http://dx.doi.org/10.1016/j.cad.2020.102988.
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Raj Mohamed, Mohamed Arif, Ugur Guven, and Rajesh Yadav. "Flow separation control of NACA-2412 airfoil with bio-inspired nose." Aircraft Engineering and Aerospace Technology 91, no. 7 (July 8, 2019): 1058–66. http://dx.doi.org/10.1108/aeat-06-2018-0175.
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Purpose The purpose of this paper is to achieve an optimum flow separation control over the airfoil using passive flow control method by introducing bio-inspired nose near the leading edge of the NACA 2412 airfoil. Design/methodology/approach Two distinguished methods have been implemented on the leading edge of the airfoil: forward facing step, which induces multiple accelerations at low angle of attack, and cavity/backward facing step, which creates recirculating region (axial vortices) at high angle of attack. Findings The porpoise airfoil (optimum bio-inspired nose airfoil) delays the flow separation and improves the aerodynamic efficiency by increasing the lift and decreasing the parasitic drag. The maximum increase in aerodynamic efficiency is 22.4 per cent, with an average increase of 8.6 per cent at all angles of attack. Research limitations/implications The computational analysis has been done for NACA 2412 airfoil at low subsonic speed. Practical implications This design improves the aerodynamic performance and increases structural strength of the aircraft wing compared to other conventional high-lift devices and flow-control devices. Originality/value Different bio-inspired nose designs which are inspired by the cetacean species have been analysed for NACA 2412 airfoil, and optimum nose design (porpoise airfoil) has been found.
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Agarwal, Alpana, and Prem Vrat. "A bio-inspired model of organizational excellence." Journal of Advances in Management Research 13, no. 2 (August 1, 2016): 130–53. http://dx.doi.org/10.1108/jamr-12-2015-0089.
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Purpose – The purpose of this paper is to validate the enablers of bio-inspired model of organizational excellence proposed by Agarwal and Vrat (2015a). It is also aimed to test its usefulness as an instrument in evaluating the degree of organizational excellence achieved. Design/methodology/approach – Survey methodology has been used to investigate the hypotheses. Data have been collected through a self-structured questionnaire with closed-ended questions. Structural equation modeling and analytic hierarchic process have been used to test and analyze the data. Findings – The results of hypothesis testing indicated that out of 19 paths only ten were significant. However, in the revised model only six paths out of those ten significant paths were retained and three new suggested paths were incorporated to make the final model. Besides, calculation of relative weights of each enabler shows that being self-driven occupies the top-most rankings, supply chain optimization occupies the second rank and promptness and reliability and maintainability occupy the bottom ranking in driving performance excellence, being resulting outcomes. Research limitations/implications – The major limitations of this research are: verification of the proposed model is done on only two test companies, and results of which are compared with one excellence award model only. Besides, the score resulted for test companies are based on self-assessment by them and thus require further validation. Practical implications – The validated model can be applied for assessing degree of organizational excellence achieved by any company. The results of the assessment would serve as key focus areas for improvement. Originality/value – The research is first to benchmark the human body for assessing the degree of organizational excellence achieved. The uniqueness of this model is that the various parameters of excellence assessment which are derived from human body, perceived as a benchmark in being the most well managed system.
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Leylavi Shoushtari, Ali, Stefano Mazzoleni, and Paolo Dario. "Bio-inspired kinematical control of redundant robotic manipulators." Assembly Automation 36, no. 2 (April 4, 2016): 200–215. http://dx.doi.org/10.1108/aa-11-2015-116.
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Purpose This paper aims to propose an innovative kinematic control algorithm for redundant robotic manipulators. The algorithm takes advantage of a bio-inspired approach. Design/methodology/approach A simplified two-degree-of-freedom model is presented to handle kinematic redundancy in the x-y plane; an extension to three-dimensional tracking tasks is presented as well. A set of sample trajectories was used to evaluate the performances of the proposed algorithm. Findings The results from the simulations confirm the continuity and accuracy of generated joint profiles for given end-effector trajectories as well as algorithm robustness, singularity and self-collision avoidance. Originality/value This paper shows how to control a redundant robotic arm by applying human upper arm-inspired concept of inter-joint dependency.
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Peng, Cheng, Yue H. Yin, Hai B. Hong, Jian J. Zhang, and Xing Chen. "Bio-inspired Design Methodology of Sensor-actuator-structure Integrated System for Artificial Muscle Using SMA." Procedia CIRP 65 (2017): 299–303. http://dx.doi.org/10.1016/j.procir.2017.04.016.
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Raj Mohamed, Mohamed Arif, Rajesh Yadav, and Ugur Guven. "Flow separation control using a bio-inspired nose for NACA 4 and 6 series airfoils." Aircraft Engineering and Aerospace Technology 93, no. 2 (January 25, 2021): 251–66. http://dx.doi.org/10.1108/aeat-08-2019-0170.
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Purpose This paper aims to achieve an optimum flow separation control over the airfoil using a passive flow control method by introducing a bio-inspired nose near the leading edge of the National Advisory Committee for Aeronautics (NACA) 4 and 6 series airfoil. In addition, to find the optimised leading edge nose design for NACA 4 and 6 series airfoils for flow separation control. Design/methodology/approach Different bio-inspired noses that are inspired by the cetacean species have been analysed for different NACA 4 and 6 series airfoils. Bio-inspired nose with different nose length, nose depth and nose circle diameter have been analysed on airfoils with different thicknesses, camber and camber locations to understand the aerodynamic flow properties such as vortex formation, flow separation, aerodynamic efficiency and moment. Findings The porpoise nose design that has a leading edge with depth = 2.25% of chord, length = 0.75% of chord and nose diameter = 2% of chord, delays the flow separation and improves the aerodynamic efficiency. Average increments of 5.5% to 6° in the lift values and decrements in parasitic drag (without affecting the pitching moment) for all the NACA 4 and 6 series airfoils were observed irrespective of airfoil geometry such as different thicknesses, camber and camber location. Research limitations/implications The two-dimensional computational analysis is done for different NACA 4 and 6 series airfoils at low subsonic speed. Practical implications This design improves aerodynamic performance and increases the structural strength of the aircraft wing compared to other conventional high lift devices and flow control devices. This universal leading edge flow control device can be adapted to aircraft wings incorporated with any NACA 4 and 6 series airfoil. Social implications The results would be of significant interest in the fields of aircraft design and wind turbine design, lowering the cost of energy and air travel for social benefits. Originality/value Different bio-inspired nose designs that are inspired by the cetacean species have been analysed for NACA 4 and 6 series airfoils and universal optimum nose design (porpoise airfoil) is found for NACA 4 and 6 series airfoils.
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Wang, Chunlei, Ting Zhang, Xiaohui Wei, Yongjun Long, and Shigang Wang. "Bio-inspired control strategy study for the quadruped robot with a segmented spine." Industrial Robot: An International Journal 44, no. 1 (January 16, 2017): 85–93. http://dx.doi.org/10.1108/ir-05-2016-0149.
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Purpose This study aims to establish a bio-inspired controller for realizing the bounding gait of a quadruped robot system presented in this paper. Design/methodology/approach The bio-inspired controller is divided into three levels to mimic the biological patterns of animals. First, the high-level sub-controller is equivalent to the cerebellum, which could plan and control the motion of animals. Second, the effect of the middle-level sub-controller corresponds to the central nervous system. The central pattern generators in the spine generate the stable and cyclic signals as the fundamental rhythm for periodic motion of the leg and spine joints. Third, the low-level sub-controller is equal to the end effector, which adopts the simple proportional-derivative (PD) control to realize the specific motion trajectory of the legs and spine. Findings Combined with the stability criterion presented previously and the delayed feedback control method, the bounding gait of the cheetah virtual prototype could be actuated and stabilized by the bio-inspired controller. Moreover, the bio-inspired controller is applied to realize the bounding gait of an SQBot, which is a quadruped robot with a spine joint. Meanwhile, the validity and practicability of the bio-inspired controller for the control of quadruped robot have been verified against different forward velocities. Originality/value The bio-inspired controller and bionic quadruped robot system are instructive for the designing and actuating of the real quadruped robot.
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Seyyedi, Behnam. "Bio-inspired iron metal–carbon black based nano-electrocatalyst for the oxygen reduction reaction." Pigment & Resin Technology 46, no. 4 (July 3, 2017): 267–75. http://dx.doi.org/10.1108/prt-07-2016-0081.
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Purpose The purpose of this paper is to introduce bio-inspired FeN4-S-C black nano-electrocatalyst for the oxygen reduction reaction (ORR) in an alkaline medium. The FeN4-S-C derived without pyrolysis of precursors in high temperature is recognized as a new electrocatalyst for the ORR in an alkaline electrolyte. For the proper design of bio-inspired nano-electrocatalyst for the ORR performance, chlorinated iron (II) phthalocyanine nanoparticles were used as templates for achieving the active sites in aqueous KOH by rotating disk electrode methods. The most active FeN4-S-C catalyst exhibited a remarkable ORR activity in the alkaline medium. The objectives of this paper are to investigate the possibility of nanoscale particles size (Ëœ5nm) of electrocatalyst, to achieve four-electron transfer mechanism and to exhibit much superior catalytic stability in measurements. This paper will shed light on bio-inspired FeN4-S-C materials for the ORR catalysis in alkaline fuel cells. Design/methodology/approach The paper presents a new bio-inspired nano-electrocatalyst for the ORR, which has activity nearby platinum/carbon electrocatalyst. Chlorinated iron phthalocyanine nanoparticles have been used as FeN4 template, which is the key point for the ORR. Bio-inspired nano-electrocatalyst has been fabricated using chlorinated iron phthalocyanine, sodium sulphide and carbon black. Findings The particles’ size was 5 nm and electron transfer number was 4. Research limitations/implications The catalyst that is used in this method should be weighed carefully. In addition, the solvent should be a saturated solution of NaCl in water. Practical implications The method provides a simple and practical solution to improving the synthesis of iron-based catalyst for ORR. Originality/value The method for the synthesis of bio-inspired electrocatalyst was novel and can find numerous applications in industries, especially as ORR non-precious metal catalyst.
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Zhao, Moju, and Takuzumi Nishio. "Generalized Design, Modeling and Control Methodology for a Snake-like Aerial Robot." Sensors 23, no. 4 (February 7, 2023): 1882. http://dx.doi.org/10.3390/s23041882.
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Snake-like robots have been developing in recent decades, and various bio-inspired ideas are deployed in both the mechanical and locomotion aspects. In recent years, several studies have proposed state-of-the-art snake-like aerial robots, which are beyond bio-inspiration. The achievement of snake-like aerial robots benefits both aerial maneuvering and manipulation, thereby having importance in various fields, such as industry surveillance and disaster rescue. In this work, we introduce our development of the modular aerial robot which can be considered a snake-like robot with high maneuverability in flight. To achieve such flight, we first proposed a unique thrust vectoring apparatus equipped with dual rotors to enable three-dimensional thrust force. Then, a generalized modeling method based on dynamics approximation is proposed to allocate the wrench in the center-of-gravity (CoG) frame to thrust forces and vectoring angles. We further developed a generalized control framework that can handle both under-actuated and fully actuated models. Finally, we show the experimental results with two different platforms to evaluate the flight stability of the proposed snake-like aerial robot. We believe that the proposed generalized methods can provide a solid foundation for the snake-like aerial robot and its applications regarding maneuvering and manipulation in midair.
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Price, Mark, Wei Zhang, Imelda Friel, Trevor Robinson, Roisin McConnell, Declan Nolan, Peter Kilpatrick, Sakil Barbhuiya, and Stephen Kyle. "Generative design for additive manufacturing using a biological development analogy." Journal of Computational Design and Engineering 9, no. 2 (March 12, 2022): 463–79. http://dx.doi.org/10.1093/jcde/qwac016.
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Abstract The transformation in manufacturing capability being driven by new processes, such as additive manufacturing, offers huge potential for product innovation and opportunity to create bespoke designs tailored to individual specifications or needs. However, current design systems and tools are not yet capable of fully capitalizing on these new technologies and new approaches are needed. Many current methodologies are top-down and sequential, offering limited flexibility and an overly constrained design space. Post-processing is needed to ensure that a design can be manufactured. This work presents a novel bottom-up methodology to generate designs that can be tightly integrated with the additive manufacturing environment and that can respond flexibly to changes in that environment. Focusing on overhang as an exemplar manufacturing constraint, the method engenders changes in the design either by locally adjusting the geometry to stay within limits or by adding an appropriate support structure. The method is bio-inspired, based on strategies observed in natural systems, particularly in biological growth and development. The design geometry is grown in a computer-aided design-based, bio-inspired generative design system called ‘Biohaviour’. This process is similar to plant growth, and the design’s final configuration, shape, and size are informed by both the manufacturing capability and internal design stresses. The approach is demonstrated for overhang limit and build orientation and is extensible to any general situation.
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Perera, Ayomi S., and Marc-Olivier Coppens. "Re-designing materials for biomedical applications: from biomimicry to nature-inspired chemical engineering." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 377, no. 2138 (December 24, 2018): 20180268. http://dx.doi.org/10.1098/rsta.2018.0268.
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Gathering inspiration from nature for the design of new materials, products and processes is a topic gaining rapid interest among scientists and engineers. In this review, we introduce the concept of nature-inspired chemical engineering (NICE). We critically examine how this approach offers advantages over straightforward biomimicry and distinguishes itself from bio-integrated design, as a systematic methodology to present innovative solutions to challenging problems. The scope of application of the nature-inspired approach is demonstrated via examples from the field of biomedicine, where much of the inspiration is still more narrowly focused on imitation or bio-integration. We conclude with an outlook on prospective future applications, offered by the more systematic and mechanistically based NICE approach, complemented by rapid progress in manufacturing, computation and robotics. This article is part of the theme issue ‘Bioinspired materials and surfaces for green science and technology’.
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Lu, Haibao, Aying Zhang, Yongtao Yao, and Long Lin. "Phenomenological model and working mechanism of bio-inspired polymeric composites driven by water gradient." Pigment & Resin Technology 45, no. 1 (January 4, 2016): 62–70. http://dx.doi.org/10.1108/prt-04-2015-0040.
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Purpose – This paper aims to present a phenomenological model to investigate the underlying mechanism and predict the bio-inspired performance under different thermo-temporal conditions. Design/methodology/approach – Flory-Rehner free-energy functions are applied to quantitatively identify the driving forces in the viscously bio-inspired response of a dynamic polymer network. Furthermore, the permeation transition equation is adopted to couple water gradient and water sorption/desorption into the free-energy function. Findings – The results show that the influence of potential energy on deformation can be related to a stretching ratio that uniquely determines water sorption/desorption, locomotion frequency and contractile stress. Finally, by means of combining the free-energy function and Arrhenius equation, a phenomenological thermo-temporal model is developed and verified by the experimental results. Research limitations/implications – This study focuses on exploring the theoretical mechanism and significantly enhances understanding of relevant experimental features reported previously. Originality/value – The outcome of this study will provide a powerful phenomenological and quantitative tool for study on shape memory effect in bio-inspired polymers.
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Agarwal, Komal, Yinning Zhou, Hashina Parveen Anwar Ali, Ihor Radchenko, Avinash Baji, and Arief S. Budiman. "Additive Manufacturing Enabled by Electrospinning for Tougher Bio-Inspired Materials." Advances in Materials Science and Engineering 2018 (November 1, 2018): 1–9. http://dx.doi.org/10.1155/2018/8460751.
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Nature has taught us fascinating strategies to design materials such that they exhibit superior and novel properties. Shells of mantis club have protein fibres arranged in a 3D helicoidal architecture that give them remarkable strength and toughness, enabling them to absorb high-impact energy. This complex architecture is now possible to replicate with the recent advances in additive manufacturing. In this paper, we used melt electrospinning to fabricate 3D polycaprolactone (PCL) fibrous design to mimic the natural helicoidal structures found in the shells of the mantis shrimp’s dactyl club. To improve the tensile deformation behavior of the structures, the surface of each layer of the samples were treated with carboxyl and amino groups. The toughness of the surface-treated helicoidal sample was found to be two times higher than the surface-treated unidirectional sample and five times higher than the helicoidal sample without surface treatment. Free amino groups (NH2) were introduced on the surface of the fibres and membrane via surface treatment to increase the interaction and adhesion among the different layers of membranes. We believe that this represents a preliminary feasibility in our attempt to mimic the 3D helicoidal architectures at small scales, and we still have room to improve further using even smaller fibre sizes of the modeled architectures. These lightweight synthetic analogue materials enabled by electrospinning as an additive manufacturing methodology would potentially display superior structural properties and functionalities such as high strength and extreme toughness.
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Kotynia, Łukasz, Piotr Amrozik, and Andrzej Napieralski. "Methodology for Implementing Scalable Run-Time Reconfigurable Devices." International Journal of Electronics and Telecommunications 57, no. 2 (June 1, 2011): 177–83. http://dx.doi.org/10.2478/v10177-011-0025-8.
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Methodology for Implementing Scalable Run-Time Reconfigurable Devices The aim of this paper is to present the implementation methodology for an ASIC constituting the fine-grained array of dynamically reconfigurable processing elements. This methodology was developed during the work on a device which can operate as a typical Field Programmable Gate Array (FPGA) with some bio-inspired features or as a multi-core Single Instruction Multiple Data (SIMD) processor. Such high diversity of possible operating modes makes the design implementation extremely demanding. As a consequence, the comprehensive study and analysis of the different possible implementation techniques in this case allowed us to formulate a consistent and complete methodology that can be applied to other systems of similar structure.
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Khuntia, Sravan Kumar, Himanshu Bana, and Dr Shantanu Bhowmik. "Bio Inspired Self-Curing Composite: A Leap into Augmented Enactment." Scientific Review, no. 66 (June 25, 2020): 41–47. http://dx.doi.org/10.32861/sr.66.41.47.
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Relentless progress has been made on composite materials, their manufacturing processes and their structural design in past few decades. Nevertheless, the approval of composite materials in all engineering disciplines is constrained due to its susceptibility to various kinds of defects during manufacturing stage viz porosity, foreign body inclusion, incorrect fiber volume, bonding defect, fiber misalignment, ply misalignment, incorrect curing cycle, wavy fiber, ply cracking, delamination, fiber microstructural defects etc. Hence there was a requirement of techniques to somehow overcome these defects during the service life of composites being used in various structures and equipment. This promising field of research has made great progress over the past several years, but many procedural encounters are still to be overcome, and there exists a great need for focused research to address several areas of concern. On the other hand, nature has materials that have curing potential and repair strategies ensuring their survival. Sustained development in the field will produce new curing chemistries that possess greater stability, faster kinetics. Tailor-made placement of curing agents is dynamic research subject at the cutting edge of self-curing. New bio-imitative curing agents are closely connected to vascular networks. The purpose of this technical paper is to sort the methodology in line with ongoing research efforts in composites. A perspective on current and future self-curing approaches using this biomimetic technique is offered.
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Benítez, José J., Sonja Osbild, Susana Guzman-Puyol, Antonio Heredia, and José A. Heredia-Guerrero. "Bio-Based Coatings for Food Metal Packaging Inspired in Biopolyester Plant Cutin." Polymers 12, no. 4 (April 18, 2020): 942. http://dx.doi.org/10.3390/polym12040942.
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Metals used for food canning such as aluminum (Al), chromium-coated tin-free steel (TFS) and electrochemically tin-plated steel (ETP) were coated with a 2–3-µm-thick layer of polyaleuritate, the polyester resulting from the self-esterification of naturally-occurring 9,10,16-trihydroxyhexadecanoic (aleuritic) acid. The kinetic of the esterification was studied by FTIR spectroscopy; additionally, the catalytic activity of the surface layer of chromium oxide on TFS and, in particular, of tin oxide on ETP, was established. The texture, gloss and wettability of coatings were characterized by AFM, UV-Vis total reflectance and static water contact angle (WCA) measurements. The resistance of the coatings to solvents was also determined and related to the fraction of unreacted polyhydroxyacid. The occurrence of an oxidative diol cleavage reaction upon preparation in air induced a structural modification of the polyaleuritate layer and conferred upon it thermal stability and resistance to solvents. The promoting effect of the tin oxide layer in such an oxidative cleavage process fosters the potential of this methodology for the design of effective long-chain polyhydroxyester coatings on ETP.
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Vasanthanathan, Arunachalam, Uthirakumar Siddharth, Manivannan Vignesh, and Radhakrishnan Pravin. "Biomimicry: An Overview of Structures, Designs and Materials Inspired from Nature." Current Materials Science 13, no. 1 (October 1, 2020): 3–15. http://dx.doi.org/10.2174/2666145413666200212103324.
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Background: Nature has always played a vital role in the evolution of life forms. The design of products in accordance with nature’s design, popularly known as biomimicry, had played a vital role in pushing the technology and product effectiveness to the next level. Humans have long sought to mimic not just the design, but also the methodology adopted by certain animals. For example, the walking technique of vertebrates has been effectively mimicked for a quadruped robot to make a system more efficient by consuming less power. Thus indirectly, nature acts as a driving factor in pushing technological growth. Methods: The principle objective of this paper is to provide an overview of popular bio mimicked products inspired by nature. This paper emphasizes a wide variety of products developed in the field of materials inspired by nature. Results: Wall-climbing robots, Sonar, X-ray imaging, Sandwich and Honeycomb structures are some of the popular products and designs inspired by nature. They have resulted in better designs, better products with improved efficiency and thus have proven to be better alternatives. Some products and designs such as Samara drone, Riblet surfaces, DSSCs, Biomimetic Drills and Water turbines have plenty of scopes to replace conventional products and designs. Conclusion: While plenty of products, structures and designs have successfully replaced older alternatives, there is still a large scope for biomimicry where it could potentially replace conventional products and designs to offer better efficiency.
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Perez-Sanchez, Vicente, Alejandro E. Gomez-Tamm, Emanuela Savastano, Begoña C. Arrue, and Anibal Ollero. "Bio-Inspired Morphing Tail for Flapping-Wings Aerial Robots Using Macro Fiber Composites." Applied Sciences 11, no. 7 (March 25, 2021): 2930. http://dx.doi.org/10.3390/app11072930.
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The aim of this work is to present the development of a bio-inspired approach for a robotic tail using Macro Fiber Composites (MFC) as actuators. The use of this technology will allow achieving closer to the nature approach of the tail, aiming to mimic a bird tail behavior. The tail will change its shape, performing morphing, providing a new type of actuation methodology in flapping control systems. The work is intended as a first step for demonstrating the potential of these technologies for being applied in other parts of the aerials robotics systems. When compared with traditional actuation approaches, one key advantage that is given by the use of MFC is their ability to adapt to different flight conditions via geometric tailoring, imitating what birds do in nature. Theoretical explanations, design, and experimental validation of the developed concept using different methodologies will be presented in this paper.
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De Vivo Nicoloso, Luca Gabriele, Joshua Pelz, Herb Barrack, and Falko Kuester. "Towards 3D printing of a monocoque transtibial prosthesis using a bio-inspired design workflow." Rapid Prototyping Journal 27, no. 11 (August 28, 2021): 67–80. http://dx.doi.org/10.1108/rpj-06-2021-0136.
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Purpose There are over 40 million amputees globally with more than 185,000 Americans losing their limbs every year. For most of the world, prosthetic devices remain too expensive and uncomfortable. This paper aims to outline advancements made by a multidisciplinary research group, interested in advancing the restoration of human motion through accessible lower limb prostheses. Design/methodology/approach Customization, comfort and functionality are the most important metrics reported by prosthetists and patients. The work of this paper presents the design and manufacturing of a custom made, cost-effective and functional three-dimensional (3D) printed transtibial prosthesis monocoque design. The design of the prosthesis integrates 3D imaging, modelling and optimization techniques coupled with additive manufacturing. Findings The successful fabrication of a functional monocoque prosthesis through 3D printing indicates the workflow may be a solution to the worldwide accessibility crisis. The digital workflow developed in this work offers great potential for providing prosthetic devices to rural communities, which lack access to skilled prosthetic physicians. The authors found that using the workflow together with 3D printing, this study can create custom monocoque prostheses (Figure 16). These prostheses are comfortable, functional and properly aligned. In comparison with traditional prosthetic devices, the authors slowered the average cost, weight and time of production by 95%, 55% and 95%, respectively. Social implications This novel digital design and manufacturing workflow has the potential to democratize and globally proliferate access to prosthetic devices, which restore the patient’s mobility, quality of life and health. LIMBER’s toolbox can reach places where proper prosthetic and orthotic care is not available. The digital workflow reduces the cost of making custom devices by an order of magnitude, enabling broader reach, faster access and improved comfort. This is particularly important for children who grow quickly and need new devices every few months or years, timely access is both physically and psychologically important. Originality/value In this manuscript, the authors show the application of digital design techniques for fabricating prosthetic devices. The proposed workflow implements several advantageous changes and, most importantly, digitally blends the three components of a transtibial prosthesis into a single, 3D printable monocoque device. The development of a novel unibody transtibial device that is properly aligned and adjusted digitally, greatly reduces the number of visits an amputee must make to a clinic to have a certified prosthetist adjust and modify their prosthesis. The authors believe this novel workflow has the potential to ease the worldwide accessibility crisis for prostheses.
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Yan, Fei, Ke Wang, Jizhong Xiao, and Ruifeng Li. "A bio-inspired scan matching algorithm for mobile robots in outdoor environments." Assembly Automation 36, no. 2 (April 4, 2016): 159–71. http://dx.doi.org/10.1108/aa-11-2015-103.
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Purpose The most prominent example of scan matching algorithm is the Iterative Closest Point (ICP) algorithm. But the ICP algorithm and its variants excessively depend on the initial pose estimate between two scans. The purpose of this paper is to propose a scan matching algorithm, which is adaptable to big initial pose errors. Design/methodology/approach The environments are represented by flat units and upright units. The upright units are clustered to represent objects that the robot cannot cross over. The object cluster is further discretized to generate layered model consisting of cross-section ellipses. The layered model provides simplified features that facilitate an object recognition algorithm to discriminate among common objects in outdoor environments. A layered model graph is constructed with the recognized objects as nodes. Based on the similarity of sub-graphs in each scans, the layered model graph-based matching algorithm generates initial pose estimates and uses ICP to refine the scan matching results. Findings Experimental results indicate that the proposed algorithm can deal with bad initial pose estimates and increase the processing speed. Its computation time is short enough for real-time implementation in robotic applications in outdoor environments. Originality/value This paper proposes a bio-inspired scan matching algorithm for mobile robots based on layered model graph in outdoor environments.
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Folgheraiter, Michele, Jose de Gea, Bertold Bongardt, Jan Albiez, and Frank Kirchner. "Bio-Inspired Control of an Arm Exoskeleton Joint with Active-Compliant Actuation System." Applied Bionics and Biomechanics 6, no. 2 (2009): 193–204. http://dx.doi.org/10.1155/2009/542562.
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This paper presents the methodology followed on the design of a multi-contact point haptic interface that uses a bio-inspired control approach and a novel actuation system. The combination of these components aims at creating a system that increases the operability of the target, and, at the same time, enables an intuitive and safe tele-operation of any complex robotic system of any given morphology. The novelty lies on the combination of a thoughtful kinematic structure driven by an active-compliant actuation system and a bio-inspired paradigm for its regulation. Due to the proposed actuation approach, the final system will achieve the condition of wearable system. On that final solution, each joint will be able to change its stiffness depending on the task to be executed, and on the anatomical features of each individual. Moreover, the system provides a variety of safety mechanisms at different levels to prevent causing any harm to the operator. In future, the system should allow the complete virtual immersion of the user within the working scenario.
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Feliu-Talegon, Daniel, José Ángel Acosta, Alejandro Suarez, and Anibal Ollero. "A Bio-Inspired Manipulator with Claw Prototype for Winged Aerial Robots: Benchmark for Design and Control." Applied Sciences 10, no. 18 (September 18, 2020): 6516. http://dx.doi.org/10.3390/app10186516.
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Nature exhibits many examples of birds, insects and flying mammals with flapping wings and limbs offering some functionalities. Although in robotics, there are some examples of flying robots with wings, it has not been yet a goal to add to them some manipulation-like capabilities, similar to ones that are exhibited on birds. The flying robot (ornithopter) that we propose improves the existent aerial manipulators based on multirotor platforms in terms of longer flight duration of missions and safety in proximity to humans. Moreover, the manipulation capabilities allows them to perch in inaccessible places and perform some tasks with the body perched. This work presents a first prototype of lightweight manipulator to be mounted to an ornithopter and a new control methodology to balance them while they are perched and following a desired path with the end effector imitating their beaks. This allows for several possible applications, such as contact inspection following a path with an ultrasonic sensor mounted in the end effector. The manipulator prototype imitates birds with two-link legs and a body link with an actuated limb, where the links are all active except for the first passive one with a grabbing mechanism in its base, imitating a claw. Unlike standard manipulators, the lightweight requirement limits the frame size and makes it necessary to use micro motors. Successful experimental results with this prototype are reported.
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Anh, Ho Pham Huy, and Cao Van Kien. "Optimal energy management of microgrid using advanced multi-objective particle swarm optimization." Engineering Computations 37, no. 6 (February 7, 2020): 2085–110. http://dx.doi.org/10.1108/ec-05-2019-0194.
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Purpose The purpose of this paper is to propose an optimal energy management (OEM) method using intelligent optimization techniques applied to implement an optimally hybrid heat and power isolated microgrid. The microgrid investigated combines renewable and conventional power generation. Design/methodology/approach Five bio-inspired optimization methods include an advanced proposed multi-objective particle swarm optimization (MOPSO) approach which is comparatively applied for OEM of the implemented microgrid with other bio-inspired optimization approaches via their comparative simulation results. Findings Optimal multi-objective solutions through Pareto front demonstrate that the advanced proposed MOPSO method performs quite better in comparison with other meta-heuristic optimization methods. Moreover, the proposed MOPSO is successfully applied to perform 24-h OEM microgrid. The simulation results also display the merits of the real time optimization along with the arbitrary of users’ selection as to satisfy their power requirement. Originality/value This paper focuses on the OEM of a designed microgrid using a newly proposed modified MOPSO algorithm. Optimal multi-objective solutions through Pareto front demonstrate that the advanced proposed MOPSO method performs quite better in comparison with other meta-heuristic optimization approaches.
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Chen, Liang, Leitao Cui, Rong Huang, and Zhengyun Ren. "Bio-inspired neural network with application to license plate recognition: hysteretic ELM approach." Assembly Automation 36, no. 2 (April 4, 2016): 172–78. http://dx.doi.org/10.1108/aa-11-2015-105.
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Purpose This paper aims to present a bio-inspired neural network for improvement of information processing capability of the existing artificial neural networks. Design/methodology/approach In the network, the authors introduce a property often found in biological neural system – hysteresis – as the neuron activation function and a bionic algorithm – extreme learning machine (ELM) – as the learning scheme. The authors give the gradient descent procedure to optimize parameters of the hysteretic function and develop an algorithm to online select ELM parameters, including number of the hidden-layer nodes and hidden-layer parameters. The algorithm combines the idea of the cross validation and random assignment in original ELM. Finally, the authors demonstrate the advantages of the hysteretic ELM neural network by applying it to automatic license plate recognition. Findings Experiments on automatic license plate recognition show that the bio-inspired learning system has better classification accuracy and generalization capability with consideration to efficiency. Originality/value Comparing with the conventional sigmoid function, hysteresis as the activation function enables has two advantages: the neuron’s output not only depends on its input but also on derivative information, which provides the neuron with memory; the hysteretic function can switch between the two segments, thus avoiding the neuron falling into local minima and having a quicker learning rate. The improved ELM algorithm in some extent makes up for declining performance because of original ELM’s complete randomness with the cost of a litter slower than before.
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Dikou, C., and N. Kourniatis. "Sustainability through passive energy biomimetics systems in Architecture. Comparative analysis of case studies." IOP Conference Series: Earth and Environmental Science 1123, no. 1 (December 1, 2022): 012027. http://dx.doi.org/10.1088/1755-1315/1123/1/012027.
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Abstract Nowadays, people face two serious problems: the energy problem and the depletion of natural resources. Current solutions for managing environmental change have caused a great deal of waste of energy on heating, cooling, ventilation, and lighting of our buildings. In the current paper, we propose an innovative multidisciplinary design system to combine biology, engineering, and basic principles of architecture for the construction of the building envelope that regulates environmental aspects. The study is based on adaptation strategies from biological systems and the contribution of “smart” materials and technologies toward the energy optimization of modern and future constructions, through the imitation of biological functions. Four bio-inspiration case studies are presented along with their architectural application, finishing with a comparative analysis to assess how well this methodology can be used in both present and future architecture and design. This research’s objective is to show how we can create a systematic transfer of knowledge between biology and technology. It aims to learn from biological principles and to apply this understanding to the development of bio-inspired structures, to understand the importance and impact that the use of bio-inspiration in architecture can have on the energy discussion.
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Mozaffari, Ahmad, Alireza Fathi, and Saeed Behzadipour. "An evolvable self-organizing neuro-fuzzy multilayered classifier with group method data handling and grammar-based bio-inspired supervisors for fault diagnosis of hydraulic systems." International Journal of Intelligent Computing and Cybernetics 7, no. 1 (March 4, 2014): 38–78. http://dx.doi.org/10.1108/ijicc-06-2013-0034.
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Purpose – The purpose of this paper is to apply a hybrid neuro-fuzzy paradigm called self-organizing neuro-fuzzy multilayered classifier (SONeFMUC) to classify the operating faults of a hydraulic system. The main motivation behind the use of SONeFMUC is to attest the capabilities of neuro-fuzzy classifier for handling the difficulties associated with fault diagnosis of hydraulic circuits. Design/methodology/approach – In the proposed methodology, first, the neuro-fuzzy nodes at each layer of the SONeFMUC are trained separately using two well-known bio-inspired algorithms, i.e. a semi deterministic method with random walks called co-variance matrix adaptation evolutionary strategy (CMA-ES) and a swarm-based explorer with adaptive fuzzified parameters (SBEAFP). Thereafter, a revised version of the group method data handling (GMDH) policy that uses the Darwinian concepts such as truncation selection and elitism is engaged to connect the nodes of different layers in an effective manner. Findings – Based on comparative numerical experiments, the authors conclude that integration of neuro-fuzzy method and bio-inspired supervisor results in a really powerful classification tool beneficial for uncertain environments. It is proved that the method outperforms some well-known classifiers such as support vector machine (SVM) and particle swarm optimization-based SVM (PSO-SVM). Besides, it is indicated that an efficient bio-inspired method can effectively adjust the constructive parameters of the multi-layered neuro-fuzzy classifier. For the case, it is observed that designing a fuzzy controller for PSO predisposes it to effectively balance the exploration/exploitation capabilities, and consequently optimize the structure of SONeFMUC. Originality/value – The originality of the paper can be considered from both numerical and practical points of view. The signals obtained through the data acquisition possess six different features in order for the hydraulic system to undergo four types of faults, i.e. cylinder fault, pump fault, valve leakage fault and rupture of the piping system. Besides, to elaborate on the authenticity and efficacy of the proposed method, its performance is compared with well-known rival techniques.
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Xian, Ning. "Comparative study of swarm intelligence-based saliency computation." International Journal of Intelligent Computing and Cybernetics 10, no. 3 (August 14, 2017): 348–61. http://dx.doi.org/10.1108/ijicc-03-2017-0024.
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Purpose The purpose of this paper is to propose a new algorithm chaotic pigeon-inspired optimization (CPIO), which can effectively improve the computing efficiency of the basic Itti’s model for saliency-based detection. The CPIO algorithm and relevant applications are aimed at air surveillance for target detection. Design/methodology/approach To compare the improvements of the performance on Itti’s model, three bio-inspired algorithms including particle swarm optimization (PSO), brain storm optimization (BSO) and CPIO are applied to optimize the weight coefficients of each feature map in the saliency computation. Findings According to the experimental results in optimized Itti’s model, CPIO outperforms PSO in terms of computing efficiency and is superior to BSO in terms of searching ability. Therefore, CPIO provides the best overall properties among the three algorithms. Practical implications The algorithm proposed in this paper can be extensively applied for fast, accurate and multi-target detections in aerial images. Originality/value CPIO algorithm is originally proposed, which is very promising in solving complicated optimization problems.
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Yi, Guo, Jianxu Mao, Yaonan Wang, Hui Zhang, and Zhiqiang Miao. "Neurodynamics-based leader-follower formation tracking of multiple nonholonomic vehicles." Assembly Automation 38, no. 5 (November 5, 2018): 548–57. http://dx.doi.org/10.1108/aa-12-2017-184.
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Purpose The purpose of this paper is to consider the leader-following formation control problem for nonholonomic vehicles based on a novel biologically inspired neurodynamics approach. Design/methodology/approach The interactions among the networked multi-vehicle system is modeled by an undirected graph. First, a distributed estimation law is proposed for each follower vehicle to estimate the state including the position, orientation and linear velocity of the leader. Then, a distributed formation tracking control law is designed based on the estimated state of the leader, where a bio-inspired neural dynamic is introduced to solve the impractical velocity jumps problem. Explicit stability and convergence analyses are presented using Lyapunov tools. Findings The effectiveness and efficiency of the proposed control law are demonstrated by numerical simulations and physical vehicle experiments. Consequently, the proposed protocol can successfully achieve the desired formation under connected topologies while tracking the trajectory generated by the leader. Originality/value This paper proposes a neurodynamics-based leader–follower formation tracking algorithm for multiple nonholonomic vehicles.
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Zhang, Hui, Wanan Sheng, Zhimin Zha, and George Aggidis. "A Preliminary Study on Identifying Biomimetic Entities for Generating Novel Wave Energy Converters." Energies 15, no. 7 (March 28, 2022): 2485. http://dx.doi.org/10.3390/en15072485.
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Biomimetics and creatures could contribute to novel design inspiration for wave energy converters, as we have seen numerous examples in applications of other branches of engineering. However, the issue of how to obtain valuable biological entities, or bionic design cases, that could produce inspiration for novel designs, may be challenging for the designers of wave energy converters (WECs). This study carries out preliminary research on the acquisition of biological entities for designers, to obtain innovative bio-inspired ideas for designing novel WECs. In the proposed method, the first step is to draw out engineering terminologies based on the function, structure, and energy extraction principles of existing WECs. Then, by applying WordNet, candidate biological terminologies can be obtained. Next, using AskNature, along with manual selection and filtering, biological terminologies can be acquired. The last step is to use the biological terminologies to establish the reference biological entities, and to use the information and knowledge of these entities in the design of an innovative WEC. Using the proposed methodology, a novel WEC was conceived and verified.
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Khan, Babar, Fang Han, Zhijie Wang, and Rana J. Masood. "Bio-inspired approach to invariant recognition and classification of fabric weave patterns and yarn color." Assembly Automation 36, no. 2 (April 4, 2016): 152–58. http://dx.doi.org/10.1108/aa-11-2015-100.
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Purpose This paper aims to propose a biologically inspired processing architecture to recognize and classify fabrics with respect to the weave pattern (fabric texture) and yarn color (fabric color). Design/methodology/approach By using the fabric weave patterns image identification system, this study analyzed the fabric image based on the Hierarchical-MAX (HMAX) model of computer vision, to extract feature values related to texture of fabric. Red Green Blue (RGB) color descriptor based on opponent color channels simulating the single opponent and double opponent neuronal function of the brain is incorporated in to the texture descriptor to extract yarn color feature values. Finally, support vector machine classifier is used to train and test the algorithm. Findings This two-stage processing architecture can be used to construct a system based on computer vision to recognize fabric texture and to increase the system reliability and accuracy. Using this method, the stability and fault tolerance (invariance) was improved. Originality/value Traditionally, fabric texture recognition is performed manually by visual inspection. Recent studies have proposed automatic fabric texture identification based on computer vision. In the identification process, the fabric weave patterns are recognized by the warp and weft floats. However, due to the optical environments and the appearance differences of fabric and yarn, the stability and fault tolerance (invariance) of the computer vision method are yet to be improved. By using our method, the stability and fault tolerance (invariance) was improved.
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Wei, Chenhao, Gang Lin, Jun Huang, Lei Song, and Howard Smith. "Flight testing verification of lateral-directional dynamic stability of gliding birds due to wing dihedral." Aircraft Engineering and Aerospace Technology 94, no. 11 (October 12, 2022): 29–44. http://dx.doi.org/10.1108/aeat-12-2021-0364.
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Purpose Unlike conventional aircraft, birds can glide without a vertical tail. The purpose of this paper is to analyse the influence of dihedral angle spanwise distribution on lateral-directional dynamic stability by the simulation, calculation in the development of the bird-inspired aircraft and the flight testing. Design/methodology/approach The gliding magnificent frigatebird (Fregata magnificens) was selected as the study object. The geometric and mass model of the study object were developed. Stability derivatives and moments of inertia were obtained. The lateral-directional stability was assessed under different spanwise distributions of dihedral angle. A bird-inspired aircraft was developed, and a flight test was carried out to verify the analysed results. Findings The results show that spanwise distribution changing of dihedral angle has influence on the lateral-directional mode stability. All of the analysed configurations have convergent Dutch roll mode and rolling mode. The key role of dihedral angle changing is to achieve a convergent spiral mode. Flight test results show that the bird-inspired aircraft has a well-convergent Dutch roll mode. Practical implications The theory that birds can achieve its lateral-directional stability by changing its dihedral angle spanwise distribution may explain the stability mechanism of gliding birds. Originality/value This paper helps to improve the understanding of bird gliding stability mechanism and provides bio-inspired solutions in aircraft designing.
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Morales Bieze, Thor, Alexandre Kruszewski, Bruno Carrez, and Christian Duriez. "Design, implementation, and control of a deformable manipulator robot based on a compliant spine." International Journal of Robotics Research 39, no. 14 (April 13, 2020): 1604–19. http://dx.doi.org/10.1177/0278364920910487.
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This article presents the conception, the numerical modeling, and the control of a dexterous, deformable manipulator bio-inspired by the skeletal spine found in vertebrate animals. Through the implementation of this new manipulator, we show a methodology based on numerical models and simulations, that goes from design to control of continuum and soft robots. The manipulator is modeled using a finite element method (FEM), using a set of beam elements that reproduce the lattice structure of the robot. The model is computed and inverted in real-time using optimization methods. A closed-loop control strategy is implemented to account for the disparities between the model and the robot. This control strategy allows for accurate positioning, not only of the tip of the manipulator, but also the positioning of selected middle points along its backbone. In a scenario where the robot is piloted by a human operator, the command of the robot is enhanced by a haptic loop that renders the boundaries of its task space as well as the contact with its environment. The experimental validation of the model and control strategies is also presented in the form of an inspection task use case.
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Becker, Joanne, Emmanuel Mermoz, and Jean-Marc Linares. "Determination of biological joint reaction forces from in-vivo experiments using a hybrid combination of biomechanical and mechanical engineering software." Mechanics & Industry 21, no. 6 (2020): 623. http://dx.doi.org/10.1051/meca/2020088.
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In biomechanical field, several studies used OpenSim software to compute the joint reaction forces from kinematics and ground reaction forces measurements. The bio-inspired joints design and their manufacturing need the usage of mechanical modeling and simulation software tools. This paper proposes a new hybrid methodology to determine biological joint reaction forces from in vivo measurements using both biomechanical and mechanical engineering softwares. The methodology has been applied to the horse forelimb joints. The computed joint reaction forces results would be compared to the results obtained with OpenSim in a previous study. This new hybrid model used a combination of measurements (bone geometry, kinematics, ground reaction forces…) and also OpenSim results (muscular and ligament forces). The comparison between the two models showed values with an average difference of 8% at trotting and 16% at jumping. These differences can be associated with the differences between the modelling strategies. Despite these differences, the mechanical modeling method allows the computation of advanced simulations to handle contact conditions in joints. In future, the proposed mechanical engineering methodology could open the door to define a biological digital twin of a quadruped limb including the real geometry modelling of the joint.
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Kong, Xianglong, Wenqi Wu, Lilian Zhang, Xiaofeng He, and Yujie Wang. "Performance improvement of visual-inertial navigation system by using polarized light compass." Industrial Robot: An International Journal 43, no. 6 (October 17, 2016): 588–95. http://dx.doi.org/10.1108/ir-03-2016-0103.
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Purpose This paper aims to present a method for improving the performance of the visual-inertial navigation system (VINS) by using a bio-inspired polarized light compass. Design/methodology/approach The measurement model of each sensor module is derived, and a robust stochastic cloning extended Kalman filter (RSC-EKF) is implemented for data fusion. This fusion framework can not only handle multiple relative and absolute measurements, but can also deal with outliers, sensor outages of each measurement module. Findings The paper tests the approach on data sets acquired by a land vehicle moving in different environments and compares its performance against other methods. The results demonstrate the effectiveness of the proposed method for reducing the error growth of the VINS in the long run. Originality/value The main contribution of this paper lies in the design/implementation of the RSC-EKF for incorporating the homemade polarized light compass into visual-inertial navigation pipeline. The real-world tests in different environments demonstrate the effectiveness and feasibility of the proposed approach.
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García‐Melendrez, Jaime, Walter M. Warren‐Vega, Ana I. Zárate‐Guzmán, Francisco Carrasco‐Marín, Linda V. González‐Gutiérrez, and Luis A. Romero‐Cano. "Development of Bio‐inspired Composite Materials for the Detection of Traces of Silver Present in Water: Use of Taguchi Methodology to Design Low‐cost Carbon Paste Electrodes." Electroanalysis 33, no. 8 (June 30, 2021): 1952–62. http://dx.doi.org/10.1002/elan.202100030.
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Bacciaglia, Antonio, Alessandro Ceruti, and Alfredo Liverani. "A systematic review of voxelization method in additive manufacturing." Mechanics & Industry 20, no. 6 (2019): 630. http://dx.doi.org/10.1051/meca/2019058.
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Additive manufacturing (AM) is becoming an important alternative to traditional processes. AM technology shows several advantages in literature, and its use increases in aerospace, automotive and biomedicine. Time reduction in design-to-manufacturing cycle, customization, capability to generate complex shapes in one piece and ability to imitate low-weight bio-inspired shapes are the strength of designs based on AM. Due to its potentials, major progresses were done in AM, thanks to technology evolution and increased computational power. With regard to AM, voxelization can be defined as part’s discretization in hexahedral elements, as done with pixels in 2D image. Voxels are used to speed-up geometry and algebraic manipulation thanks to their inherent advantages. This paper analyses advantages and criticalities of AM and voxel manipulation through a systematic literature review methodology. The analyses are based upon the filtering of a huge amount of publications available in literature up to obtaining the most significant 25 studies published in the last 5 years. The study’s main result is the technology gap’s identification, i.e. where AM and voxelization still need improvements, thus providing the reader with suggestions about possible further studies. Computer elaboration power and voxel discretization algorithms are suggested being key issues in AM’s further development.
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Zhou, Youcheng, Bin Zhong, Tao Fang, Jiming Liu, Xiaonong Zhou, and Shiwu Zhang. "Application of bio-inspired control of AmphiHex-I in detection of Oncomelania hupensis, the amphibious snail intermediate host of Schistosoma japonicum." Industrial Robot: An International Journal 44, no. 2 (March 20, 2017): 242–50. http://dx.doi.org/10.1108/ir-05-2016-0151.
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Purpose This paper aims to construct a central pattern generator (CPG) network that comprises coupled nonlinear oscillators to implement diversified locomotion gaits of robot AmphiHex-I. With the gaits, AmphiHex-I will have a strong locomotion ability in an amphibious environment, which is motivated by a novel public health application to detect the amphibious snail, Oncomelania hupensis, the snail intermediate host of Schistosoma japonicum, as an amphibious robot-based tool for schistosomiasis surveillance and response in the future. Design/methodology/approach First, the basis neural network was built by adopting six Hopf nonlinear oscillators which corresponded to six legs. Then, the correlation between the self-excited harmonic output signals generated from CPGs and various gaits was established. In view of requirements on its field application, the authors added a telecontrol system and an on-board battery to support the real-life remote control and a high-definition camera and a global positioning system module to acquire images and position information. Finally, the authors conducted the testing experiments on several tasks, e.g. detecting the distribution of Oncomelania hupensis snails. Findings The results demonstrate that the CPG is effective in controlling the robot’s diversified locomotion gaits. In addition, the robot is capable of fulfilling several testing tasks in the experiments. Originality/value The research provides a method based on CPG to control a hexapod robot with multiple motion patterns, which can effectively overcome the difficulty of motion control simply by changing certain mathematical parameters of a nonlinear equation, such as frequency, phase difference and offset angle, so as to realize the gait transitions. Also, using such a robot to probe the distribution of snails offers another way to tackle this laborious job, especially in some odious terrains, which will hence broaden the application of AmphiHex-I to vector surveillance in the fields of public health.
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Radha, Janagaraman, Srikrishna Subramanian, Sivarajan Ganesan, and Manoharan Abirami. "Emission/fuel energy restricted dynamic optimal power flow using fuzzy - ant lion optimizer." International Journal of Energy Sector Management 11, no. 2 (June 5, 2017): 208–56. http://dx.doi.org/10.1108/ijesm-04-2016-0003.
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Purpose This study aims to minimize operating cost, adhere to pollution norms and maintain reserve and voltage levels subject to various operational concerns, including non linear characteristics of generators and fuel limitation issues, which are useful for the current power system applications. Design/methodology/approach Improved control settings are required while considering multiple conflicting operational objectives that necessitate using the modern bio-inspired algorithm ant lion optimizer (ALO) as the main optimization tool. Fuzzy decision-making mechanism is incorporated in ALO to extract the best compromise solution (BCS) among set of non-dominated solutions. Findings The BCS records of IEEE-30 bus and JEAS-118 bus systems are updated in this work. Numerical simulation results comparison and comprehensive performance analysis justify the applicability of the intended algorithm to solve multi-objective dynamic optimal power flow (DOPF) problem over the state-of-art methods. Originality/value Optimal control settings are obtained for IEEE-30 and JEAS-118 bus systems with the objectives of minimizing fuel cost and emission in dynamic environment considering take-or-pay fuel contract issue. The fuzzy supported ALO (FSALO) is applied first time to solve the DOPF problem.
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Martínez Sarmiento, Fredy Hernán, and Diego Mauricio Acero Soto. "PID controller tuning using bacterial Quorum Sensing (QS)." Tecnura 24, no. 64 (April 1, 2020): 13–22. http://dx.doi.org/10.14483/22487638.16530.
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Objective: PID controllers are widely used to operate AC motors due to their simplicity and easy implementation. However, adjusting its parameters in search of an optimal scheme can be complex because it requires manual tuning by trial and error. This research aims to implement an optimized tuning scheme through a search based on the idealized behavior of a community of bacteria and its Quorum Sensing (QS).
Methodology: A closed-loop system model with PID control considering disturbances is proposed in order to tune a disturbance-resistant controller. The response of the model is calculated using a search that mimics a simplified model of bacterial behavior. The scheme uses ITSE (Integral Time Squared Error) as the performance index.
Results: The tuning resulting from the proposed scheme was evaluated by simulation and compared with tunings of the same model made by Root Locus and Genetic Algorithms (GA). The results showed a satisfactory response according the design criteria.
Conclusions: Nowadays, PID controllers are still basic industrial control tools, particularly important in motor operation. The performance of these controls depends fundamentally on the design of their gain. In the case of complex plants, additional tools are required to facilitate PID tuning. We propose an intelligent and bio-inspired tuning scheme that demonstrates high performance in laboratory tests.
Financing: University Francisco José de Caldas through the project 1-72-578-18.
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Zhong, Shanlin, Ziyu Chen, and Junjie Zhou. "Structure transforming for constructing constraint force field in musculoskeletal robot." Assembly Automation 42, no. 2 (December 1, 2021): 169–80. http://dx.doi.org/10.1108/aa-07-2021-0093.
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Purpose Human-like musculoskeletal robots can fulfill flexible movement and manipulation with the help of multi joints and actuators. However, in general, sophisticated structures, accurate sensors and well-designed control are all necessary for a musculoskeletal robot to achieve high-precision movement. How to realize the reliable and accurate movement of the robot under the condition of limited sensing and control accuracy is still a bottleneck problem. This paper aims to improve the movement performance of musculoskeletal system by bio-inspired method. Design/methodology/approach Inspired by two kinds of natural constraints, the convergent force field found in neuroscience and attractive region in the environment found in information science, the authors proposed a structure transforming optimization algorithm for constructing constraint force field in musculoskeletal robots. Due to the characteristics of rigid-flexible coupling and variable structures, a constraint force field can be constructed in the task space of the musculoskeletal robot by optimizing the arrangement of muscles. Findings With the help of the constraint force field, the robot can complete precise and robust movement with constant control signals, which brings in the possibility to reduce the requirement of sensing feedback during the motion control of the robot. Experiments are conducted on a musculoskeletal model to evaluate the performance of the proposed method in movement accuracy, noise robustness and structure sensitivity. Originality/value A novel concept, constraint force field, is proposed to realize high-precision movements of musculoskeletal robots. It provides a new theoretical basis for improving the performance of robotic manipulation such as assembly and grasping under the condition that the accuracy of control and sensory are limited.
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Mozaffari, Ahmad, Nasser L. Azad, and Alireza Fathi. "Simultaneous knowledge-based identification and optimization of PHEV fuel economy using hyper-level Pareto-based chaotic Lamarckian immune algorithm, MSBA and fuzzy programming." International Journal of Intelligent Computing and Cybernetics 8, no. 1 (March 9, 2015): 2–27. http://dx.doi.org/10.1108/ijicc-07-2014-0034.
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Purpose – The purpose of this paper is to probe the potentials of computational intelligence (CI) and bio-inspired computational tools for designing a hybrid framework which can simultaneously design an identifier to capture the underlying knowledge regarding a given plug-in hybrid electric vehicle’s (PHEVs) fuel cost and optimize its fuel consumption rate. Besides, the current investigation aims at elaborating the effectiveness of Pareto-based multiobjective programming for coping with the difficulties associated with such a tedious automotive engineering problem. Design/methodology/approach – The hybrid intelligent tool is implemented in two different levels. The hyper-level algorithm is a Pareto-based memetic algorithm, known as the chaos-enhanced Lamarckian immune algorithm (CLIA), with three different objective functions. As a hyper-level supervisor, CLIA tries to design a fast and accurate identifier which, at the same time, can handle the effects of uncertainty as well as use this identifier to find the optimum design parameters of PHEV for improving the fuel economy. Findings – Based on the conducted numerical simulations, a set of interesting points are inferred. First, it is observed that CI techniques provide us with a comprehensive tool capable of simultaneous identification/optimization of the PHEV operating features. It is concluded that considering fuzzy polynomial programming enables us to not only design a proper identifier but also helps us capturing the undesired effects of uncertainty and measurement noises associated with the collected database. Originality/value – To the best knowledge of the authors, this is the first attempt at implementing a comprehensive hybrid intelligent tool which can use a set of experimental data representing the behavior of PHEVs as the input and yields the optimized values of PHEV design parameters as the output.
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Tamerler, Candan, and Mehmet Sarikaya. "Molecular biomimetics: nanotechnology and bionanotechnology using genetically engineered peptides." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, no. 1894 (May 13, 2009): 1705–26. http://dx.doi.org/10.1098/rsta.2009.0018.
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Nature provides inspiration for designing materials and systems that derive their functions from highly organized structures. Biological hard tissues are hybrid materials having inorganics within a complex organic matrix, the molecular scaffold controlling the inorganic structures. Biocomposites incorporate both biomacromolecules such as proteins, lipids and polysaccharides, and inorganic materials, such as hydroxyapatite, silica, magnetite and calcite. The ordered organization of hierarchical structures in organisms begins via the molecular recognition of inorganics by proteins that control interactions and is followed by the highly efficient self-assembly across scales. Following the molecular biological principle, proteins could also be used in controlling materials formation in practical engineering via self-assembled, hybrid, functional materials structures. In molecular biomimetics, material-specific peptides could be the key in the molecular engineering of biology-inspired materials. With the recent developments of nanoscale engineering in physical sciences and the advances in molecular biology, we now combine genetic tools with synthetic nanoscale constructs to create a novel methodology. We first genetically select and/or design peptides with specific binding to functional solids, tailor their binding and assembly characteristics, develop bifunctional peptide/protein genetic constructs with both material binding and biological activity, and use these as molecular synthesizers, erectors and assemblers. Here, we give an overview of solid-binding peptides as novel molecular agents coupling bio- and nanotechnology.
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Mozaffari, Ahmad. "Synchronous self-learning Pareto strategy." International Journal of Intelligent Computing and Cybernetics 11, no. 2 (June 11, 2018): 197–233. http://dx.doi.org/10.1108/ijicc-05-2017-0050.
Full textAbstract:
Purpose In recent decades, development of effective methods for optimizing a set of conflicted objective functions has been absorbing an increasing interest from researchers. This refers to the essence of real-life engineering systems and complex natural mechanisms which are generally multi-modal, non-convex and multi-criterion. Until now, several deterministic and stochastic methods have been proposed to cope with such complex systems. Advanced soft computational methods such as evolutionary games (cooperative and non-cooperative), Pareto-based techniques, fuzzy evolutionary methods, cooperative bio-inspired algorithms and neuro-evolutionary systems have effectively come to the aid of researchers to build up efficient paradigms with application to vector optimization. The paper aims to discuss this issue. Design/methodology/approach A novel hybrid algorithm called synchronous self-learning Pareto strategy (SSLPS) is presented for the sake of vector optimization. The method is the ensemble of evolutionary algorithms (EA), swarm intelligence (SI), adaptive version of self-organizing map (CSOM) and a data shuffling mechanism. EA are powerful numerical optimization algorithms capable of finding a global extreme point over a wide exploration domain. SI techniques (the swarm of bees in our case) can improve both intensification and robustness of exploration. CSOM network is an unsupervised learning methodology which learns the characteristics of non-dominated solutions and, thus, enhances the quality of the Pareto front. Findings To prove the effectiveness of the proposed method, the authors engage a set of well-known benchmark functions and some well-known rival optimization methods. Additionally, SSLPS is employed for optimal design of shape memory alloy actuator as a nonlinear multi-modal real-world engineering problem. The experiments show the acceptable potential of SSLPS for handling both numerical and engineering multi-objective problems. Originality/value To the author’s best knowledge, the proposed algorithm is among the rare multi-objective methods which fosters the use of automated unsupervised learning for increasing the intensity of Pareto front (while preserving the diversity). Also, the research evaluates the power of hybridization of SI and EA for efficient search.