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Relevant bibliographies by topics / Component optimization

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Academic literature on the topic 'Component optimization'

Author: Grafiati

Published: 4 June 2021

Last updated: 20 June 2025

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Journal articles on the topic "Component optimization"

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Lörincz, András, and Barnabás Póczos. "Cost Component Analysis." International Journal of Neural Systems 13, no. 03 (2003): 183–92. http://dx.doi.org/10.1142/s0129065703001558.

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In optimizations the dimension of the problem may severely, sometimes exponentially increase optimization time. Parametric function approximatiors (FAPPs) have been suggested to overcome this problem. Here, a novel FAPP, cost component analysis (CCA) is described. In CCA, the search space is resampled according to the Boltzmann distribution generated by the energy landscape. That is, CCA converts the optimization problem to density estimation. Structure of the induced density is searched by independent component analysis (ICA). The advantage of CCA is that each independent ICA component can be optimized separately. In turn, (i) CCA intends to partition the original problem into subproblems and (ii) separating (partitioning) the original optimization problem into subproblems may serve interpretation. Most importantly, (iii) CCA may give rise to high gains in optimization time. Numerical simulations illustrate the working of the algorithm.

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Vaibhav Medavarapu, Sai. "Blazor Component Libraries: Best Practices and Performance Optimization." International Journal of Science and Research (IJSR) 13, no. 8 (2024): 465–68. http://dx.doi.org/10.21275/sr24807034110.

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Li, Yuxiong, Xianzhen Huang, Xinong En, and Pengfei Ding. "A New System Reliability Optimization Model Based on Swapping Existing Components." Complexity 2019 (November 25, 2019): 1–14. http://dx.doi.org/10.1155/2019/1218925.

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Complex systems contain a large number of components, and in some cases, failure of one or more of these components can cause the entire system to fail. Replacing failed components with other functioning components properly in the original system can be an attractive way for improving system reliability. This paper proposes a new system reliability optimization model to achieve optimal component reliability and the ideal component-swapping strategy under a certain set of constraints. Furthermore, the survival signature is introduced to more efficient calculation of system reliability under various component-swapping cases, and an artificial bee colony (ABC) algorithm with local search method for component swapping is applied to solve the optimization problem. Finally, numerical examples are presented to illustrate the optimization process.

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Davey, Kent. "Ship Component in Hull Optimization." Marine Technology Society Journal 39, no. 2 (2005): 39–46. http://dx.doi.org/10.4031/002533205787443953.

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This document outlines an optimization to define the size of the components in the power train of an electric ship, specifically one appropriate for an 80 MW Destroyer. The objective is to minimize the volume of the system, including the fuel. The size, number and speed of the gas turbines, the electric generators, and the power electronics are considered as unknowns in the analysis. At the heart of the procedure is the power mission profile. The gas turbine is by far the most important component in terms of influence on system volume. Integral to its selection is the specific fuel consumption as a function of power and turbine size. The proposed procedure outlines a nested optimization to define both the best spread of turbines as well as the proper scheduling with load demand. Including fuel in the system volume is the key to meaningful component identification. The optimized design has a system volume 603.5 m3 smaller than the base configuration, assuming both systems employ load scheduling among turbines. An optimized design can save as much as 600 m3.

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Yang, R. J. "Component shape optimization using bem." Computers & Structures 37, no. 4 (1990): 561–68. http://dx.doi.org/10.1016/0045-7949(90)90045-4.

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Kędzierski, P., A. Morka, G. Sławiński, and T. Niezgoda. "Optimization of two-component armour." Bulletin of the Polish Academy of Sciences Technical Sciences 63, no. 1 (2015): 173–79. http://dx.doi.org/10.1515/bpasts-2015-0020.

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Abstract The paper presents research on optimization of two-layer armour subjected to the normal impact of the 7.62x54 B32 armour piercing (AP) projectile. There were analysed two cases in which alumina Al2O3 was supported by aluminium alloy AA2024-T3 or armour steel Armox 500T. The thicknesses of layers were determined to minimize the panel areal density whilst satisfying the constraint, which was the maximum projectile velocity after panel perforation. The problem was solved through the utilization of LS-DYNA, LS-OPT and HyperMorph engineering software. The axisymmetric model was applied to the calculation in order to provide sufficient discretization. The response of the aluminium alloy, armour steel and projectile material was described with the Johnson-Cook model, while the one of the alumina with the Johnson-Holmquist model. The study resulted in the development of a panel optimization methodology, which allows the layer thicknesses of the panel with minimum areal density to be determined. The optimization process demonstrated that the areal density of the lightest panel is 71.07 and 71.82 kg/m2 for Al2O3-Armox 500T and Al2O3-AA2024-T3, respectively. The results of optimization process were confirmed during the experimental investigation.

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Cui, Feng-Zhe, Chong-Quan Zhong, Xiu-Kun Wang, and Hong-Fei Teng. "A collaborative design method for satellite module component assignment and layout optimization." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 15 (2019): 5471–91. http://dx.doi.org/10.1177/0954410019847864.

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The collaborative design of the multi-module satellite component (equipment) assignment and layout is the key aspect of the overall satellite design, and the two parts are closely related. In the past, satellite module component layout optimization usually adopted fixed component assignments, which remained constant in the layout optimization stage. If the components were improperly distributed in these modules, it would seriously affect the layout optimization. To overcome this disadvantage, a collaborative design method for the component assignment and layout design is presented for the multi-module (or multi-bearing plate) satellite component layout problem, based on a multi-agent system. First, the component assignment agent adopted a multi-objective optimization method (the non-dominated sorting genetic algorithm II, NSGA-II) to obtain the approximate Pareto solution set of the satellite component assignment scheme. Second, it adopted a fuzzy multi-objective decision method to select a high-quality component assignment scheme from the approximate Pareto solution set. Third, the layout agent employed a dual system co-evolutionary method for the layout optimization design. In the process of the layout optimization, the layout result is fed back to the component assignment design, and the component assignment is adjusted according to the result of the layout optimization. Thus, the above process is continually iterated to achieve the optimal collaborative design of the component assignment and the layout. The proposed method is applied to a simplified multi-module satellite component assignment and layout optimization problem and aims to provide a reference and technical support for other similar multi-module equipment assignment and layout optimization problems.

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Agarwal, Rohit, and Himanshu Sharma. "Recognition of Facial Emotion Using Swarm Optimization and Component Analysis." Journal of Advanced Research in Dynamical and Control Systems 11, no. 10-SPECIAL ISSUE (2019): 603–9. http://dx.doi.org/10.5373/jardcs/v11sp10/20192848.

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Li, Zhao, Hongyu Xu, and Shuai Zhang. "Moving morphable component (MMC) topology optimization with different void structure scaling factors." PLOS ONE 19, no. 1 (2024): e0296337. http://dx.doi.org/10.1371/journal.pone.0296337.

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The explicit topology optimization method based on moving morphable component (MMC) has attracted more and more attention, and components are the basic building blocks of the implementation of MMC method. In the present work, a MMC topology optimization method based on component with void structure is followed with interest. On the basis of analyzing the characteristics of components used by MMC method, the topology description function for component with void structure is presented, where a quantitative scaling factor is introduced without increasing the number of design variables. Taking the minimum flexibility as the optimization objective, an example of short beam is analyzed with different void structure scaling factors. The results show that different scaling factors have a greater impact on the final topology optimization structure, and an ideal topology structure can be obtained with an appropriate scaling factor. Finally, some problems in the optimization process are analyzed and indicate that appropriate mesh density should be chose for component with void structure in order to achieve good optimization results.

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Chen, Xiaobo, Fangfang Yu, Hengyu Zhou, Zhengdao Li, Kuo-Jui Wu, and Xikun Qian. "Mixed Production Line Optimization of Industrialized Building Based on Ant Colony Optimization Algorithm." Advances in Civil Engineering 2022 (August 18, 2022): 1–12. http://dx.doi.org/10.1155/2022/2411458.

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Prefabricated components production line optimization is critical for improving industrialized building construction efficiency; however, few studies focus on the production line optimization problem in context of industrialized building construction. In order to optimize the large random orders in the prefabricated components production process, this research proposes a model to minimize variance of the production capacity utilization of prefabricated components in the production cycle, and the ant colony optimization algorithm is introduced to solve the mixed production line sequencing optimization problem. By optimizing the sequence, the production capacity of the component production is balanced, and the capacity utilization rate in the industrialized building construction process is improved. Finally, the effectiveness of the method is verified through a real case of fabricated building components production. The results show that the variance of daily production capacity utilization rate of the optimized hybrid component production line has reduced to 0.53%, which is significantly lower than the 2.45% before optimization. The proposed model could effectively achieve the production capacity balance of prefabricated components production line.

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Dissertations / Theses on the topic "Component optimization"

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Azumi, Takuya, Hiroaki Takada, and Hiroshi Oyama. "Optimization of Component Connections for an Embedded Component System." IEEE, 2009. http://hdl.handle.net/2237/13983.

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Carlson, Susan Elizabeth. "Component selection optimization using genetic algorithms." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/17886.

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Rezazadeh, Mehdi, and Reza Delavar. "Production cost reduction through optimization of machine component." Thesis, KTH, Industriell produktion, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-152364.

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This thesis aiming to reduce the cost of production through analyzing and optimizing a set of weaving machine components including five legs; three main legs and two support legs. This set of legs has a reciprocating revolutionary movement around a central axis which is driven by a crank shaft. Finite element static Structural analysis, explicit and fatigue analyses been applied using Ansys workbench. The results show that some areas of legs are under small stresses far from material yield strength. This fact provides the potential for mass reduction of legs without significant effect on mechanical safety factors. Ansys Workbench parameter optimization and shape optimization been applied in this study in order to reduce mass while maintaining almost the same safety factors. Besides performing optimization on original legs, new optimized design alternatives presented for both main legs and support legs. Mass reduction of maximum 18% is obtained in new designs.

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Hilber, Patrik. "Component reliability importance indices for maintenance optimization of electrical networks." Licentiate thesis, Stockholm, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-274.

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Meoni, Francesco <1987&gt. "Modeling, Component Selection and Optimization of Servo-controlled Automatic Machinery." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amsdottorato.unibo.it/8140/1/Meoni_Francesco_tesi.pdf.

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A servo-controlled automatic machine can perform tasks that involve synchronized actuation of a significant number of servo-axes, namely one degree-of-freedom (DoF) electromechanical actuators. Each servo-axis comprises a servo-motor, a mechanical transmission and an end-effector, and is responsible for generating the desired motion profile and providing the power required to achieve the overall task. The design of a such a machine must involve a detailed study from a mechatronic viewpoint, due to its electric and mechanical nature. The first objective of this thesis is the development of an overarching electromechanical model for a servo-axis. Every loss source is taken into account, be it mechanical or electrical. The mechanical transmission is modeled by means of a sequence of lumped-parameter blocks. The electric model of the motor and the inverter takes into account winding losses, iron losses and controller switching losses. No experimental characterizations are needed to implement the electric model, since the parameters are inferred from the data available in commercial catalogs. With the global model at disposal, a second objective of this work is to perform the optimization analysis, in particular, the selection of the motor-reducer unit. The optimal transmission ratios that minimize several objective functions are found. An optimization process is carried out and repeated for each candidate motor. Then, we present a novel method where the discrete set of available motor is extended to a continuous domain, by fitting manufacturer data. The problem becomes a two-dimensional nonlinear optimization subject to nonlinear constraints, and the solution gives the optimal choice for the motor-reducer system. The presented electromechanical model, along with the implementation of optimization algorithms, forms a complete and powerful simulation tool for servo-controlled automatic machines. The tool allows for determining a wide range of electric and mechanical parameters and the behavior of the system in different operating conditions.

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Santi, Gian Maria <1991&gt. "Mesh Morphing Methods for Virtual Prototyping and Mechanical Component Optimization." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amsdottorato.unibo.it/9608/1/Tesi_Dottorato_Santi_Finale.pdf.

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In this thesis, the coupling of mathematical geometry and its discretization (mesh) is performed using a method that fills the gap between simulation and design. Different modelling strategies are studied, tested and developed to bridge commercial CAD with a new methodology able to perform more accurate simulations without loosing the connection with the geometrical features. The aim of the thesis is to enhance the capabilities of Finite Element Methods (FEM) with the properties of Non-Uniform Radial Basis Functions (NURBS) inherited from CAD models in the design phase leading to a perfect representation of the model's boundary. The parametric space definition of the basis functions is borrowed from standard IGA (Isogeometric Analysis) and the possibility of process CAD models without the need for trivariate NURBS from NEFEM (NURBS Enhanced Finite Element Method). This particular combination yields to a bilinear Lagrangian basis and a new mapping between Cartesian and Parametric spaces for quadrilaterals. Using this new formulation it is possible to track the changes of the geometry and reduce the simulation's error up to 25-50% because of the perfect shape representation when compared to an equivalent FEM system. The problems presented are defined in a 2D space and solved using Matlab. NURBS are the key point to perform parametric morphing and simple optimizations while FEM remains the best way to perform simulations. This new method prevents to remodel B-Rep (Boundary Representation) parts after some simple modification due to the analysis and improves the geometry accuracy of the discretization. The geometrical file is directly imported from commercial software and processed by the method. Accuracy, convergence and seamless integration with commercial CAD packages are demonstrated applied to problems of arbitrary 2D geometry. The main problems treated are thermal analysis and solid mechanics where the better results are achieved.

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Stambaugh, Craig T. (Craig Todd) 1960. "Improving gas turbine engine control system component optimization by delaying decisions." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/91787.

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Svensson, Marcus. "Selection of a product component for topology optimization and additive manufacturing." Thesis, Jönköping University, JTH, Industriell produktutveckling, produktion och design, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-52791.

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This is a master thesis research on how to select the right components in a product, considering reducing the weight with topology optimization (TO) and adaption for additive manufacturing (AM). It is well established that manufacturing of complex structures can be achieved with AM, the possibility of integrating assembled components and improve features will therefore be investigated. The new component structure must still withstand the loads that it is subjected to during usage, to not permanently deform or break. In this research the studied product was a handheld Husqvarna chainsaw. Initially a feasibility study was conducted, where the product was disassembled and physically investigated for potential component cases. Additional knowledge was gathered with one semi structured interview per case, with experienced design engineers. Followed by one semi structured interview with AM experts, regarding available AM technique and similar material. Selection of case to continue with was based on the interviews information and Pughs decision matrix, with weighted criterions. TO were used for finding the optimal material distribution. The new component design was analyzed with linear finite element analysis to fulfill both the component and material stress requirements. Component orientation and support structure for AM was analyzed with computer aided engineering software. This resulted with integrating thirteen components for the engines cylinder into one component. The new design resulted in a weight reduction of 31%, while utilizing only 57% of the allowed stress limit. Also, the first 23 natural frequencies were improved with a new type of cooling fin structure, with an increased area of 15%. These results encourage the thesis workflow methodology usage for other products. In conclusion the established workflow of methods resulted in selecting a suitable case for integrating components with feature improvement and adaption of the new design with TO for AM, to reduce the weight.

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Moeller, Robert D. (Robert David). "Optimization in-line vehicle sequencing systems : applications to Ford component manufacturing." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/10158.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1997, and Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1997.<br>Includes bibliographical references (p. 155-156).<br>by Robert D. Moeller.<br>M.S.

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Bachmeyer, Paul Joseph. "Simulation-Based Design Strategies for Component Optimization in Steer-by-Wire Applications." NCSU, 2008. http://www.lib.ncsu.edu/theses/available/etd-03182008-041203/.

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The objective of this thesis is to develop simulation-based design strategies for optimizing the selection of active, semi-active, and passive components for industrial steer-by-wire (SBW) applications. Experimental steering data is collected from an instrumented Honda Accord (1987 model) and used to validate a lateral vehicle model. This model is used to investigate the tactile feedback performance of various SBW configurations at specific driving conditions. Although peak performance is obtained with fully active components (direct-drive electric motors), comparable performance can be obtained using a combination of passive springs, semi-active dampers, and active motors with a 16.3% reduction in cost and an 87.7% reduction in electrical energy required.

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Books on the topic "Component optimization"

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Engineers, Society of Automotive, and Commercial Vechicle Engineering Congress and Exhibition (2005 : Chicago, Ill.), eds. Simulation and optimization-- system level, component level, advanced technology/methodology. Society of Automotive Engineers, Inc., 2005.

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Muñoz-Rojas, Pablo Andrés, ed. Optimization of Structures and Components. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00717-5.

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J, Mraz P., Davy D. T, and United States. National Aeronautics and Space Administration., eds. Shape optimization of tibial prosthesis components. National Aeronautics and Space Administration, 1993.

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Gensure, John Reynold. Extended surface heat sinks for electronic components: A computer optimization. Naval Postgraduate School, 1992.

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S, Rhodes George, and United States. National Aeronautics and Space Administration., eds. Portable parallel stochastic optimization for the design of aeropropulsion components. Applied Research Associates, Inc., 1994.

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Bejan, Adrian, and Giuseppe Grazzini, eds. Shape and Thermodynamics. Firenze University Press, 2008. http://dx.doi.org/10.36253/978-88-8453-836-9.

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Shape and Thermodynamics is a two-day international Workshop focused on the Constructal Theory of generation of configuration in nature and engineering. From the early developments related to tree configurations for the cooling of electronics, today Constructal theory is being applied to conceptual design of transportation net-works, river basins, living bodies, building materials and many other flow systems. Constructal theory is also enriching thermo-dynamics, from basic theory to design and optimization. This theory approaches design "as science", with the generation of configuration regarded as a phenomenon of all physics, based on principle (the Constructal law). For example, Constructal Theory contributes to the evolution of fuel cells, in the design of cooling channels, the optimal feeding of reactants, etc. Important applications are also found in the design of heat exchangers, district heating networks, etc. The growing scientific literature on Constructal Theory has an important Italian component, although further dissemination is timely. Moreover, the relation with other thermodynamic research areas deserves to be explored. Website: Shape and Thermodinamics

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N, Patnaik Surya, Murthy P. L. N, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. Application of artificial neural networks to the design optimization of aerospace structural components. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1993.

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N, Patnaik Surya, Murthy P. L. N, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. Application of artificial neural networks to the design optimization of aerospace structural components. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1993.

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Kastner, Ryan. Synthesis techniques and optimizations for reconfigurable systems. Kluwer Academic Publishers, 2004.

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Kourtev, Ivan S. Timing optimization through clock skew scheduling. Kluwer Academic, 2000.

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Book chapters on the topic "Component optimization"

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Xanthopoulos, Petros, Panos M. Pardalos, and Theodore B. Trafalis. "Principal Component Analysis." In SpringerBriefs in Optimization. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-9878-1_3.

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Chang, Soo Y., Hark-Chin Hwang, and Katta G. Murty. "Optimizing the Radial Component Insertion Operations on PCBs." In Applied Optimization. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2876-7_6.

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Collins, Linda M. "Interactions Between Components and Moderation of Component Effects." In Optimization of Behavioral, Biobehavioral, and Biomedical Interventions. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72206-1_4.

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De Vuyst, Florian. "PDE Metamodeling Using Principal Component Analysis." In Multidisciplinary Design Optimization in Computational Mechanics. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118600153.ch3.

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Fürderer, Ralph. "Cost Optimization of System Components." In Option and Component Bundling under Demand Risk. Deutscher Universitätsverlag, 1996. http://dx.doi.org/10.1007/978-3-663-08818-9_2.

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Kamin, Samuel, Barış Aktemur, and Philip Morton. "Source-Level Optimization of Run-Time Program Generators." In Generative Programming and Component Engineering. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11561347_20.

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van Dijkhuizen, Gerhard. "Maintenance Grouping in Multi-Step Multi-Component Production Systems." In Maintenance, Modeling and Optimization. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4329-9_12.

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Magot, David, Frederic Wurtz, Bruno Cogitore, and Jean-Pierre Keradec. "Optimization Techniques Benefits for Magnetic Component Design." In Optimization and Inverse Problems in Electromagnetism. Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-2494-4_11.

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Cardoso, Jean-François, and Dinh-Tuan Pham. "Optimization Issues in Noisy Gaussian ICA." In Independent Component Analysis and Blind Signal Separation. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30110-3_6.

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Linsinger, Matthias, Martin Sudhoff, Ivan Safonov, Christian Großmann, Andreas Schreiber, and Bernd Kuhlenkoetter. "Optimization of a multi-component assembly workstation." In Tagungsband des 4. Kongresses Montage Handhabung Industrieroboter. Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-662-59317-2_1.

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Conference papers on the topic "Component optimization"

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Li, Dong, Guodong Zeng, Mintao Zhu, Lu Zhang, and Yu Liu. "Research on Intelligent Optimization Method of Prefabricated Component Layout." In 2024 43rd Chinese Control Conference (CCC). IEEE, 2024. http://dx.doi.org/10.23919/ccc63176.2024.10662674.

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Azumi, Takuya, Hiroaki Takada, and Hiroshi Oyama. "Optimization of Component Connections for an Embedded Component System." In 2009 International Conference on Computational Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/cse.2009.97.

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Chen, Yeong-Jer, John Mankowski, John Walter, and Magne Kristiansen. "Virtual Cathode Oscillator Component Optimization." In Conference Record of the 2006 Twenty-Seventh International Power Modulator Symposium. IEEE, 2006. http://dx.doi.org/10.1109/modsym.2006.365206.

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Chirehdast, M., S. Sankaranarayanan, S. Ambo, and R. Johanson. "Validation of topology optimization for component design." In 5th Symposium on Multidisciplinary Analysis and Optimization. American Institute of Aeronautics and Astronautics, 1994. http://dx.doi.org/10.2514/6.1994-4265.

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Endress, Felix, Timoleon Kipouros, and Markus Zimmermann. "Distributing Design Domains for Topology Optimization in Systems Design." In ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/detc2023-114883.

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Abstract When objectives, constraints, boundary conditions, and loading conditions are clear, topology optimization is useful to generate the optimal shape for an individual component. However, in systems consisting of multiple components, component interfaces and their locations may have a significant influence on the component, and, thus, the global system performance. Before topology optimizations can be performed, design domains and associated loading conditions must be allocated to the individual components when designing the system. Unfortunately, to optimally define interfaces in lightweight design, the mechanical performance of each component must be known. This paper proposes a simple and robust approach to specifying the settings for component optimization in a system context. In the first step, requirements are elicited and categorized in system- and component-level. Next, a topology optimization formulation at the component-level is derived from the requirements. Third, different interface definitions are generated, and optimal topologies are computed using sampling. This database is evaluated using a Parallel Coordinates tool, determining the optimal distribution of design domains and incorporating formal and informal constraints. Lastly, final geometries are computed using topology optimization with the setup resulting from system optimization. By informing system-level design with information from the detail design, design domains can be optimally distributed. In a use case, the approach is applied to the control system of a glider airplane, where a common design domain is allocated to three brackets. Optimization at system- and component-levels lead to a reduction in mass by ∼11 % compared to an intuitive distribution of design domains. With the proposed approach, individual topology optimizations of single components will contribute to the global system performance in an optimal way.

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Lizhang, Zhang, Zeyong Yin, Dong Mi, Yanyun Zhao, and Zhengming Qian. "Multidisciplinary design optimization of air propulsion components using principal component analysis method." In 21st AIAA International Space Planes and Hypersonics Technologies Conference. American Institute of Aeronautics and Astronautics, 2017. http://dx.doi.org/10.2514/6.2017-2375.

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Wang Zhongjie, Xu Xiaofei, and Zhan Dechen. "A component optimization design method based on component instance set decomposition: decreasing component reuse cost." In The Fifth International Conference on Computer and Information Technology (CIT'05). IEEE, 2005. http://dx.doi.org/10.1109/cit.2005.4.

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Roopa, Y. Mohana, and A. RamaMohan Reddy. "Cost optimization component selection approach for component based self-adaptive software architecture using component repository." In 2016 International Conference on Communication and Electronics Systems (ICCES). IEEE, 2016. http://dx.doi.org/10.1109/cesys.2016.7889859.

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Lv, Weigong, Fanchao Meng, Ce Zhang, et al. "A Component-Based Simulation Model." In 2016 International Conference on Modeling, Simulation and Optimization Technologies and Applications (MSOTA2016). Atlantis Press, 2016. http://dx.doi.org/10.2991/msota-16.2016.21.

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Richard, Lionel, and B. Hazet. "Use of Principal Component Analysis for Crashworthiness Optimization." In 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization. American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-5559.

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Reports on the topic "Component optimization"

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McDowell, Dylan, Linyu Lin, and Paul Talbot. Component-to-Optimization Workflow Demonstration. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2396820.

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Neely, Jason. VTO Annual Report: Component Modeling, Co-Optimization, and Trade-Space Evaluation. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1830938.

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Bogard, David, Todd Oliver, and Karen Thole. Integrated Turbine Component Cooling Designs Facilitated by Additive Manufacturing and Optimization. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2336687.

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Plotkowski, Alex, Stephen DeWitt, John Coleman, Jean-Luc Fattebert, Qigui Wang, and Andy Wang. Improving Additive Manufactured Component Performance through Multi-Scale Microstructure Simulation and Process Optimization. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2474743.

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Aikin, Jr., Robert M. Process Development and Optimization of a Direct Cast U-6Nb 250 mm Hemispherical Component. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1475315.

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Neely, Jason, Luke Yates, Lee Gill, and Ganapathi Subramania. Electric Drive Technologies Research: ELT223 Component Modeling, Co-Optimization, and Trade-Space Evaluation Annual Report. Office of Scientific and Technical Information (OSTI), 2025. https://doi.org/10.2172/2516811.

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Siefert, John, Graham Pritchard, Jonathan Parker, Ian Perrin, and Amit Shyam. Optimization of Advanced Steels for Cyclic Operation through an Integration of Material Testing, Modeling and Novel Component Test Validation. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1474101.

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Staroselsky, Alexander, Michael Klecka, Anthony Ventura, et al. Optimization of WAAM Process to Produce AUSC Components with Increased Service Life. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1871813.

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See, Nate, Emilian Popov, and Dave Pointer. Final CRADA Report – NFE-21-08642Multiphysics Design Optimization and Additive Manufacturing of Nuclear Components (Executive Summary). Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2439870.

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Pritchard, Alex, Peter Martin, Mark McCourt, and Mark Kearns. Design Optimization of Rotationally Molded Hydrogen Pressure Vessels. Universidad de los Andes, 2024. https://doi.org/10.51573/andes.pps39.gs.ms.3.

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Abstract:

Type IV hydrogen pressure vessels are made up of three components: a metallic boss, a polymer liner, and a composite overwrapping layer for reinforcement. Leakproof design of bosses is critical for safety, ensuring a gas-tight seal to prevent explosions due to leaks. Yet, their design has been largely overlooked. Using rotational molding it is possible to fully encap sulate bosses within liners during molding, but numerous challenges must be overcome relat ing to boss design for effective molding. FEA software was applied to virtually prototype boss designs and optimize their mechanical performance under pressure. CAD and FEA software were integrated in this work, enabling basic geometry constraints to be input in CAD, which were then fine-tuned in FEA in response to stress distribution results. This allowed the FEA model to optimize boss designs autonomously. To ensure moldability, initial boss designs were generated using existing rotational molding experience regarding the encapsulation of small inserts during molding. The autonomous optimization technique was then applied to minimize the boss weight by controlling the size of design features, while ensuring mechanical perfor mance constraints were met.

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