Relevant bibliographies by topics / Biological engineering design

Academic literature on the topic 'Biological engineering design'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Biological engineering design"

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Vattam, Swaroop S., Michael E. Helms, and Ashok K. Goel. "A content account of creative analogies in biologically inspired design." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 24, no. 4 (October 25, 2010): 467–81. http://dx.doi.org/10.1017/s089006041000034x.

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AbstractThe growing movement of biologically inspired design is driven in part by the need for sustainable development and in part by the recognition that nature could be a source of innovation. Biologically inspired design by definition entails cross-domain analogies from biological systems to problems in engineering and other design domains. However, the practice of biologically inspired design at present typically isad hoc, with little systemization of either biological knowledge for the purposes of engineering design or the processes of transferring knowledge of biological designs to engineering problems. In this paper we present an intricate episode of biologically inspired engineering design that unfolded over an extended period of time. We then analyze our observations in terms ofwhy,what,how, andwhenquestions of analogy. This analysis contributes toward a content theory of creative analogies in the context of biologically inspired design.
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Nagel, Jacquelyn K. S., Robert L. Nagel, Robert B. Stone, and Daniel A. McAdams. "Function-based, biologically inspired concept generation." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 24, no. 4 (October 25, 2010): 521–35. http://dx.doi.org/10.1017/s0890060410000375.

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AbstractThe natural world provides numerous cases for inspiration in engineering design. Biological organisms, phenomena, and strategies, which we refer to as biological systems, provide a rich set of analogies. These systems provide insight into sustainable and adaptable design and offer engineers billions of years of valuable experience, which can be used to inspire engineering innovation. This research presents a general method for functionally representing biological systems through systematic design techniques, leading to the conceptualization of biologically inspired engineering designs. Functional representation and abstraction techniques are used to translate biological systems into an engineering context. The goal is to make the biological information accessible to engineering designers who possess varying levels of biological knowledge but have a common understanding of engineering design. Creative or novel engineering designs may then be discovered through connections made between biology and engineering. To assist with making connections between the two domains concept generation techniques that use biological information, engineering knowledge, and automatic concept generation software are employed. Two concept generation approaches are presented that use a biological model to discover corresponding engineering components that mimic the biological system and use a repository of engineering and biological information to discover which biological components inspire functional solutions to fulfill engineering requirements. Discussion includes general guidelines for modeling biological systems at varying levels of fidelity, advantages, limitations, and applications of this research. The modeling methodology and the first approach for concept generation are illustrated by a continuous example of lichen.
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Nagel, Jacquelyn K. S., and Robert B. Stone. "A computational approach to biologically inspired design." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 26, no. 2 (April 20, 2012): 161–76. http://dx.doi.org/10.1017/s0890060412000054.

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AbstractThe natural world provides numerous cases for analogy and inspiration in engineering design. During the early stages of design, particularly during concept generation when several variants are created, biological systems can be used to inspire innovative solutions to a design problem. However, identifying and presenting the valuable knowledge from the biological domain to an engineering designer during concept generation is currently a somewhat disorganized process or requires extensive knowledge of the biological system. To circumvent the knowledge requirement problem, we developed a computational approach for discovering biological inspiration during the early stages of design that integrates with established function-based design methods. This research defines and formalizes the information identification and knowledge transfer processes that enable systematic development of biologically inspired designs. The framework that supports our computational design approach is provided along with an example of a smart flooring device to demonstrate the approach. Biologically inspired conceptual designs are presented and validated through a literature search and comparison to existing products.
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Gill, Ryan T., Andrea L. Halweg-Edwards, Aaron Clauset, and Sam F. Way. "Synthesis aided design: The biological design-build-test engineering paradigm?" Biotechnology and Bioengineering 113, no. 1 (November 17, 2015): 7–10. http://dx.doi.org/10.1002/bit.25857.

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Owoseni, T. A., S. G. Olukole, A. I. Gadu, I. A. Malik, and W. O. Soboyejo. "Bioinspired Design." Advanced Materials Research 1132 (December 2015): 252–66. http://dx.doi.org/10.4028/www.scientific.net/amr.1132.252.

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Bioinspired design involves the use of concepts observed in natural biological materials in engineering design. The hope is that the leveraging of biological materials in the engineering domain can lead to many technological innovations and novel products. This work presents the initial material characterization of kinixys erosa tortoise shell using a combination of x-ray diffraction, optical/scanning electron microscopy and micro-mechanical testing. The results were used in the analytical/computational modelling of shell structures. The potential implications or the results were then discussed to give fundamental understanding of deformation and stress responses of shell structures
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Punzo, Giuliano, and Euan W. McGookin. "Engineering the locusts: Hind leg modelling towards the design of a bio-inspired space hopper." Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics 230, no. 4 (August 3, 2016): 455–68. http://dx.doi.org/10.1177/1464419315624852.

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The mechanical operation of a biologically inspired robot hopper is presented. This design is based on the hind leg dynamics and jumping gait of a desert locust ( Schistocerca gregaria). The biological mechanism is represented as a lumped mass system. This emulates the muscle activation sequence and gait responsible for the long, coordinated jump of locusts, whilst providing an engineering equivalent for the design of a biological inspired hopper for planetary exploration. Despite the crude simplification, performance compares well against biological data found in the literature and scaling towards size more typical of robotic realisation are considered from an engineering point of view. This aspect makes an important contribution to knowledge as it quantifies the balance between biological similarity and efficiency of the biomimetic hopping mechanism. Further, this work provides useful information towards the biomimetic design of a hopper vehicle whilst the analysis uncover the range maximisation conditions for powered flight at constant thrust by analytic means. The proposed design bridges concepts looking at the gait dynamics and designs oriented to extended, full powered trajectories.
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Griffin, P., and G. E. Findlay. "Process and engineering improvements to rotating biological contactor design." Water Science and Technology 41, no. 1 (January 1, 2000): 137–44. http://dx.doi.org/10.2166/wst.2000.0022.

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The numerous process and operational advantages of using Rotating Biological Contactors to treat the flows of sewage from small communities are well documented, but more widespread adoption of the technology has been hindered by inadequate design and engineering which has led to excessive mechanical failures. The mechanical problems have tended to be interrelated with process requirements and both required addressing before a robust design able to achieve the required performance and 20 year asset life was achieved. The performance of plants with an improved rotor design (marketed as Bistar) is compared with plants with rotors by other manufacturers and found to be comparable. M+E costs have not been shown to increase as a result of more stringent specification. Other engineering problems including stormwater separation and division of small flows have also been addressed.
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Shu, L. H. "A natural-language approach to biomimetic design." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 24, no. 4 (October 25, 2010): 507–19. http://dx.doi.org/10.1017/s0890060410000363.

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AbstractThis paper summarizes various aspects of identifying and applying biological analogies in engineering design using a natural-language approach. To avoid the immense as well as potentially biased task of creating a biological database specifically for engineering design, the chosen approach searches biological knowledge in natural-language format, such as books and papers, for instances of keywords describing the engineering problem. Strategies developed to facilitate this search are identified, and how text descriptions of biological phenomena are used in problem solving is summarized. Several application case studies are reported to illustrate the approach. The value of the natural-language approach is demonstrated by its ability to identify relevant biological analogies that are not limited to those entered into a database specifically for engineering design.
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Jeronimidis, G., and A. G. Atkins. "Mechanics of Biological Materials and Structures: Nature's Lessons for the Engineer." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 209, no. 4 (July 1995): 221–35. http://dx.doi.org/10.1243/pime_proc_1995_209_149_02.

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Biological structures have evolved to fit their purpose and a discussion is given of the materials and engineering reasons for their success. The contrast is made between traditional engineering's extraction of maximum benefit from choice of materials and Nature's extraction of maximum benefit from structural shapes made of indifferent materials. The issue of integration and continuous optimization from the molecular level up to large structural components is highlighted. The relevance of such principles to engineering design is explored. Biological systems are also intelligent and an exciting possibility is that the engineering designer will be able to make use of materials and structures that are capable of preparing themselves for future events, not merely respond to immediate events. This, and ideas of integrating use with function, will require radical changes in design thought processes.
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He, Ya Yin. "Application Research of Reverse Engineering in the Bionic Structure Design." Advanced Materials Research 460 (February 2012): 82–85. http://dx.doi.org/10.4028/www.scientific.net/amr.460.82.

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According to the fact that there need the model to simulate the biological structure and principle in the modern bionic design, the thought combining the reverse engineering(RE) with the bionic structure design was put forward. Taking the crab model as an example, the establishing scan model, gathering data, disposal of data, reconstructing CAD model have been explained in detail. The results indicated that reverse engineering is a very useful tool for revealing the biologically geometrical shapes and morphologies quantitatively. This work laid a basis for the RE technology applied to the bionic structure design
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Dissertations / Theses on the topic "Biological engineering design"

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De, Picciotto Seymour. "Protein engineering design principles for the development of biosensors." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99053.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biological Engineering, 2015.
Cataloged from PDF version of thesis.
Includes bibliographical references.
Investigating protein location and concentration is critical to understanding function. Reagentless biosensors, in which a reporting fluorophore is conjugated to a binding scaffold, can detect analytes of interest with high temporal and spatial resolution. However, because these biosensors require laborious empirical screening to develop, their adoption has been limited. Hence, we establish design principles that will facilitate development. In this thesis, we first develop a kinetic model for the dynamic performance of a reagentless biosensor. Using a sinusoidal signal for ligand concentration, our findings suggest that it is optimal to use a binding moiety whose equilibrium dissociation constant matches that of the average predicted input signal, while maximizing both the association rate constant and the dissociation rate constant at the necessary ratio to create the desired equilibrium constant. Although practical limitations constrain the attainment of these objectives, the derivation of these design principles provides guidance for improved reagentless biosensor performance and metrics for quality standards in the development of biosensors. Following these guidelines, we use the human tenth type III fibronectin domain to engineer new binders against several ligands of the EGFR receptor. Using these binders and others, we design and characterize biosensors based on various target analytes, scaffolds and fluorophores. We observe that analytes can harbor specific binding pockets for the fluorophore, which sharply increase the fluorescence produced upon binding. Furthermore, we demonstrate that a fluorophore conjugated to locally rigid surfaces possesses lower background fluorescence. Based on these newly identified properties, we design biosensors that produce a 100-fold increase in fluorescence upon binding to analyte, about a 10-fold improvement over the previous best biosensor. In order to improve the methodology of reagentless biosensor design, we establish a method for site-specific labeling of proteins displayed on the surface of yeasts. This procedure allows for the screening of libraries of sensors for binding and fluorescence enhancement simultaneously. Finally, we explore an alternative sensor design, based on competitive inhibition of fluorescence quenching.
by Seymour de Picciotto.
Ph. D.
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Norville, Julie Erin 1980. "Modular design of biological systems." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/71484.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2012.
"February 2012." Cataloged from PDF version of thesis.
Includes bibliographical references (p. [153]-191).
The focus of my research is the development of technology for building compound biological systems from simpler pieces. I designed BioScaffold parts, a family of variable regions that can be inserted into a DNA sequence so that at a later time another set of pieces can be substituted for each variable. The variable regions are selective so that a particular piece can be targeted to each region. I have used this technique to assemble protein domains, tune the expression levels of proteins and remove BioBrick scars. BioScaffold parts can be used in combination with BioBrick Standard Biological Parts to create and store devices with tunable components. I developed simplified methods to produce and examine SbpA, a protein that can either self associate into two-dimensional crystals or bring together fused enzymes when divalent cations such as calcium are added to the protein monomers. My fast and easy purification protocol allows SbpA to be produced under non-denaturing conditions as well as examination of the native state of the protein monomers before crystallization. The absence of a white precipitate when calcium is added to SbpA monomers concentrated to 1 mg/ml provides a simple visual screen that indicates that the protein has failed to crystallize. I also developed a protocol to embed SbpA crystallized on lipid monolayers in trehalose for electron microscopy, allowing creation of a 7 Å resolution map for SbpA. I created a cells-on-paper system to compose, isolate, and subsequently destack and examine different cell types grown in sheets of ordinary filter paper and maintained in a humidified incubation chamber. I found that E coli diluted in LB broth and then applied to filter paper grew at rates similar to the same culture spotted on agar plates. Track etch membranes could be used to isolate different cell types, while still allowing chemical communication between the layers. Use of plasmids that contain fluorescent proteins allowed the behaviour of cells to be tracked using a scanner after destacking of the layers. The cells-on-paper system can be used both to test and construct modular synthetic systems composed of bacterial ensembles and to create and examine the behavior of compositions of cell types typically found in biofilms.
by Julie Erin Norville.
Ph.D.
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Apgar, Joshua Farley. "Experiment design for systems biology." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/61217.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Biological Engineering, 2009.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 219-233).
Mechanism-based chemical kinetic models are increasingly being used to describe biological signaling. Such models serve to encapsulate current understanding of pathways and to enable insight into complex biological processes. Despite the growing interest in these models, a number of challenges frustrate the construction of high-quality models. First, the chemical reactions that control biochemical processes are only partially known, and multiple, mechanistically distinct models often fit all of the available data and known chemistry. We address this by providing methods for designing dynamic stimuli that can distinguish among models with different reaction mechanisms in stimulus-response experiments. We evaluated our method on models of antibody-ligand binding, mitogen-activated protein kinase phosphorylation and de-phosphorylation, and larger models of the epidermal growth factor receptor (EGFR) pathway. Inspired by these computational results, we tested the idea that pulses of EGF could help elucidate the relative contribution of different feedback loops within the EGFR network. These experimental results suggest that models from the literature do not accurately represent the relative strength of the various feedback loops in this pathway. In particular, we observed that the endocytosis and feedback loop was less strong than predicted by models, and that other feedback mechanisms were likely necessary to deactivate ERK after EGF stimulation. Second, chemical kinetic models contain many unknown parameters, at least some of which must be estimated by fitting to time-course data. We examined this question in the context of a pathway model of EGF and neuronal growth factor (NGF) signaling. Computationally, we generated a palette of experimental perturbation data that included different doses of EGF and NGF as well as single and multiple gene knockdowns and overexpressions. While no single experiment could accurately estimate all of the parameters, we identified a set of five complementary experiments that could. These results suggest that there is reason to be optimistic about the prospects for parameter estimation in even large models. Third, there is no standard formulation for chemical kinetic models of biological signaling. We propose a general and concise formulation of mass action kinetics based on sparse matrices and Kronecker products. This formulation allows any mass action model and its partial derivatives to be represented by simple matrix equations, which enabled straightforward application of several numerical methods. We show that models that use other rate laws such as MichaelisMenten can be converted to our formulation. We demonstrate this by converting a model of Escherichia coli central carbon metabolism to use only mass action kinetics. The dynamics of the new model are similar to the original model. However, we argue that because our model is based on fewer approximations it has the potential to be more accurate over a wider range of conditions. Taken together, the work presented here demonstrates that experimental design methodology can be successfully used to improve the quality of mechanism-based chemical kinetic models.
by Joshua Farley Apgar.
Ph.D.
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Shetty, Reshma P. (Reshma Padmini). "Applying engineering principles to the design and construction of transcriptional devices." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/44921.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Biological Engineering Division, 2008.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (leaves 180-203).
The aim of this thesis is to consider how fundamental engineering principles might best be applied to the design and construction of engineered biological systems. I begin by applying these principles to a key application area of synthetic biology: metabolic engineering. Abstraction is used to compile a desired system function, reprogramming bacterial odor, to devices with human-defined function, then to biological parts, and finally to genetic sequences. Standardization is used to make the process of engineering a multi-component system easier. I then focus on devices that implement digital information processing through transcriptional regulation in Escherichia coli. For simplicity, I limit the discussion to a particular type of device, a transcriptional inverter, although much of the work applies to other devices as well. First, I discuss basic issues in transcriptional inverter design. Identification of key metrics for evaluating the quality of a static device behavior allows informed device design that optimizes digital performance. Second, I address the issue of ensuring that transcriptional devices work in combination by presenting a framework for developing standards for functional composition. The framework relies on additional measures of device performance, such as error rate and the operational demand the device places on the cellular chassis, in order to proscribe standard device signal thresholds. Third, I develop an experimental, proof-of-principle implementation of a transcriptional inverter based on a synthetic transcription factor derived from a zinc finger DNA binding domain and a leucine zipper dimerization domain. Zinc fingers and leucine zippers offer a potential scalable solution to the challenge of building libraries of transcription-based logic devices for arbitrary information processing in cells.
(cont.) Finally, I extend the principle of physical composition standards from parts and devices to the vectors that propagate those parts and devices. The new vectors support the assembly of biological systems. Taken together, the work helps to advance the transformation of biological system design from an ad hoc, artisanal craft to a more predictable, engineering discipline.
by Reshma P. Shetty.
Ph.D.
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Edward, Drabold T. "BIOLOGICAL DESIGN OF CONTINUOUS MICROALGAE SYSTEMS: A REVIEW." Ohio University Honors Tutorial College / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ouhonors161891425130329.

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Drabold, Edward T. "BIOLOGICAL DESIGN OF CONTINUOUS MICROALGAE SYSTEMS: A REVIEW." Ohio University Honors Tutorial College / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ouhonors161891425130329.

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Nielsen, Alec A. K. "Biomolecular and computational frameworks for genetic circuit design." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/109665.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biological Engineering, 2017.
Page 322 blank. Cataloged from PDF version of thesis.
Includes bibliographical references (pages 295-321).
Living cells naturally use gene regulatory networks termed "genetic circuits" to exhibit complex behaviors such as signal processing, decision-making, and spatial organization. The ability to rationally engineer genetic circuits has applications in several biotechnology areas including therapeutics, agriculture, and materials. However, genetic circuit construction has traditionally been time- and labor-intensive; tuning regulator expression often requires manual trial-and-error, and the results frequently function incorrectly. To improve the reliability and pace of genetic circuit engineering, we have developed biomolecular and computational frameworks for designing genetic circuits. A scalable biomolecular platform is a prerequisite for genetic circuits design. In this thesis, we explore TetR-family repressors and the CRISPRi system as candidates. First, we applied 'part mining' to build a library of TetR-family repressors gleaned from prokaryotic genomes. A subset were used to build synthetic 'NOT gates' for use in genetic circuits. Second, we tested catalytically-inactive dCas9, which employs small guide RNAs (sgRNAs) to repress genetic loci via the programmability of RNA:DNA base pairing. To this end, we use dCas9 and synthetic sgRNAs to build transcriptional logic gates with high on-target repression and negligible cross-talk, and connected them to perform computation in living cells. We further demonstrate that a synthetic circuit can directly interface a native E. coli regulatory network. To accelerate the design of circuits that employ these biomolecular platforms, we created a software design tool called Cello, in which a user writes a high-level functional specification that is automatically compiled to a DNA sequence. Algorithms first construct a circuit diagram, then assign and connect genetic "gates", and simulate performance. Reliable circuit design requires the insulation of gates from genetic context, so that they function identically when used in different circuits. We used Cello to design the largest library of genetic circuits to date, where each DNA sequence was built as predicted by the software with no additional tuning. Across all circuits 92% of the output states functioned as predicted. Design automation simplifies the incorporation of genetic circuits into biotechnology projects that require decisionmaking, control, sensing, or spatial organization.
by Alec A.K. Nielsen.
Ph. D.
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Hagen, David Robert. "Parameter and topology uncertainty for optimal experimental design." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90148.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biological Engineering, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 157-169).
A major effort of systems biology is the building of accurate and detailed models of biological systems. Because biological models are large, complex, and highly nonlinear, building accurate models requires large quantities of data and algorithms appropriate to translate this data into a model of the underlying system. This thesis describes the development and application of several algorithms for simulation, quantification of uncertainty, and optimal experimental design for reducing uncertainty. We applied a previously described algorithm for choosing optimal experiments for reducing parameter uncertainty as estimated by the Fisher information matrix. We found, using a computational scenario where the true parameters were unknown, that the parameters of the model could be recovered from noisy data in a small number of experiments if the experiments were chosen well. We developed a method for quickly and accurately approximating the probability distribution over a set of topologies given a particular data set. The method was based on a linearization applied at the maximum a posteriori parameters. This method was found to be about as fast as existing heuristics but much closer to the true probability distribution as computed by an expensive Monte Carlo routine. We developed a method for optimal experimental design to reduce topology uncertainty based on the linear method for topology probability. This method was a Monte Carlo method that used the linear method to quickly evaluate the topology uncertainty that would result from possible data sets of each candidate experiment. We applied the method to a model of ErbB signaling. Finally, we developed a method for reducing the size of models defined as rule-based models. Unlike existing methods, this method handles compartments of models and allows for cycles between monomers. The methods developed here generally improve the detail at which models can be built, as well as quantify how well they have been built and suggest experiments to build them even better.
by David Robert Hagen.
Ph. D.
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Wurtzler, Elizabeth M. "Selective Biological Photodisinfection." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1457426247.

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Buchanan, Ian 1953. "Deterministic and risk-based design of rotating biological contactors." Thesis, McGill University, 1992. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=56785.

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A method of minimizing the total active disc area, required for the removal of soluble biochemical oxygen demand (SBOD), by a multi-stage rotating biological contactor (RBC) operating steady-state is proposed. Both deterministic and stochastic inputs are considered.
Total active disc area and the number of RBC stages are optimized for the deterministic case, and are then incorporated into a risk-based method of assigning per-stage active disc areas. The risk of the final stage SBOD exceeding a fixed effluent standard is evaluated by taking into account the variable nature of the influent flowrate and SBOD concentration. Bivariate normal, lognormal and shifted lognormal distributions are considered as models for the input random variables. The effluent SBOD probability density function is obtained according to the method of transformation of random variables. Illustrative examples are presented.
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Books on the topic "Biological engineering design"

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Jen, Erica. Robust design: Repertoire of biological, ecological, and engineering case studies. Edited by Jen Erica. New York: Oxford University Press, 2005.

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Robust design: Repertoire of biological, ecological, and engineering case studies. New York: Oxford University Press, 2005.

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Jan Roelof van der Meer. Bacterial sensors: Synthetic design and application principles. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool, 2011.

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service), SpringerLink (Online, ed. Biological Functions for Information and Communication Technologies: Theory and Inspiration. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

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Sharma, Kal Renganathan. Transport phenomena in biomedical engineering: Artificial organ design and development and tissue engineering. New York: McGraw-Hill, 2010.

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Sharma, Kal Renganathan. Transport phenomena in biomedical engineering: Artificial organ design and development, and tissue engineering. New York: McGraw-Hill, 2010.

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M, Silva Lucas F., Altenbach Holm 1956-, and SpringerLink (Online service), eds. Analysis and Design of Biological Materials and Structures. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Rocha, Luiz A. O. Constructal Law and the Unifying Principle of Design. New York, NY: Springer New York, 2013.

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A, Sousa Leonel, ed. Bioelectronic vision: Retina models, evaluation metrics, and system design. Hackensack, NJ: World Scientific, 2009.

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Dickson, Eva F. Gudgin. Personal protective equipment for chemical, biological, and radiological hazards: Design, evaluation, and selection. Hoboken, N.J: Wiley, 2012.

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Book chapters on the topic "Biological engineering design"

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Basham, Eric, Zhi Yang, Natalia Tchemodanov, and Wentai Liu. "Magnetic Stimulation of Neural Tissue: Techniques and System Design." In Biological and Medical Physics, Biomedical Engineering, 293–351. New York, NY: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-77261-5_10.

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Buchanan, Ian, and Roland Leduc. "Probabilistic Design of Multi-Stage Rotating Biological Contactors." In Stochastic and Statistical Methods in Hydrology and Environmental Engineering, 113–25. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-017-3081-5_9.

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Abdel-Aal, H. A., and M. El Mansori. "Reptilian Skin as a Biomimetic Analogue for the Design of Deterministic Tribosurfaces." In Biological and Medical Physics, Biomedical Engineering, 51–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-11934-7_4.

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Song, Liang, Xitai Wang, Siyuan Gong, Zengguang Shi, and Lingling Chen. "Design of Active Artificial Knee Joint." In 7th Asian-Pacific Conference on Medical and Biological Engineering, 155–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79039-6_40.

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Hellmich, Christian, Andreas Fritsch, and Luc Dormieux. "Multiscale Homogenization Theory: An Analysis Tool for Revealing Mechanical Design Principles in Bone and Bone Replacement Materials." In Biological and Medical Physics, Biomedical Engineering, 81–103. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-11934-7_5.

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Bryant, J. "Introduction: Part I–Design and information in biological systems." In WIT Transactions on State-of-the-art in Science and Engineering, 1–11. Southampton UK: WIT Press, 2006. http://dx.doi.org/10.2495/978-1-85312-853-0/01.

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Feng, Fan, and Jiansheng Xu. "Design and Research of Swinging Magnetic Field System Suitable for Biological Experiment." In Lecture Notes in Electrical Engineering, 1142–49. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1870-4_119.

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Marinou, Mary, and Nicolas Pallikarakis. "Mobile Health Applications: Design, Regulation and Assessment." In XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016, 979–82. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32703-7_191.

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Hedjazi, Naceur, Abderraouf Benali, Mourad Bouzit, and Zohir Dibi. "An Omnidirectional Platform Design: Application to Posture Analysis." In XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016, 602–7. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32703-7_117.

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Shi, Yejiao, Ran Lin, Honggang Cui, and Helena S. Azevedo. "Multifunctional Self-Assembling Peptide-Based Nanostructures for Targeted Intracellular Delivery: Design, Physicochemical Characterization, and Biological Assessment." In Biomaterials for Tissue Engineering, 11–26. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7741-3_2.

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Conference papers on the topic "Biological engineering design"

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Nagel, Jacquelyn K. S., and Robert B. Stone. "A Systematic Approach to Biologically-Inspired Engineering Design." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47398.

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To facilitate systematic biologically-inspired design, a design methodology that integrates with function-based design methodologies has been formalized. The goals of this methodology are to go beyond the element of chance, reduce the amount of time and effort required for developing biologically-inspired engineering solutions, and bridge the seemingly immense disconnect between the engineering and biological domains. Using functional representation and abstraction to describe biological systems presents the natural designs in an engineering context and allows designers to make connections between biological and engineered systems. Thus, the biological information is accessible to engineering designers with varying biological knowledge, but a common understanding of engineering design methodologies. Two approaches to validation are presented. One examines current biologically-inspired products either in production or in literature to see if the systematic approach to biologically-inspired design can reproduce the existing designs. The second investigates needs-based design problems that lead to plausible biologically-inspired solutions. This work has demonstrated the feasibility of using systematic design for the discovery of innovative engineering designs without requiring expert-level knowledge, but rather broad knowledge of many fields.
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Bradley P. Marks. "Teaching Engineering Design to Biological Engineering Freshmen." In 2001 Sacramento, CA July 29-August 1,2001. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2001. http://dx.doi.org/10.13031/2013.6280.

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Seipel, Justin. "Mechanistic Model-Based Method for Bio-Inspired Design and Education." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-64595.

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Biologically-inspired design is challenging because it requires creative transfer across biological and engineering disciplines. The biologically-inspired design process could therefore be improved with new tools, methods, and pedagogy that enables a smooth transition from a biological example or concept to a conceptual engineering design based on existing engineering components and practices. Two important problems can arise immediately when an engineer or student attempts bioinspired design: I. The practitioner or student of biological inspiration or biomimicry may not understand what the biological mechanism is that underlies a particular function of interest, and may begin engineering conceptual design with a misunderstanding of the essential mechanism required. II. Even when the correct biological mechanism is identified and a conceptual biological model is developed prior to engineering design, it may remain difficult to transition from a biological conceptual model of mechanism to an engineering conceptual design because the way these systems are composed and manufactured can be entirely different. For these reasons a formal process is developed here that links biological science with engineering design: where a biological mechanism of interest is first abstracted to a mechanistic conceptual model that focuses on the scope of the function of interest and removes other levels of biological detail. This results in a physiologically-independent conceptual model that links biological and engineering concepts. Then, subsequently, this inter-disciplinary conceptual model is re-embodied as an engineering design concept utilizing the current state of engineering art, available engineering components, and best practices. An example is presented of an existing class of biologically-inspired legged robots and their relationship to an abstract mathematical model of whole-body animal locomotion. Also, a teaching method is proposed for model-based biologically-inspired engineering design.
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Nagel, Jacquelyn K. S., Robert B. Stone, and Daniel A. McAdams. "Exploring the Use of Category and Scale to Scope a Biological Functional Model." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28873.

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The natural world provides numerous cases for analogy and inspiration in engineering design. Biological organisms, phenomena and strategies, herein referred to as biological systems, are, in essence, living engineered systems. These living systems provide insight into sustainable and adaptable design and offer engineers billions of years of valuable experience, which can be used to inspire engineering innovation. This research presents a general method for functionally representing biological systems through systematic design techniques, affording conceptualization of biologically-inspired, engineering designs. Functional representation and abstraction techniques are utilized to translate biological systems into an engineering context. Thus, the biological system information is accessible to engineering designers with varying biological knowledge, but a common understanding of engineering design methods. Functional modeling is typically driven by customer needs or product re-designs; however, these cannot be applied to biological systems. Thus, we propose the use of biological category and scale to guide the design process. Mimicry categories and scales, in addition to answering a design question, aid the designer with defining boundaries or scope when developing a biological functional model. Biological category assists with framing the information in the right perspective, where as, biological scale deals with how much detail is required for an adequate representation of the biological system to utilize the information with a chosen engineering design method. In our case, the engineering design method is function-based design. Choosing a category serves to refine the boundary, but, like scale, its consideration might prompt the designer to consider the same biological system in a new and unique way leading to new ideas. General guidelines for modeling biological systems at varying scales and categories are given, along with two modeling examples.
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Helms, Michael, Swaroop Vattam, and Ashok Goel. "The Effect of Functional Modeling on Understanding Complex Biological Systems." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28939.

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Biologically inspired engineering design requires understanding of complex biological systems for use as analogues in engineering designs. In this study we seek to understand how functional representations, in particular Structure-Behavior-Function (SBF) models, enable understanding complex biological systems. Results from this study indicate that SBF representations may enable more accurate inferences about biological systems for complex and abstract questions than purely textual, or textual and diagrammatic, representations. They also suggest that no one representation is best for all types of inferences.
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Nagel, Jacquelyn K. S., Robert B. Stone, and Daniel A. McAdams. "An Engineering-to-Biology Thesaurus for Engineering Design." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28233.

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Engineering design is considered a creative field that involves many activities with the end goal of a new product that fulfills a purpose. Utilization of systematic methods or tools that aid in the design process is recognized as standard practice in industry and academia. The tools are used for a number of design activities (i.e., idea generation, concept generation, inspiration searches, functional modeling) and can span across engineering disciplines, the sciences (i.e., biology, chemistry) or a non-engineering domain (i.e., medicine), with an overall focus of encouraging creative engineering designs. Engineers, however, have struggled with utilizing the vast amount of biological information available from the natural world around them. Often it is because there is a knowledge gap or terminology is difficult, and the time needed to learn and understand the biology is not feasible. This paper presents an engineering-to-biology thesaurus, which we propose affords engineers, with limited biological background, a tool for leveraging nature’s ingenuity during many steps of the design process. Additionally, the tool could also increase the probability of designing biologically-inspired engineering solutions. Biological terms in the thesaurus are correlated to the engineering domain through pairing with a synonymous function or flow term of the Functional Basis lexicon, which supports functional modeling and abstract representation of any functioning system. The second version of the thesaurus presented in this paper represents an integration of three independent research efforts, which include research from Oregon State University, the University of Toronto, and the Indian Institute of Science, and their industrial partners. The overall approach for term integration and the final results are presented. Applications to the areas of design inspiration, comprehension of biological information, functional modeling, creative design and concept generation are discussed. An example of comprehension and functional modeling are presented.
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McPherson, Jeffrey D., Ian R. Grosse, Sundar Krishnamurty, Jack C. Wileden, Elizabeth R. Dumont, and Michael A. Berthaume. "Integrating Biological and Engineering Ontologies." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13527.

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As methods for engineering data acquisition improve, methods for storing, generating knowledge from, and sharing that data for efficient reuse have become more important. Knowledge management in the engineering community can greatly benefit from advancements made in knowledge management in biology. The biological community has already made progress in knowledge management through projects such as the Gene Ontology and CellML, and it behooves the engineering community to learn from their successes. Engineering and biology overlap in the field of biosimulation, (i.e. finite-element analysis of biological systems, see www.biomesh.org) which gives an opportunity to integrate successful ontologies from the biology community into the engineering community. Previous research has led to the creation of the Biomesh project, which is a collection of biological finite element (FE) models. These FE models relate to a particular anatomical structure of an organism, and to the set of biological material properties associated with the models. Thus, knowledge management for this application requires knowledge integration from three distinct fields: engineering (materials and models), anatomy, and biological classification. The existing e-Design Framework offers the Engineering Analysis Models ontology and Materials ontology to store knowledge about materials and FE models. Similarly, the existing Minimal Anatomical Terms ontology and the NCBI Organismal Classification taxonomy were used to store information about anatomy and biological classification, respectively. In this paper these ontologies are interlinked in a single, synergistic ontology to expose and integrate knowledge in a transparent manner between previously disparate domains. A case study is presented to demonstrate the usefulness of the approach in which knowledge from a biological material and FE model are methodically stored in the new ontology, and the organismal classification and anatomical structure of the model are immediately exposed to the user.
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Cheong, Hyunmin, L. H. Shu, Robert B. Stone, and Daniel A. McAdams. "Translating Terms of the Functional Basis Into Biologically Meaningful Keywords." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49363.

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Biology has long been recognized as an excellent source of analogies and stimuli for engineering design. Previous work focused on the systematic identification of relevant biological analogies by searching for instances of functional keywords in biological information in natural language format. This past work revealed that engineering keywords couldn’t always be used to identify the most relevant biological analogies, as the vocabularies between biology and engineering are sufficiently distinct. Therefore, a method of identifying biologically meaningful keywords that correspond to engineering keywords was developed. Here, we apply and refine this method by generating biologically meaningful keywords for the terms of the Functional Basis, which is widely accepted as a standardized representation of the functionality of engineering products. We present insights gained on the selection of biologically meaningful keywords for the function sets based on semantic relations. We then observe the use of our keywords by providing 4th year undergraduate design students with the biologically meaningful keywords that are related to the desired functions of their design projects.
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Wilson, Jamal O., and David Rosen. "Systematic Reverse Engineering of Biological Systems." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35395.

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The duality between biological systems and engineering systems exists in the pursuit of economical and efficient solutions. By adapting biological design principles, nature’s technology can be harnessed. In this paper, we present a systematic method for reverse engineering biological systems to assist the designer in searching for solutions in nature to current engineering problems. Specifically, we present methods for decomposing the physical and functional biological architectures, representing dynamic functions, and abstracting biological design principles to guide conceptual design. We illustrate this method with an example of the design of a variable stiffness skin for a morphable airplane wing based on the mutable connective tissue of the sea cucumber.
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Vattam, Swaroop S., Michael Helms, and Ashok K. Goel. "Biologically Inspired Design: A Macrocognitive Account." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28567.

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Biologically inspired engineering design is an approach to design that espouses the adaptation of functions and mechanisms in biological sciences to solve engineering design problems. We have conducted an in situ study of designers engaged in biologically inspired design. Based on this study we develop here a macrocognitive information-processing model of biologically inspired design. We also compare and contrast the model with other information-processing models of analogical design such as TRIZ, case-based design, and design patterns.
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Reports on the topic "Biological engineering design"

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Montemagno, C. D., and R. L. Irvine. Biological remediation of contaminated soils at Los Angeles Air Force Base: Facility design and engineering cost estimate. Office of Scientific and Technical Information (OSTI), August 1990. http://dx.doi.org/10.2172/6219602.

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Shmulevich, Itzhak, Shrini Upadhyaya, Dror Rubinstein, Zvika Asaf, and Jeffrey P. Mitchell. Developing Simulation Tool for the Prediction of Cohesive Behavior Agricultural Materials Using Discrete Element Modeling. United States Department of Agriculture, October 2011. http://dx.doi.org/10.32747/2011.7697108.bard.

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The underlying similarity between soils, grains, fertilizers, concentrated animal feed, pellets, and mixtures is that they are all granular materials used in agriculture. Modeling such materials is a complex process due to the spatial variability of such media, the origin of the material (natural or biological), the nonlinearity of these materials, the contact phenomenon and flow that occur at the interface zone and between these granular materials, as well as the dynamic effect of the interaction process. The lack of a tool for studying such materials has limited the understanding of the phenomena relevant to them, which in turn has led to energy loss and poor quality products. The objective of this study was to develop a reliable prediction simulation tool for cohesive agricultural particle materials using Discrete Element Modeling (DEM). The specific objectives of this study were (1) to develop and verify a 3D cohesionless agricultural soil-tillage tool interaction model that enables the prediction of displacement and flow in the soil media, as well as forces acting on various tillage tools, using the discrete element method; (2) to develop a micro model for the DEM formulation by creating a cohesive contact model based on liquid bridge forces for various agriculture materials; (3) to extend the model to include both plastic and cohesive behavior of various materials, such as grain and soil structures (e.g., compaction level), textures (e.g., clay, loam, several grains), and moisture contents; (4) to develop a method to obtain the parameters for the cohesion contact model to represent specific materials. A DEM model was developed that can represent both plastic and cohesive behavior of soil. Soil cohesive behavior was achieved by considering tensile force between elements. The developed DEM model well represented the effect of wedge shape on soil behavior and reaction force. Laboratory test results showed that wedge penetration resistance in highly compacted soil was two times greater than that in low compacted soil, whereas DEM simulation with parameters obtained from the test of low compacted soil could not simply be extended to that of high compacted soil. The modified model took into account soil failure strength that could be changed with soil compaction. A three dimensional representation composed of normal displacement, shear failure strength and tensile failure strength was proposed to design mechanical properties between elements. The model based on the liquid bridge theory. An inter particle tension force measurement tool was developed and calibrated A comprehensive study of the parameters of the contact model for the DEM taking into account the cohesive/water-bridge was performed on various agricultural grains using this measurement tool. The modified DEM model was compared and validated against the test results. With the newly developed model and procedure for determination of DEM parameters, we could reproduce the high compacted soil behavior and reaction forces both qualitatively and quantitatively for the soil conditions and wedge shapes used in this study. Moreover, the effect of wedge shape on soil behavior and reaction force was well represented with the same parameters. During the research we made use of the commercial PFC3D to analyze soil tillage implements. An investigation was made of three different head drillers. A comparison of three commonly used soil tillage systems was completed, such as moldboard plow, disc plow and chisel plow. It can be concluded that the soil condition after plowing by the specific implement can be predicted by the DEM model. The chisel plow is the most economic tool for increasing soil porosity. The moldboard is the best tool for soil manipulation. It can be concluded that the discrete element simulation can be used as a reliable engineering tool for soil-implement interaction quantitatively and qualitatively.
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Microbiology in the 21st Century: Where Are We and Where Are We Going? American Society for Microbiology, 2004. http://dx.doi.org/10.1128/aamcol.5sept.2003.

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The American Academy of Microbiology convened a colloquium September 5–7, 2003, in Charleston, South Carolina to discuss the central importance of microbes to life on earth, directions microbiology research will take in the 21st century, and ways to foster public literacy in this important field. Discussions centered on: the impact of microbes on the health of the planet and its inhabitants; the fundamental significance of microbiology to the study of all life forms; research challenges faced by microbiologists and the barriers to meeting those challenges; the need to integrate microbiology into school and university curricula; and public microbial literacy. This is an exciting time for microbiology. We are becoming increasingly aware that microbes are the basis of the biosphere. They are the ancestors of all living things and the support system for all other forms of life. Paradoxically, certain microbes pose a threat to human health and to the health of plants and animals. As the foundation of the biosphere and major determinants of human health, microbes claim a primary, fundamental role in life on earth. Hence, the study of microbes is pivotal to the study of all living things, and microbiology is essential for the study and understanding of all life on this planet. Microbiology research is changing rapidly. The field has been impacted by events that shape public perceptions of microbes, such as the emergence of globally significant diseases, threats of bioterrorism, increasing failure of formerly effective antibiotics and therapies to treat microbial diseases, and events that contaminate food on a large scale. Microbial research is taking advantage of the technological advancements that have opened new fields of inquiry, particularly in genomics. Basic areas of biological complexity, such as infectious diseases and the engineering of designer microbes for the benefit of society, are especially ripe areas for significant advancement. Overall, emphasis has increased in recent years on the evolution and ecology of microorganisms. Studies are focusing on the linkages between microbes and their phylogenetic origins and between microbes and their habitats. Increasingly, researchers are striving to join together the results of their work, moving to an integration of biological phenomena at all levels. While many areas of the microbiological sciences are ripe for exploration, microbiology must overcome a number of technological hurdles before it can fully accomplish its potential. We are at a unique time when the confluence of technological advances and the explosion of knowledge of microbial diversity will enable significant advances in microbiology, and in biology in general, over the next decade. To make the best progress, microbiology must reach across traditional departmental boundaries and integrate the expertise of scientists in other disciplines. Microbiologists are becoming increasingly aware of the need to harness the vast computing power available and apply it to better advantage in research. Current methods for curating research materials and data should be rethought and revamped. Finally, new facilities should be developed to house powerful research equipment and make it available, on a regional basis, to scientists who might otherwise lack access to the expensive tools of modern biology. It is not enough to accomplish cutting-edge research. We must also educate the children and college students of today, as they will be the researchers of tomorrow. Since microbiology provides exceptional teaching tools and is of pivotal importance to understanding biology, science education in schools should be refocused to include microbiology lessons and lab exercises. At the undergraduate level, a thorough knowledge of microbiology should be made a part of the core curriculum for life science majors. Since issues that deal with microbes have a direct bearing on the human condition, it is critical that the public-at-large become better grounded in the basics of microbiology. Public literacy campaigns must identify the issues to be conveyed and the best avenues for communicating those messages. Decision-makers at federal, state, local, and community levels should be made more aware of the ways that microbiology impacts human life and the ways school curricula could be improved to include valuable lessons in microbial science.
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