Journal articles: 'Tailoring optimization'

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Biegler, Lorenz T. "Tailoring optimization algorithms to process applications." Computers & Chemical Engineering 16 (May 1992): S81—S95. http://dx.doi.org/10.1016/s0098-1354(09)80011-2.

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Sadagopan, D., and R. Pitchumani. "A Combinatorial Optimization Approach to Composite Materials Tailoring." Journal of Mechanical Design 119, no. 4 (December 1, 1997): 494–503. http://dx.doi.org/10.1115/1.2826395.

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Composite materials offer designers the advantage of tailoring structures and materials to meet a variety of property and performance requirements in changing and demanding environments. However, the wide variety of material combinations, reinforcement geometries and architectures to choose from poses a bewildering problem of selection. Thus an appropriate, and furthermore optimal, tailoring of composite materials for applications is a challenging design problem and forms the focus of the article. Specifically, the present work addresses the problem of selecting optimal combinations of matrix and reinforcement materials, and reinforcement morphology, architecture, and volume fraction so as to meet the specified property and performance requirements. The optimal tailoring problem is solved using the combinatorial optimization technique of simulated annealing which works in conjunction with a property model base consisting of analytical relationships between the composite properties and the microstructure. The matrix materials considered in the study span the material classes of polymers, metals and ceramics while reinforcement geometries of unidirectional fibers, particulates and two-dimensional woven fabrics are considered. The overall approach and key results of the study are presented and discussed.

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De Leon, D. M., C. E. de Souza, J. S. O. Fonseca, and R. G. A. da Silva. "Aeroelastic tailoring using fiber orientation and topology optimization." Structural and Multidisciplinary Optimization 46, no. 5 (April 3, 2012): 663–77. http://dx.doi.org/10.1007/s00158-012-0790-8.

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Chattopadhyay, Aditi, Charles E. Seeley, and Ratneshwar Jha. "Aeroelastic tailoring using piezoelectric actuation and hybrid optimization." Smart Materials and Structures 8, no. 1 (January 1, 1999): 83–91. http://dx.doi.org/10.1088/0964-1726/8/1/009.

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ALTIMARI, PIETRO, ERASMO MANCUSI, MARIO DI BERNARDO, LUCIA RUSSO, and SILVESTRO CRESCITELLI. "TAILORING THE BIFURCATION DIAGRAM OF NONLINEAR DYNAMICAL SYSTEMS: AN OPTIMIZATION BASED APPROACH." International Journal of Bifurcation and Chaos 20, no. 04 (April 2010): 1027–40. http://dx.doi.org/10.1142/s0218127410026290.

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Bifurcation tailoring is a method developed to design control laws modifying the bifurcation diagram of a nonlinear dynamical system to a desired one. In its original formulation, this method does not account for the possible presence of constraints on state and/or manipulated inputs. In this paper, a novel formulation of the bifurcation tailoring method overcoming this limitation is presented. In accordance with the proposed approach, a feedforward control law generating an optimal bifurcation diagram is computed by constrained minimization of an objective functional. Then, a feedback control system enforcing stability of the computed equilibrium branch is designed. In this context, bifurcation analysis is exploited to select feedback controller parameters ensuring desired output behavior and, at the same time, preventing the occurrence of multistability. The method is numerically validated on the problem of tailoring the bifurcation diagram of an exothermic chemical reactor.

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ABELS, ARTUR, and MAARJA KRUUSMAA. "SHAPE CONTROL OF AN ANTHROPOMORPHIC TAILORING ROBOT MANNEQUIN." International Journal of Humanoid Robotics 10, no. 02 (June 2013): 1350002. http://dx.doi.org/10.1142/s0219843613500023.

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In this paper, we describe a new type of humanoid robot designed for made-to-measure garment industry — a shape-changing robotic mannequin. This mannequin is designed to imitate body shapes of different people. The main emphasis of this paper is on modeling and shape-optimization algorithm used to adjust mannequins shape to resemble the shape of any given person. We represent the whole procedure of adjusting the mannequin to the body shapes of real people. Finally, we provide the estimate of the mannequin's model precision and suitability of the proposed solutions for made-to-measure tailoring application. The results show that the mannequin and the optimization methods are sufficiently precise for the requirements in tailoring industry.

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Kapoor, PoonamM, Rohan Magoon, Arindam Choudhury, and Ameya Karanjkar. "An individualized hemodynamic optimization: Tailoring the targets of therapy." Journal of Anaesthesiology Clinical Pharmacology 36, no. 2 (2020): 274. http://dx.doi.org/10.4103/joacp.joacp_299_19.

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Cheng, Wen Yuan, De Gang Cui, Yan Chang, and Xiang Hui Xie. "Composite Structure Optimization Design System Based on Grid Technology." Key Engineering Materials 334-335 (March 2007): 453–56. http://dx.doi.org/10.4028/www.scientific.net/kem.334-335.453.

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In the traditional iterative design process for composite structures, it is difficult to achieve an optimal solution even though a great effort is made. A genetic optimization system based on grid technology offers an automatic and efficient approach for composite structure redesign and optimization. A genetic algorithm system, which integrates Genetic Algorithm Optimization (GAO) software and a Finite Element Analysis (FEA) based commercial package, has been developed as a tool for composite structure design and analysis. The GAO is capable of tailoring large number of composite design variables and taking the time-consuming FEA results to calculate objective function value and conduct optimization in high accuracy. By operating the system employing the Grid technology and Artificial Neural Network (ANN) method, significant time saving in numerical analysis can be achieved. A user friendly interface has also been built in the system. In the paper, aeroelastic tailoring of a composite wing has been taken as a numerical example to demonstrate the optimization approach. The numerical results show that an optimal design has been achieved to meet the design requirement.

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Rongrong, Xue, Ye Zhengyin, Ye Kun, and Wang Gang. "Composite material structure optimization design and aeroelastic analysis on forward swept wing." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 13 (November 2, 2018): 4679–95. http://dx.doi.org/10.1177/0954410018807810.

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The static aeroelastic torsion divergence problem is the main obstacle to bring forward swept wing into massive applications. The aeroelastic tailoring technique-based radial basis function neural networks (RBFNNs) and genetic algorithm (GA) optimization in MATLAB considering the material orientation, thickness, and lay-up are elucidated in the present work. RBFNNs are used to build a surrogate model between the composite parameters and structure displacement, which is proved robust and accurate. Then an optimal structure is obtained by GA global search based on RBFNNs model with the weight constrain. The displacements of the forward swept wing caused by an approximate aerodynamic load are decreased 32.5% through finite element method (FEM) static structural analysis. The modal analysis illustrates that the first mode frequency increases by 33.0% and the second mode increases by 37.9%. A computational aeroelasticity approach is developed by in-house Hybrid Unstructured Reynolds-Averaged Navier-Stokes solver associating an open source FEM code – Calculix. The results of coupling calculations show effectiveness of aeroelastic tailoring optimization of composite forward swept wing without weight penalty. The results obtained demonstrate that for the forward swept wing, the most violent situation appears around Mach Number 1.0 where the aeroelastic tailoring optimization could decrease the torsion angle by nearly 70.0%. The torsion of forward swept wing will increase at subsonic and decrease at supersonic with the increase of velocity.

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Abdullah, Nur Azam, and Erwin Sulaeman. "Aeroelastic Tailoring of Oscillating Supersonic Wing with External Stores." Applied Mechanics and Materials 464 (November 2013): 110–15. http://dx.doi.org/10.4028/www.scientific.net/amm.464.110.

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This paper presents aeroelastic tailoring optimization of a swept back supersonic wing with external stores using composite structure material for the wing skin. The analysis has been conducted to calculate the flutter speeds at several altitudes ranging from a negative altitude of-7,943 ft until 30000 ft. MSC Nastran software is used to determine the flutter speed. The objective is to get the lowest possible wing weight by varying the wing skin composite fly angle and thickness as the optimization variables and by considering flutter speed as the optimization constraint. The constraint is imposed such that the flutter speed should be similar or higher than flutter speed of a previously investigated supersonic wing having similar planform but using aluminum as wing skin. The use of composite suggested that each composite layer thickness and fiber angle can be manipulated to achieve the target. The present results indicate that the weight of the composite wing skin can be reduced by 70 % compared to the aluminum wing skin while retaining similar or better flutter speed boundary envelope.

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Arredondo-Soto, Mauricio, Enrique Cuan-Urquizo, and Alfonso Gómez-Espinosa. "A Review on Tailoring Stiffness in Compliant Systems, via Removing Material: Cellular Materials and Topology Optimization." Applied Sciences 11, no. 8 (April 15, 2021): 3538. http://dx.doi.org/10.3390/app11083538.

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Cellular Materials and Topology Optimization use a structured distribution of material to achieve specific mechanical properties. The controlled distribution of material often leads to several advantages including the customization of the resulting mechanical properties; this can be achieved following these two approaches. In this work, a review of these two as approaches used with compliance purposes applied at flexure level is presented. The related literature is assessed with the aim of clarifying how they can be used in tailoring stiffness of flexure elements. Basic concepts needed to understand the fundamental process of each approach are presented. Further, tailoring stiffness is described as an evolutionary process used in compliance applications. Additionally, works that used these approaches to tailor stiffness of flexure elements are described and categorized. Finally, concluding remarks and recommendations to further extend the study of these two approaches in tailoring the stiffness of flexure elements are discussed.

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Zhang, Li Guo, Kang Yang, Wei Ping Zhao, and Song Xiang. "Tailoring the Fundamental Frequency of Laminated Composite Panels Using Material Properties." Applied Mechanics and Materials 709 (December 2014): 157–61. http://dx.doi.org/10.4028/www.scientific.net/amm.709.157.

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Optimization of material properties is performed to maximize the fundamental frequency of the laminated composite panels by means of the genetic algorithm. The global radial basis function collocation method is used to calculate the fundamental frequency of clamped laminated composite panels. In this paper, the objective function of optimization problem is the maximum fundamental frequency; optimization variables are material properties of laminated panels. The results for the optimal material properties and the maximum fundamental frequencies of the 2-layer plates are presented to verify the validity of present method.

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Jin, Peng, Bi Feng Song, and Xiao Ping Zhong. "Aeroelastic Tailoring of Blended Composite Panels with Lamination Parameters." Applied Mechanics and Materials 401-403 (September 2013): 571–77. http://dx.doi.org/10.4028/www.scientific.net/amm.401-403.571.

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An optimization method for blended composite panels with aeroelastic constraint is presented in this paper. On the basis of composite panel sub-region division, the lamination parameters of a guide laminate and length indicator of each ply of the guide laminate are introduced as design variables using parallel genetic algorithm (GA) for optimization. For each individual, the inverse problem of obtaining laminate configuration to target the lamination parameters is solved by another GA. The method of defining design variables can reduce the number of design variables obviously compared with previous work. And the numerical results indicate that the present method is capable of producing fully blended designs of composite wing with aeroelastic performance improvement and weight reduction.

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Stodieck, O., J. E. Cooper, P. M. Weaver, and P. Kealy. "Optimization of Tow-Steered Composite Wing Laminates for Aeroelastic Tailoring." AIAA Journal 53, no. 8 (August 2015): 2203–15. http://dx.doi.org/10.2514/1.j053599.

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Qian, Rui, and Yuan Zhi Bi. "Strain-Hardening Polyvinyl Alcohol Fiber Cement Optimization and Component Tailoring." Advanced Materials Research 940 (June 2014): 16–19. http://dx.doi.org/10.4028/www.scientific.net/amr.940.16.

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Study on the effect of liquefaction mechanism on the performance of ECC, adding rubber powder mesh size effect on the performance of ECC, respectively, to 40 mesh, 60 mesh, 80 mesh and 100 orders at the same content of rubber powder and 40 mesh in different dosage on ECC compressive strength, flexural toughness was analyzed, results show that: the use of the mechanism of liquefaction of mixing rubber powder in cement based materials, with the increase of ECC number increased ductility, at the same time reduce the compressive strength is larger, rubber powder content in 12%, the comprehensive effect is ideal. The needle for fiber reinforced cement based materials and meticulous research component, has broad prospects in the repair of future building early warning and lane.

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Guy, D., B. Lestriez, R. Bouchet, V. Gaudefroy, and D. Guyomard. "Tailoring the Binder of Composite Electrode for Battery Performance Optimization." Electrochemical and Solid-State Letters 8, no. 1 (2005): A17. http://dx.doi.org/10.1149/1.1828344.

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Oliva, E., Ph Zeitoun, S. Sebban, M. Fajardo, P. Velarde, K. Cassou, and D. Ros. "Optimization of soft x-ray amplifier by tailoring plasma hydrodynamics." Optics Letters 34, no. 17 (August 25, 2009): 2640. http://dx.doi.org/10.1364/ol.34.002640.

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Guo, Shijun, Wenyuan Cheng, and Degang Cui. "Aeroelastic Tailoring of Composite Wing Structures by Laminate Layup Optimization." AIAA Journal 44, no. 12 (December 2006): 3146–50. http://dx.doi.org/10.2514/1.20166.

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Li, Lily L., Pavel M. Polunin, Suguang Dou, Oriel Shoshani, B. Scott Strachan, Jakob S. Jensen, Steven W. Shaw, and Kimberly L. Turner. "Tailoring the nonlinear response of MEMS resonators using shape optimization." Applied Physics Letters 110, no. 8 (February 20, 2017): 081902. http://dx.doi.org/10.1063/1.4976749.

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Stainko, R., and O. Sigmund. "Tailoring dispersion properties of photonic crystal waveguides by topology optimization." Waves in Random and Complex Media 17, no. 4 (October 18, 2007): 477–89. http://dx.doi.org/10.1080/17455030701501851.

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Cho, J. R., and H. J. Kim. "Optimal Tailoring of CNT Distribution in Functionally Graded Porous CNTRC Beams." Polymers 15, no. 2 (January 9, 2023): 349. http://dx.doi.org/10.3390/polym15020349.

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This paper is concerned with the multi-objective optimization of thickness-wise CNT distribution in functionally graded porous CNT-reinforced composite (FG-porous CNTRC) beams. The mechanical behaviors of FG-porous CNTRC structures are strongly influenced by the thickness-wise distributions of CNTs and porosity. Nevertheless, several linear functions were simply adopted to represent the thickness-wise CNT distribution without considering the porosity distribution, so these assumed linear primitive CNT distribution patterns are not sufficient to respond to arbitrary loading and boundary conditions. In this context, this study presents the multi-objective optimization of thickness-wise CNT distribution in FG-CNTRC porous beams to simultaneously minimize the peak effective stress and the peak deflection. The multi-objective function is defined by the larger value between two normalized quantities and the design variable vector is composed of the layer-wise CNT volume fractions. The constrained multi-objective optimization problem is formulated by making use of the exterior penalty-function method and the aspiration-level adjustment. The proposed optimization method is demonstrated through the numerical experiments, and the optimization solutions are investigated with respect to the porosity distribution and the combination of aspiration levels for two single-objective functions. It is found from the numerical results that the optimum CNT distribution is significantly affected by the porosity distribution. Furthermore, the proposed method can be successfully used to seek an optimum CNT distribution within FG-porous CNTRC structures which simultaneously enhances the multi-objective functions.

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Serhat, Gokhan. "Concurrent Lamination and Tapering Optimization of Cantilever Composite Plates under Shear." Materials 14, no. 9 (April 28, 2021): 2285. http://dx.doi.org/10.3390/ma14092285.

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The operational performance of cantilever composite structures can benefit from both stiffness tailoring and geometric design, yet, this potential has not been fully utilized in existing studies. The present study addresses this problem by simultaneously optimizing layer and taper angles of cantilever laminates. The design objective is selected as minimizing the average deflection of the tip edge subjected to shear loads while keeping the length and total volume constant. The plate stiffness properties are described by lamination parameters to eliminate the possible solution dependency on the initial assumptions regarding laminate configuration. The responses are computed via finite element analyses, while optimal design variables are determined using genetic algorithms. The results demonstrate that the plate aspect ratio significantly influences the effectiveness of stiffness tailoring and tapering as well as the optimal layer and taper angles. In addition, concurrent exploitation of the lamination characteristics and plate geometry is shown to be essential for achieving maximum performance. Moreover, individual and simultaneous optimization of layer and taper angles produce different optimal results, indicating the possible drawback of using sequential approaches in similar composite design problems.

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Yu, Yang, Zhengjie Wang, and Shijun Guo. "Efficient Method for Aeroelastic Tailoring of Composite Wing to Minimize Gust Response." International Journal of Aerospace Engineering 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/1592527.

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Aeroelastic tailoring of laminated composite structure demands relatively high computational time especially for dynamic problem. This paper presents an efficient method for aeroelastic dynamic response analysis with significantly reduced computational time. In this method, a relationship is established between the maximum aeroelastic response and quasi-steady deflection of a wing subject to a dynamic loading. Based on this relationship, the time consuming dynamic response can be approximated by a quasi-steady deflection analysis in a large proportion of the optimization process. This method has been applied to the aeroelastic tailoring of a composite wing of a tailless aircraft for minimum gust response. The results have shown that 20%–36% gust response reduction has been achieved for this case. The computational time of the optimization process has been reduced by 90% at the cost of accuracy reduction of 2~4% comparing with the traditional dynamic response analysis.

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Vela, Alonso, Jorge M. Cruz-Duarte, Jose Carlos Ortiz-Bayliss, and Ivan Amaya. "Tailoring Job Shop Scheduling Problem Instances Through Unified Particle Swarm Optimization." IEEE Access 9 (2021): 66891–914. http://dx.doi.org/10.1109/access.2021.3076426.

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Moravcikova-Gouvea, Larissa, Igor Moravcik, Vaclav Pouchly, Zuzana Kovacova, Michael Kitzmantel, Erich Neubauer, and Ivo Dlouhy. "Tailoring a Refractory High Entropy Alloy by Powder Metallurgy Process Optimization." Materials 14, no. 19 (October 3, 2021): 5796. http://dx.doi.org/10.3390/ma14195796.

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This paper reports the microstructural evolution and mechanical properties of a low-density Al0.3NbTa0.8Ti1.5V0.2Zr refractory high-entropy alloy (RHEA) prepared by means of a combination of mechanical alloying and spark plasma sintering (SPS). Prior to sintering, the morphology, chemical homogeneity and crystal structures of the powders were thoroughly investigated by varying the milling times to find optimal conditions for densification. The sintered bulk RHEAs were produced with diverse feedstock powder conditions. The microstructural development of the materials was analyzed in terms of phase composition and constitution, chemical homogeneity, and crystallographic properties. Hardness and elastic constants also were measured. The calculation of phase diagrams (CALPHAD) was performed to predict the phase changes in the alloy, and the results were compared with the experiments. Milling time seems to play a significant role in the contamination level of the sintered materials. Even though a protective atmosphere was used in the entire manufacturing process, carbide formation was detected in the sintered bulks as early as after 3 h of powder milling. Oxides were observed after 30 h due to wear of the high-carbon steel milling media and SPS consolidation. Ten hours of milling seems sufficient for achieving an optimal equilibrium between microstructural homogeneity and refinement, high hardness and minimal contamination.

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Kodiyalam, Srinivas, V. N. Parthasarathy, Michael S. Hartle, and Richard L. McKnight. "Ply layup optimization and micromechanics tailoring of composite aircraft engine structures." Journal of Propulsion and Power 10, no. 6 (November 1994): 897–905. http://dx.doi.org/10.2514/3.23829.

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Waisman, E. M., D. B. Reisman, B. S. Stoltzfus, W. A. Stygar, M. E. Cuneo, T. A. Haill, J. P. Davis, J. L. Brown, C. T. Seagle, and R. B. Spielman. "Optimization of current waveform tailoring for magnetically driven isentropic compression experiments." Review of Scientific Instruments 87, no. 6 (June 2016): 063906. http://dx.doi.org/10.1063/1.4954173.

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Sigmund, Ole. "Topology optimization: a tool for the tailoring of structures and materials." Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences 358, no. 1765 (January 15, 2000): 211–27. http://dx.doi.org/10.1098/rsta.2000.0528.

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Liaghat, F., MR Hematiyan, and A. Khosravifard. "Material tailoring in functionally graded rods under torsion." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 228, no. 18 (March 31, 2014): 3283–95. http://dx.doi.org/10.1177/0954406214529557.

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Material tailoring in functionally graded isotropic hollow rods of arbitrary cross section under torsion is studied. The purposes of material tailoring pursued in this paper are divided into two categories. In the first category, we find the variation of the volume fractions of constituents of a functionally graded member under torsion to obtain an appropriate distribution of shear stress over the cross section. In the second category, the torsional rigidity of a rod with a pre-defined mass is maximized by appropriate determination of the variation of constituents of the functionally graded material. Hollow rods are studied in this paper since they have higher torsional rigidity compared to solid members with the same mass. Meshless numerical methods are used for torsional analysis of the cross sections. Moreover, numerical optimization methods are used for material tailoring of the rods. Several examples with different cross sections are presented to investigate the usefulness of the proposed technique on achieving the mentioned purposes.

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GADRE, SHRIDHAR R., and V. GANESH. "MOLECULAR TAILORING APPROACH: TOWARDS PC-BASED AB INITIO TREATMENT OF LARGE MOLECULES." Journal of Theoretical and Computational Chemistry 05, no. 04 (December 2006): 835–55. http://dx.doi.org/10.1142/s021963360600260x.

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The development of a fragmentation-based scheme, viz. molecular tailoring approach (MTA) for ab initio computation of one-electron properties and geometry optimization is described. One-electron properties such as the molecular electrostatic potential (MESP), molecular electron density (MED), and dipole moments are computed by synthesizing the density matrix (DM) of the parent molecule from DMs of its small overlapping fragments. The electron density obtained via MTA was found to be typically within 0.5% of its actual counterpart, while maximum errors of about 2% were noticed in the case of the dipole moment and MESP distribution. An attempt is made to develop MTA-based geometry optimization that involves picking relevant energy gradients from fragment self-consistent field (SCF) calculations, bypassing the CPU and memory extensive SCF step of the complete molecule. This is based on the observation that the MTA gradients mimic the actual ones fairly well. As the calculations on individual fragments are mutually independent, this algorithm is amenable to large-scale parallelization and has been extended to a distributed setup of PCs. The code developed is put to test on γ-cyclodextrin, taxol, and a small albumin-binding protein (1prb) for one-electron properties. Further, molecules such as γ-cyclodextrin, taxol, a silicalite, and 1prb are subjected to MTA-based geometry optimization, on a PC cluster. The results indicate a favorable speedup of two to three times over the actual computations in the initial phase of optimization. Furthermore, it enables computations otherwise not possible on a PC. Preliminary results indicate similar savings with sustained accuracy even for large molecules at the level of Møller–Plesset second order perturbation (MP2) theory.

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Krüger, Wolf R., Yasser M. Meddaikar, Johannes K. S. Dillinger, Jurij Sodja, and Roeland De Breuker. "Application of Aeroelastic Tailoring for Load Alleviation on a Flying Demonstrator Wing." Aerospace 9, no. 10 (September 21, 2022): 535. http://dx.doi.org/10.3390/aerospace9100535.

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This article presents the application of aeroelastic tailoring in the design of wings for a flying demonstrator, as well as the validation of the design methodology with flight test results. The investigations were performed in the FLEXOP project (Flutter Free Flight Envelope Expansion for Economical Performance Improvement), funded under the Horizon 2020 framework. This project aimed at the validation of methods and tools for active flutter control, as well as at the demonstration of the potential of passive load alleviation through composite tailoring. The technologies were to be demonstrated by the design, manufacturing and flight testing of an unmanned aerial vehicle of approximately 7 m wingspan. This article addresses the work towards the load alleviation goals. The design of the primary load-carrying wing-box in this task is performed using a joint DLR–TU Delft optimization strategy. Two sets of wings are designed in order to demonstrate the potential benefits of aeroelastic tailoring—first, a reference wing in which the laminates of the wing-box members are restricted to balanced and symmetric laminates; second, a tailored wing in which the laminates are allowed to be unbalanced, hence allowing for the shear–extension and bending–torsion couplings essential for aeroelastic tailoring. Both designs are numerically optimized, then manufactured and extensively tested to validate and improve the simulation models corresponding to the wing designs. Flight tests are performed, the results of which form the basis for the validation of the applied aeroelastic tailoring approach presented in the article.

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Franco, Francesco, Kenneth A. Cunefare, and Massimo Ruzzene. "Structural-Acoustic Optimization of Sandwich Panels." Journal of Vibration and Acoustics 129, no. 3 (October 5, 2006): 330–40. http://dx.doi.org/10.1115/1.2731410.

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Sandwich panels comprising face sheets enclosing a core are increasingly common structural elements in a variety of applications, including aircraft fuselages, flight surfaces, vehicle panels, lightweight enclosures, and bulkheads. This paper presents the optimization of various innovative sandwich configurations for minimization of their structural-acoustic response. Laminated face sheets and core geometries comprising honeycomb and trusslike structures are considered. The design flexibility associated with the class of considered composite structures and with truss-core configurations provides the opportunity of tailoring the structure to the load and dynamic response requirements of a particular application. The results demonstrate how the proper selection of selected key parameters can achieve effective reduction of the radiated sound power and how the identified optimal configurations can achieve noise reduction over different frequency ranges and for various source configurations.

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Fu, Boyan, Tianyue Li, Xiujuan Zou, Jianzheng Ren, Quan Yuan, Shuming Wang, Xun Cao, Zhenlin Wang, and Shining Zhu. "Steerable chromatic dispersive metalenses in dual bands." Journal of Physics D: Applied Physics 55, no. 25 (April 1, 2022): 255105. http://dx.doi.org/10.1088/1361-6463/ac59fb.

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Abstract As a promising flat optical element, metasurfaces possess the powerful ability to manipulate chromatic dispersion, resulting in achromatic imaging, ultracompact spectrometers, and wavelength-dependent multifunctional nano-devices. However, conventional chromatic metalenses are incapable of arbitrarily tailoring dispersion within different bandwidths. Here, with a supercell composed of two nanostructures, we can arbitrarily control the chromatic dispersion of the metalens by using the phase differential equation and genetic optimization. We design three metalenses to verify the simultaneous tailoring of different chromatic dispersions in dual bands, which exhibits stronger chromatic dispersion manipulation capability compared with a single-structure-cell-based metalens. Our approach paves a new way for dispersion engineering of metalenses with potential applications in spectral imaging and material analysis.

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Cho, J. R., and H. J. Kim. "Numerical Optimization of CNT Distribution in Functionally Graded CNT-Reinforced Composite Beams." Polymers 14, no. 20 (October 19, 2022): 4418. http://dx.doi.org/10.3390/polym14204418.

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This paper is concerned with the numerical optimization of the thickness-wise CNT (carbon nanotube) distribution in functionally graded CNT-reinforced composite (FG-CNTRC) beams to secure the structural safety. The FG-CNTRC in which CNTs are inserted according to the specific thickness-wise distribution pattern are extensively investigated for high-performance engineering applications. The mechanical behaviors of FG-CNTRC structures are definitely affected by the distribution pattern of CNTs through the thickness. Hence, the tailoring of suitable CNT distribution pattern is an essential subject in the design of FG-CNTRC structure for a given boundary and loading conditions. Nevertheless, the thickness-wise CNT distribution pattern has been assumed by several linear functions so that these assumed primitive patterns cannot appropriately respond to arbitrary loading and boundary conditions. In this context, this paper aims to introduce a numerical method for optimally tailoring the CNT distribution pattern of FG-CNTRC beams. As a preliminary stage, the effective stress is defined as the objective function and the layer-wise CNT volume fractions are chosen as the design variables. The exterior penalty-function method and golden section method are adopted for the optimization formulation, together with finite difference scheme for the design sensitivity analysis. The proposed optimization method is illustrated and validated through the benchmark experiments, such that it successfully provides an optimum CNT distribution which can significantly minimize the effective stress, with a stable and rapid convergence in the iterative optimization process.

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Chattopadhyay, Aditi, Thomas R. McCarthy, and Charles E. Seeley. "Decomposition-based optimization procedure for high-speed prop-rotors using composite tailoring." Journal of Aircraft 32, no. 5 (September 1995): 1026–33. http://dx.doi.org/10.2514/3.46832.

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Stanford, Bret K., Christine V. Jutte, and Carol D. Wieseman. "Trim and Structural Optimization of Subsonic Transport Wings Using Nonconventional Aeroelastic Tailoring." AIAA Journal 54, no. 1 (January 2016): 293–309. http://dx.doi.org/10.2514/1.j054244.

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Rubio, Wilfredo Montealegre, Glaucio H. Paulino, and Emilio Carlos Nelli Silva. "Tailoring vibration mode shapes using topology optimization and functionally graded material concepts." Smart Materials and Structures 20, no. 2 (January 13, 2011): 025009. http://dx.doi.org/10.1088/0964-1726/20/2/025009.

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Karandikar, H. M., and F. Mistree. "Tailoring Composite Materials Through Optimal Selection of Their Constituents." Journal of Mechanical Design 114, no. 3 (September 1, 1992): 451–58. http://dx.doi.org/10.1115/1.2926573.

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The use of composite materials has provided designers with increased opportunities for tailoring structures and materials to meet load requirements and changing and demanding environments. This has led to their increased use in structural applications. As with traditional materials the selection of an appropriate material for a design is important. In case of design using composite materials the selection of a material consists of selecting a fiber-resin combination which meets all design requirements. This involves choosing the fiber, the resin, and the proportion of these two constituents in the composite material. The phrase “material selection” refers to the problem of laminate selection. This corresponds to the task of choosing a fiber and resin combination based on technical and economic factors. Materials tailoring, on the other hand, involves manipulating the composition of the composite material to achieve desired properties and it is the selection of a fiber and resin simultaneously but separately. In this paper we present, through an example, a multiobjective optimization-based method for assisting a designer in tailoring composite materials for specific technical and economic objectives.

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Zhang, Xiuling, Zhongbo Hu, Xiaoling Xiao, Limei Sun, Songbai Han, Dongfeng Chen, and Xiangfeng Liu. "Fe3O4@porous carbon hybrid as the anode material for a lithium-ion battery: performance optimization by composition and microstructure tailoring." New Journal of Chemistry 39, no. 5 (2015): 3435–43. http://dx.doi.org/10.1039/c5nj00032g.

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Jiao, Kejia, Xueliang Wang, Yu Wang, and Yunfa Chen. "Graphene oxide as an effective interfacial layer for enhanced graphene/silicon solar cell performance." J. Mater. Chem. C 2, no. 37 (2014): 7715–21. http://dx.doi.org/10.1039/c4tc00705k.

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Interface tailoring is an effective approach towards high performance Graphene/Silicon Schottky-barrier solar cells. Inserting a thin graphene oxide (GO) interfacial layer can improve the efficiency of graphene/silicon solar cells by >100%. Further performance optimization leads to 12.3% of power conversion efficiency (PCE). To date, a record PCE has been achieved on the same device level.

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Xu, An Ping, Y. S. Liu, H. Wang, Y. Liu, and Y. N. Fu. "Topology Tailoring Method of TWB Autobody Parts Based on HyperWorks." Materials Science Forum 697-698 (September 2011): 631–35. http://dx.doi.org/10.4028/www.scientific.net/msf.697-698.631.

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In the paper, a lightweight design method for tailor-welded blanks (TWBs), termed as Topology Tailoring Method (TTM), is proposed, which is based on topology optimization philosophy and in which the variable density method is employed so as to reach the goal of the smallest structure strain energy. By using this method, a TWB autodoor subjected to a specific working condition is topologically optimized in HyperWorks, thus obtaining the more lightweight autodoor. At last, a side impact simulation of the autodoor is demonstrated, thus showing the effectiveness of the method.

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Jin, Peng, Qihao Zheng, and Wei Wei. "Thermal Aeroelastic Tailoring for Laminated Panel with Lamination Parameters and JAYA Algorithm." International Journal of Aerospace Engineering 2022 (March 12, 2022): 1–18. http://dx.doi.org/10.1155/2022/5201514.

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This work investigates thermal aeroelastic tailoring of a laminated composite panel with a lamination parameter-based method. Equivalent membrane and bending coefficients of thermal expansions for symmetric laminated panel are derived and represented with lamination parameters using Classical Laminated Plate Theory. The relationship between thermal flutter behavior and lamination parameters is examined. The optimization process is split into two stages. In the first stage, lamination parameters and laminate thicknesses are as design variables to minimize the structure mass, subject to thermal flutter behavior and feasible region constraints of lamination parameters. In the second-stage, instead of using conventional genetic algorithm, the enhanced JAYA method is extended to search the laminate configuration to target the optimal lamination parameters. The effectiveness of the presented method is demonstrated through a thermal aeroelastic tailoring problem.

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Abdalla, Hassan Mohamed Abdelalim, and Daniele Casagrande. "An Intrinsic Material Tailoring Approach for Functionally Graded Axisymmetric Hollow Bodies Under Plane Elasticity." Journal of Elasticity 144, no. 1 (March 15, 2021): 15–32. http://dx.doi.org/10.1007/s10659-021-09822-y.

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AbstractOne of the main requirements in the design of structures made of functionally graded materials is their best response when used in an actual environment. This optimum behaviour may be achieved by searching for the optimal variation of the mechanical and physical properties along which the material compositionally grades. In the works available in the literature, the solution of such an optimization problem usually is obtained by searching for the values of the so called heterogeneity factors (characterizing the expression of the property variations) such that an objective function is minimized. Results, however, do not necessarily guarantee realistic structures and may give rise to unfeasible volume fractions if mapped into a micromechanical model. This paper is motivated by the confidence that a more intrinsic optimization problem should a priori consist in the search for the constituents’ volume fractions rather than tuning parameters for prefixed classes of property variations. Obtaining a solution for such a class of problem requires tools borrowed from dynamic optimization theory. More precisely, herein the so-called Pontryagin Minimum Principle is used, which leads to unexpected results in terms of the derivative of constituents’ volume fractions, regardless of the involved micromechanical model. In particular, along this line of investigation, the optimization problem for axisymmetric bodies subject to internal pressure and for which plane elasticity holds is formulated and analytically solved. The material is assumed to be functionally graded in the radial direction and the goal is to find the gradation that minimizes the maximum equivalent stress. A numerical example on internally pressurized functionally graded cylinders is also performed. The corresponding solution is found to perform better than volume fraction profiles commonly employed in the literature.

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Wang, Yan, Hongbin Zhong, Yuwen Hong, Tong Shan, Kui Ding, Lei Zhu, Feng Liu, Hao Wei, Chunyang Yu, and Hongliang Zhong. "Tailoring the molecular geometry of polyfluoride perylene diimide acceptors towards efficient organic solar cells." Journal of Materials Chemistry C 8, no. 24 (2020): 8224–33. http://dx.doi.org/10.1039/d0tc01707h.

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Tomić, Stanko, Vitomir Milanović, and Zoran Ikonić. "Quantum well shape tailoring via inverse spectral theory: Optimization of nonlinear optical rectification." Physics Letters A 238, no. 6 (February 1998): 385–89. http://dx.doi.org/10.1016/s0375-9601(97)00909-2.

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Esteban-Puyuelo, Raquel, Rajat Kumar Sonkar, Bhalchandra Pujari, Oscar Grånäs, and Biplab Sanyal. "Tailoring the opto-electronic response of graphene nanoflakes by size and shape optimization." Physical Chemistry Chemical Physics 22, no. 15 (2020): 8212–18. http://dx.doi.org/10.1039/c9cp06517b.

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Zhang, Ziyan, Aria Mansouri Tehrani, and Jakoah Brgoch. "Tailoring the Mechanical Properties of Earth-Abundant Transition Metal Borides via Bonding Optimization." Journal of Physical Chemistry C 124, no. 8 (February 6, 2020): 4430–37. http://dx.doi.org/10.1021/acs.jpcc.9b11240.

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Lorenz, R., R. P. Monti, A. Hampshire, Y. Koush, C. Anagnostopoulos, A. Faisal, D. Sharp, G. Montana, R. Leech, and I. Violante. "P114 The automatic neuroscientist: Tailoring tACS using real-time fMRI and Bayesian optimization." Clinical Neurophysiology 128, no. 3 (March 2017): e69-e70. http://dx.doi.org/10.1016/j.clinph.2016.10.237.

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Sundqvist, J., A. F. H. Kaplan, L. Shachaf, A. Brodsky, C. Kong, J. Blackburn, E. Assuncao, and L. Quintino. "Numerical optimization approaches of single-pulse conduction laser welding by beam shape tailoring." Optics and Lasers in Engineering 79 (April 2016): 48–54. http://dx.doi.org/10.1016/j.optlaseng.2015.12.001.

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Prusa, Petr, Miroslav Kučera, Vladimir Babin, Petr Bruza, Tomas Parkman, Dalibor Panek, Alena Beitlerova, et al. "Tailoring and Optimization of LuAG:Ce Epitaxial Film Scintillation Properties by Mg Co-Doping." Crystal Growth & Design 18, no. 9 (July 18, 2018): 4998–5007. http://dx.doi.org/10.1021/acs.cgd.8b00411.

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Journal articles on the topic 'Tailoring optimization'

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