Relevant bibliographies by topics / Component optimization / Journal articles
To see the other types of publications on this topic, follow the link: Component optimization.

Journal articles on the topic 'Component optimization'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 June 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Component optimization.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

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.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
2

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

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.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
4

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

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
5

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

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.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
7

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.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
8

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

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.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
10

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.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
11

Kwong, C. K., L. F. Mu, J. F. Tang, and X. G. Luo. "Optimization of software components selection for component-based software system development." Computers & Industrial Engineering 58, no. 4 (2010): 618–24. http://dx.doi.org/10.1016/j.cie.2010.01.003.

Full text
APA, Harvard, Vancouver, ISO, and other styles
12

KELLY, PAUL H. J., OLAV BECKMANN, TONY FIELD, and SCOTT B. BADEN. "THEMIS: COMPONENT DEPENDENCE METADATA IN ADAPTIVE PARALLEL APPLICATIONS." Parallel Processing Letters 11, no. 04 (2001): 455–70. http://dx.doi.org/10.1142/s0129626401000725.

Full text
Abstract:
This paper describes THEMIS, a programming model and run-time library being designed to support cross-component performance optimization through explicit manipulation of the computation's iteration space at run-time. Each component is augmented with "component dependence metadata", which characterizes the constraints on its execution order, data distribution and memory access order. We show how this supports dynamic adaptation of each component to exploit the available resources, the context in which its operands are generated, and results are used, and the evolution of the problem instance. Using a computational fluid dynamics visualization example as motivation, we show how component dependence metadata provides a framework in which a number of interesting optimizations become possible. Examples include data placement optimization, loop fusion, tiling, memoization, checkpointing and incrementalization.
APA, Harvard, Vancouver, ISO, and other styles
13

Kuo, Chung Hsien, M. D. Jeng, J. J. Wing, and Tai Hong Wang. "Optimization of Component Placement Scheduling for SMT Assemblies." Materials Science Forum 505-507 (January 2006): 1123–28. http://dx.doi.org/10.4028/www.scientific.net/msf.505-507.1123.

Full text
Abstract:
The surface mounting of electronic component is the major manufacturing technology for the electronic products in the last decade. The surface mounting technology (SMT) is an assembly process that assembles the surface mountable component (SMC) and the printed circuit board (PCB) together. The SMT mounter is an automatic assembly machine that processes the SMT assemblies in terms of the optical positioning and robotic handling. The SMT assembly consists of calibrating printed circuit board (PCB); vacuuming components form feeder stations; compensating the orientation of the vacuumed surface mountable component (SMC); and finally placing SMC chips on the PCB. In order to increase the throughput, the synchronous batch vacuuming of SMC components is designed. In addition, different types of component feeding and mixing in each batch increase the difficulties of finding the best component mounting sequence. In this paper, the optimal component placement scheduler is desired to perform higher assembly performance and to reduce the cycle time. The proposed optimal component placement scheduler is developed based on the rule based heuristic search approach. In addition, to evaluate the cycle time of each heuristic search, the route oriented Petri nets (ROPN) based SMT assembly models are constructed. The optimal component placement scheduler can be further determined in terms of evaluating the ROPN SMT assembly models. Finally, the practical test PCB board data is discussed in this paper.
APA, Harvard, Vancouver, ISO, and other styles
14

Lo Presti, I., L. Cavazzoni, F. Calacci, and S. Mantovani. "Optimization Methodology for an Automotive Cross-Member in Composite Material." Key Engineering Materials 754 (September 2017): 291–94. http://dx.doi.org/10.4028/www.scientific.net/kem.754.291.

Full text
Abstract:
Optimization methods are useful and effective techniques for the design and development of components from the weight reduction point of view. This paper presents an optimization methodology applied to the front cross-member of a Maserati chassis for metal replacement application with the objective of the minimization of the mass of the structure using composite materials. Firstly, a topological optimization of the front side of the vehicle is performed, and the available design space is considered to determine the optimal load path of the design volume and, consequently, to assess a preliminary geometry of the component under scrutiny. Secondly, free-size optimization of the preliminary cross-member design is developed, initially neglecting and subsequently considering the manufacturing constraints. In addition, a linear analysis of the cross-member, modeled as a rigid component, is carried out to evaluate the maximum contribution of this component on the structural performance of the front side of the vehicle. Finally, size and shuffle optimizations are carried out on the new design concept to determine the number and the thickness of the composite plies, and the optimal stacking sequence, respectively, in order to fulfill the structural requirements. A comparison between the new composite structure and the aluminium Maserati cross-member is presented.
APA, Harvard, Vancouver, ISO, and other styles
15

Hasheminejad, Seyed Mohammad Hossein, and Shabnam Gholamshahi. "PCI-PSO: Preference-Based Component Identification Using Particle Swarm Optimization." Journal of Intelligent Systems 28, no. 5 (2017): 733–48. http://dx.doi.org/10.1515/jisys-2017-0244.

Full text
Abstract:
Abstract Nowadays, component identification is one of the main challenges of software analysis and design. The component identification process aims at clustering classes into components and subcomponents. There are a number of methods to identify components in the literature; however, most of them cannot be customized to software architect’s preferences. To address this limitation, in this paper, we propose a preference-based method by the name of preference-based component identification using particle swarm optimization (PCI-PSO) to identify logical components. PCI-PSO provides a novel method to handle the software architect’s preferences using an interactive (i.e. human in the loop) search. PCI-PSO employs a customized PSO to automatically classify classes into suitable logical components and avoid the problem of identifying the proper number of components. We evaluated the effectiveness of PCI-PSO with four real-world cases. Results revealed that PCI-PSO has an ability to identify more cohesive and independent components with respect to the software architect’s preferences in comparison to the existing component identification methods.
APA, Harvard, Vancouver, ISO, and other styles
16

Obagbuwa, I. C., and A. O. Adewumi. "An Improved Cockroach Swarm Optimization." Scientific World Journal 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/375358.

Full text
Abstract:
Hunger component is introduced to the existing cockroach swarm optimization (CSO) algorithm to improve its searching ability and population diversity. The original CSO was modelled with three components: chase-swarming, dispersion, and ruthless; additional hunger component which is modelled using partial differential equation (PDE) method is included in this paper. An improved cockroach swarm optimization (ICSO) is proposed in this paper. The performance of the proposed algorithm is tested on well known benchmarks and compared with the existing CSO, modified cockroach swarm optimization (MCSO), roach infestation optimization RIO, and hungry roach infestation optimization (HRIO). The comparison results show clearly that the proposed algorithm outperforms the existing algorithms.
APA, Harvard, Vancouver, ISO, and other styles
17

Verhoeff, Mathijs, and Wim J. C. Verhagen. "Component Maintenance Planning Optimization in Defense Aviation." Aerospace 10, no. 3 (2023): 255. http://dx.doi.org/10.3390/aerospace10030255.

Full text
Abstract:
The primary objective in military aviation is to optimize operational readiness, the capability to perform assigned flight missions. This capability is influenced by aircraft downtime due to preventive maintenance at prescribed flight time intervals. In practice, flight planning incorporates preventive maintenance relative to the aircraft as a whole, but also to specific components that are subject to individual constraints. Optimization models have been developed to address the associated aircraft flight and maintenance planning problem, but none of these models addresses planning at the component level while retaining consistency with the aircraft planning outputs. Furthermore, no existing models adequately incorporate the main components of operational readiness. Lastly, practical approaches to this planning problem are reactive. To address these issues, this paper proposes a mixed integer linear programming model that solves the component flight and maintenance planning problem using component substitution scheduling while being aligned with overall aircraft flight and maintenance planning. In this manner, a pro-active, integrated approach is established. The proposed model has been applied towards Royal Netherlands Air Force CH47D Chinook helicopter fleet data, with results showing substantial improvements in critical operational readiness key performance indicators while showing strong reductions in the variability of the preventive maintenance demand and associated financial expenses.
APA, Harvard, Vancouver, ISO, and other styles
18

Delinchant, Benoit, Frédéric Wurtz, João Vasconcelos, and Jean-Louis Coulomb. "Framework for the optimization of online computable models." COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 33, no. 3 (2014): 745–58. http://dx.doi.org/10.1108/compel-10-2012-0211.

Full text
Abstract:
Purpose – The purpose of this paper is to make easily accessible models to test and compare the optimization algorithms we develop. Design/methodology/approach – For this, the paper proposes an optimization framework based on software component, web service, and plugin to exploit these models in different environments. Findings – The paper illustrates the discussion with optimizations in Matlab™ and R (www.r-project.org) of a transformer described and exploitable from the internet. Originality/value – The originality is to make easy implementation of simulation model and optimization algorithm coupling using software component, web service, and plugin.
APA, Harvard, Vancouver, ISO, and other styles
19

Azaron, Amir, Hideki Katagiri, Kosuke Kato, and Masatoshi Sakawa. "RELIABILITY EVALUATION AND OPTIMIZATION OF DISSIMILAR-COMPONENT COLD-STANDBY REDUNDANT SYSTEMS." Journal of the Operations Research Society of Japan 48, no. 1 (2005): 71–88. http://dx.doi.org/10.15807/jorsj.48.71.

Full text
APA, Harvard, Vancouver, ISO, and other styles
20

S. Gaikwad, Kanchan, Shekhar G. Shinde, and Ranjitsinha R Gidde. "A Review on Study of Design Optimization Technique of Mechanical Component." International Journal of Science and Research (IJSR) 12, no. 11 (2023): 1829–31. http://dx.doi.org/10.21275/es231124100624.

Full text
APA, Harvard, Vancouver, ISO, and other styles
21

Cherniak, C. "Component placement optimization in the brain." Journal of Neuroscience 14, no. 4 (1994): 2418–27. http://dx.doi.org/10.1523/jneurosci.14-04-02418.1994.

Full text
APA, Harvard, Vancouver, ISO, and other styles
22

Nanthasudsawaeng, Kritchouw. "Confirmative Component Analysis of Management Optimization of Educational Organizations." Rajabhat Chiang Mai Research Journal 24, no. 1 (2023): 131–42. http://dx.doi.org/10.57260/rcmrj.2023.261086.

Full text
Abstract:
This research aimed to analyze the corroborative components and examine the correspondence between the corroborative structure of the management of educational organizations and the empirical data. The sample consisted of 400 educational administrators in Thailand. The instrument used in this research was a questionnaire with a confidence value of 0.95 in the whole questionnaire. For Confirmative Component Analysis and second corroborative component analysis, the results showed that Educational Organization Management Optimization Components. The components whose weights were arranged in descending order include Organizational structure, Human Resources, Organization Management and Leadership. The results showed that first confirmed components that all index values ​​were found to pass the criteria. They had an element weight of 0.01-0.15 with a statistical significance of .01 and a second-order confirmation component analysis result. All index values ​​were found to pass the criteria. The constituent weights of 0.26-1.26 were statistically significant at .01. The harmonization index between the model and the empirical data was p = 0.09, CMIN/DF = 1.59, GFI = 0.99 and RMSEA = 0.02. It made you aware of the components of organizational management optimization in education to be used to further develop educational organization management efficiency.
APA, Harvard, Vancouver, ISO, and other styles
23

Huo, Fali, Deqing Yang, and Yinzhi Zhao. "Vibration Reduction Design with Hybrid Structures and Topology Optimization." Polish Maritime Research 23, s1 (2016): 10–19. http://dx.doi.org/10.1515/pomr-2016-0040.

Full text
Abstract:
Abstract The hybrid structures show excellent performance on vibration reduction for ship, aircraft and spacecraft designs. Meanwhile, the topology optimization is widely used for structure vibration reduction and weight control. The design of hybrid structures considering simultaneous materials selection and topology optimization are big challenges in theoretical study and engineering applications. In this paper, according to the proposed laminate component method (LCM) and solid isotropic microstructure with penalty (SIMP) method, the mathematical formulations are presented for concurrent materials selection and topology optimizations of hybrid structures. Thickness distributions of the plies in laminate components are defined as materials selection design variables by LCM method. Relative densities of elements in the components are defined as topology design variables by SIMP method. Design examples of hybrid 3-bar truss structures and hybrid floating raft with vibration reduction requirements verified the effectiveness of the presented optimization models.
APA, Harvard, Vancouver, ISO, and other styles
24

Gao, Jianyong, Yanpeng Zhang, and Chen Qing. "PMC reliability assessment and maintenance optimization." E3S Web of Conferences 522 (2024): 01052. http://dx.doi.org/10.1051/e3sconf/202452201052.

Full text
Abstract:
By analyzing the main functions of PMC, determining the task profile of each PMC component, establishing a PMC task reliability model, and combining internal and external feedback, the action unit components that have a significant impact on PMC failures and contribute to the critical path of major repairs are identified. Component reliability maintenance analysis and quantitative evaluation of the overall reliability of PMC were carried out. The analysis shows that the existing preventive maintenance strategy effectively identifies equipment hazards and proposes suggestions for reliability improvement.
APA, Harvard, Vancouver, ISO, and other styles
25

Chen, Xiaoqian, Xianqi Chen, Yufeng Xia, Weien Zhou, and Wen Yao. "An ILP-Assisted Two-Stage Layout Optimization Method for Satellite Payload Placement." Space: Science & Technology 2022 (September 28, 2022): 1–15. http://dx.doi.org/10.34133/2022/9765260.

Full text
Abstract:
In the satellite overall design phase, it is a crucial step to perform satellite layout design to guarantee that the aggregation of electronic components can operate normally and stably in an appropriate temperature environment. In order to handle the satellite payload placement problem of the DongFangHong 4 (DFH-4) platform, the heat pipe-constrained component layout optimization (HCLO) problem is proposed with the HCLO model formulated. Through careful investigation, it can be divided into two optimization subproblems that can be solved subsequently. Based on the divide-and-conquer strategy, an integer linear programming- (ILP-) assisted two-stage layout optimization method is proposed. In stage one, component-heat pipe distribution optimization is performed using the ILP technique so that specific heat pipes occupied by each component can be determined and the horizontal movement range of components can be reduced. In stage two, the detailed component layout optimization is investigated to obtain the final positions of components. First, the sequence layout sampling (SeqLS) method is used to generate one nonoverlap initial layout. Next, swap operation between components is incorporated to reduce the centroid deviation. Finally, sequential quadratic programming (SQP) search is conducted based on the generated promising initial layout solutions. Therefore, the SeqLS-based heuristic layout search algorithm is proposed in the second stage. Two layout test cases, including 15 components and 90 components, respectively, are investigated to demonstrate the validity and efficacy of the proposed layout design method. Experimental results show that it is promising to apply such a two-stage approach for satellite payload placement in engineering.
APA, Harvard, Vancouver, ISO, and other styles
26

LI, WEI, MING J. ZUO, and RAMIN MOGHADDASS. "OPTIMAL DESIGN OF A MULTI-STATE WEIGHTED SERIES-PARALLEL SYSTEM USING PHYSICAL PROGRAMMING AND GENETIC ALGORITHMS." Asia-Pacific Journal of Operational Research 28, no. 04 (2011): 543–62. http://dx.doi.org/10.1142/s0217595911003235.

Full text
Abstract:
In this paper, we report a study of the reliability optimal design of multi-state weighted series-parallel systems. Such a system and its components are capable of assuming a whole range of levels of performance, varying from perfect functioning to complete failure. There is a component utility corresponding to each component state. This system model is more general than the traditional binary series-parallel system model. The so-called component selection reliability optimal design problem which involves selection of components with known reliability characteristics and cost characteristics has been widely studied. However, the problem of determining system cost and system utility based on the relationships between component reliability, cost and utility has not been adequately addressed. We call it optimal component design reliability problem which has been studied in one of our former papers and continued in this paper for the multi-state weighted series-parallel systems. Furthermore, comparing to the traditional single-objective optimization model, the optimization model we proposed in this paper is a multi-objective optimization model which is used to maximize expected system performance utility and system reliability while minimizing investment system cost simultaneously. Genetic algorithm is used to solve the proposed physical programming based optimization model. An example is used to illustrate the flexibility and effectiveness of the proposed approach over the single-objective optimization method.
APA, Harvard, Vancouver, ISO, and other styles
27

Yue, Xiaofeng, and Hongbo Zhang. "Grasshopper optimization algorithm with principal component analysis for global optimization." Journal of Supercomputing 76, no. 7 (2019): 5609–35. http://dx.doi.org/10.1007/s11227-019-03098-9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
28

Liang, Junyong, Zhifang Cao, Qingzhi Zu, Hua Huang, and Shunsheng Guo. "Production Sequencing and Layout Optimization of Precast Concrete Components under Mold Resource Constraints." Buildings 14, no. 10 (2024): 3173. http://dx.doi.org/10.3390/buildings14103173.

Full text
Abstract:
Precast concrete components have attracted a lot of attention due to their efficient production on off-site production lines. However, in the precast component production process, unreasonable production sequence and mold layout will reduce production efficiency and affect the workload balance between each process. Due to the multi-species and small-lot production characteristics of precast concrete components, the number of molds corresponding to each precast concrete component is generally limited. In this paper, a production sequence and layout optimization model for assembling precast concrete components under a limited number of molds is proposed, aiming to improve the comprehensive utilization efficiency of the mold tables and balance the workload between each production process of precast components. In order to obtain a better production sequence and a richer combination of mold layout schemes, a multi-objective teaching-learning-based optimization algorithm based on the Pareto dominance relation is developed, and an enhancement mechanism is embedded in the proposed algorithm. To verify the superior performance of the enhanced teaching-learning-based optimization algorithm in improving the comprehensive utilization efficiency of the mold tables and balancing the workload between various processes, three different sizes of precast concrete component production cases are designed. The research results show that the proposed model and optimization algorithm can help production managers to efficiently formulate more reasonable precast component production sequence and layout schemes, especially for those enterprises that are struggling to improve the efficiency of precast concrete component production.
APA, Harvard, Vancouver, ISO, and other styles
29

Hao, Ying Qi, and Si Qi Wang. "The Internal Stress Optimization of Structural Model Based on Super Finite Element Calculating Software." Applied Mechanics and Materials 353-356 (August 2013): 3334–40. http://dx.doi.org/10.4028/www.scientific.net/amm.353-356.3334.

Full text
Abstract:
The structural optimization based on FE (Finite Element) software ANSYS is an emerging subject which is combines computational mechanics, mathematical programming, computer science and other engineering subject. Up to now, substantial research breakthroughs have been achieved in optimization theory. This essay is mainly about the theory analysis and internal stress optimization on the modal displayed on the contests of the Fifth National Structure Design Contest for College Student, including selection of basic components, size detail optimization of components. The optimization of structural stress is to find the optimal solutions while keep the variable within certain range. As for this paper, it is to find the optimal solution to mass while the internal stress, component size, load are under constrained. Finally, to ensure the safety of structure and component, analysis was made on the computation results.
APA, Harvard, Vancouver, ISO, and other styles
30

Cenni, Riccardo, Matteo Cova, and Giacomo Bertuzzi. "A methodology to consider local material properties in structural optimization." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 231, no. 15 (2016): 2822–34. http://dx.doi.org/10.1177/0954406216640807.

Full text
Abstract:
We propose a finite element methodology to consider local material properties for large cast iron components in shape optimization. We found that considering local strength instead of uniform strength within shape optimization brings to different results in terms of safety-cost balance for the same component. It is well known that local mechanical properties of large cast iron components are defined by their microstructure and defects, which locally affect the strength of the components. Considering or not local mechanical properties can dramatically change a component reliability evaluation during its design. Since a typical industrial aim for shape optimization is trying to get the optimal solution in terms of component quality and cost, considering local material properties is even more important than in traditional design process where no optimization techniques are used. We compute solidification process parameters via finite element solidification analysis, and then we exploit experimental correlation between these parameters and ultimate tensile strength to evaluate the local reliability of the finished component under its static loading conditions. We believe that this methodology represents an opportunity to better design casting components when mechanical properties are deeply affected by their production process as described in the provided examples. In these examples, we wanted to minimize casting cost constrained by a target reliability and we get component cost reduction by considering local material properties. Future research will address the problem of using dedicated casting simulation software instead of general purpose finite element analysis software to compute solidification analysis and then introducing fatigue analysis and correlation between fatigue material properties and casting process output variables.
APA, Harvard, Vancouver, ISO, and other styles
31

BIANCIARDI, Fabio, Nicolo' SALAMONE, Daniel DE GREGORIIS, Sjoerd VAN OPHEM, Patrick CORBEELS, and Karl JANSSENS. "An efficient framework for design optimization using parametric reduced order modeling in a virtual prototyping phase." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 4 (2024): 7218–26. http://dx.doi.org/10.3397/in_2024_3933.

Full text
Abstract:
Virtual Prototype Assembly is a tool enabling the virtual assembly of components, the prediction of noise and vibration performance, and the evaluation of component modification scenarios. FRF-based substructuring is the technique used to assemble the components, either obtained from experimental measurements or numerical simulation models. However, numerical simulations of components can be time-consuming, especially when exploring several component design modifications of large models. The paper proposes a framework combining Virtual Prototype Assembly with a parametric Model Order Reduction technique for vehicle design optimization. The proposed parametric Model Order Reduction technique generates a Reduced Order Model of a component maintaining an explicit dependency on material parameters and properties, such as: Young's Modulus, density, Poisson coefficient, connection stiffness, etc.. This enables fast and efficient simulation of components designs without the need of recomputing numerical models, thus streamlining the component design optimization process. The effect of component design modifications will be assessed at the predicted target vibration levels on an academic application case.
APA, Harvard, Vancouver, ISO, and other styles
32

Srivastava, Saurabh, Sachin Salunkhe, and Sarang Pande. "Topology optimization of engine bracket arm using BESO." International Journal for Simulation and Multidisciplinary Design Optimization 14 (2023): 2. http://dx.doi.org/10.1051/smdo/2023003.

Full text
Abstract:
An engine bracket is one of the most critical components of the engine used for mounting and supporting the engine in the vehicles. Today, the automobile industry requires lightweight components, which will reduce the car's overall weight when fitted into the vehicle. Topology optimization is a technique with the help of which the surface of a component is optimized to get the required shape for having reduced weight. The weight is reduced by optimizing the material on the surface of the details. In this paper, the work done is the application of topology optimization on the surface of the engine bracket arm. Then the optimized model is tested computationally using realistic conditions. Bi-directional evolutionary structural optimization is used as a technique for topology optimization. With the help of the BESO method, the material optimization is done, and then the weights are compared with the original component. A new algorithm is developed using MATLAB codes. The sensitivity ratio is considered using the von Mises strength as a critical parameter for the BESO method for optimization. The optimized bracket model is then assembled with the hub of the component, and then the assembly is simulated for verification using standard conditions. A comparison of weight reduction is there using topology optimization.
APA, Harvard, Vancouver, ISO, and other styles
33

Yuan, Zhenmin, Yaning Qiao, Yaru Guo, Yaowu Wang, Chen Chen, and Wenshun Wang. "Research on Lean Planning and Optimization for Precast Component Production Based on Discrete Event Simulation." Advances in Civil Engineering 2020 (November 7, 2020): 1–14. http://dx.doi.org/10.1155/2020/8814914.

Full text
Abstract:
Component factories are experiencing the problems associated with lean production, especially the accuracy of production time prediction and the unnecessary waste in terms of time and resource utilization. In order to solve these problems, a discrete event simulation- (DES-) based lean planning and optimization method for precast component production is proposed by integrating the complexity assessment (CS), discrete event simulation (DES), and lean management (LM). The method includes three submodels: improved production planning, DES, and lean analysis and optimization. In the submodel of improved production planning, a complexity evaluation index system for precast components is established through investigating five component factories, consulting seven domain experts and analysing relevant literature. In the submodel of DES, the DES technique is adopted to simulate and analyse the production activities of precast components. The submodel of lean analysis and optimization provides multidimensional analysis, comparative analysis, and suggestions. Finally, a detailed production case is selected to simulate and test the proposed method. The important findings are as follows: (1) this method can minimize the difference between the processing time of each workstation to avoid bottleneck stations as much as possible; (2) this method can capture the uncertainty during precast component production, and the most likely production time calculated by the method is 12.05 hours instead of the 11.50 hours originally estimated by the component factory; (3) this method can identify some unnecessary waste in the production process of precast components, including less than 50% utilization of workstations and unnecessary equipment purchases; (4) this method also provides some suggestions regarding production optimization. Due to the particularity of precast component production, it further expands the boundary of lean production methodology from the perspective of the construction industry rather than the manufacturing industry. The proposed method assists component factories in planning and optimizing the precast component production when they make detailed production plans.
APA, Harvard, Vancouver, ISO, and other styles
34

Ma, Chenyang, Qiyu Wang, Zhiqiang Cai, Shubin Si, and Jiangbin Zhao. "Component reassignment for reliability optimization of reconfigurable systems considering component degradation." Reliability Engineering & System Safety 215 (November 2021): 107867. http://dx.doi.org/10.1016/j.ress.2021.107867.

Full text
APA, Harvard, Vancouver, ISO, and other styles
35

Wu, Ying, Fei Qiao, Li Li, and Kai Ye. "A Component Based Reconfigurable Scheduling System for Semiconductor Manufacturing." Advanced Materials Research 139-141 (October 2010): 1644–47. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.1644.

Full text
Abstract:
For coping with the challenge of the highly dynamic and stochastic semiconductor manufacturing environment, a component based reconfigurable scheduling (CBRS) system is presented. CBRS system has two types of components: simple components and compounded components which have encapsulated the common scheduling methods such as rescheduling methods, real-time dispatching rules and optimization algorithms. These components are stationed on different scheduling layers: medium-term plan layer, optimization layer and real-time dispatching layer. And some of these components can be used together to create some more practical and feasible scheduling solutions to handle different shop floor operational scenarios. This paper has described the system structure and the function of different types of components. And finally with instance, the feasibility of component based scheduling system is indicated.
APA, Harvard, Vancouver, ISO, and other styles
36

Zhao, Qing-Nan, Ting-Zhu Huang, Xi-Le Zhao, Tian-Hui Ma, and Ming-Hui Cheng. "A Convex Optimization Model and Algorithm for Retinex." Mathematical Problems in Engineering 2017 (2017): 1–14. http://dx.doi.org/10.1155/2017/4012767.

Full text
Abstract:
Retinex is a theory on simulating and explaining how human visual system perceives colors under different illumination conditions. The main contribution of this paper is to put forward a new convex optimization model for Retinex. Different from existing methods, the main idea is to rewrite a multiplicative form such that the illumination variable and the reflection variable are decoupled in spatial domain. The resulting objective function involves three terms including the Tikhonov regularization of the illumination component, the total variation regularization of the reciprocal of the reflection component, and the data-fitting term among the input image, the illumination component, and the reciprocal of the reflection component. We develop an alternating direction method of multipliers (ADMM) to solve the convex optimization model. Numerical experiments demonstrate the advantages of the proposed model which can decompose an image into the illumination and the reflection components.
APA, Harvard, Vancouver, ISO, and other styles
37

Wu, Yu, Jing Wei Liu, and Yue Hong Xie. "Component-Based Ranking Strategy for Evolutionary Optimization with Sparse Constraints." Applied Mechanics and Materials 556-562 (May 2014): 3925–29. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.3925.

Full text
Abstract:
Most constraint-handling methods in constrained evolutionary optimization usually take advantage of only the valuable information of feasible solutions, while they don’t exploit adequately the information from infeasible ones. In this paper, a concept of “feasible component” is introduced to recognize the characteristics of diverse information extracted from infeasible solutions. Then a component-based ranking strategy is proposed for evolutionary optimization with sparse constraints by integrating feasible components and the idea of stochastic ranking. Experimental results on several problems with sparse constraints show that the component-based ranking strategy performs better than the stochastic ranking.
APA, Harvard, Vancouver, ISO, and other styles
38

Researcher. "PERFORMANCE OPTIMIZATION TECHNIQUES IN REACT APPLICATIONS: A COMPREHENSIVE ANALYSIS." International Journal of Research In Computer Applications and Information Technology (IJRCAIT) 7, no. 2 (2024): 1165–77. https://doi.org/10.5281/zenodo.14146734.

Full text
Abstract:
Performance optimization remains a critical challenge in modern React applications, particularly as applications scale in complexity and user base. This comprehensive article analysis examines various optimization techniques across component-level, application-level, and data handling domains. The article presents a systematic evaluation of key optimization strategies including React.memo implementation, hook-based optimizations (useCallback, useMemo), code splitting with React.lazy and Suspense, and efficient large dataset management using React Virtualizer. Through detailed case studies of an e-commerce platform and a social media application, we demonstrate significant performance improvements: a 30% reduction in initial load times and enhanced user interaction responsiveness. The article identifies common implementation pitfalls and provides validated solutions for issues such as memoization overuse and inefficient component hierarchies. Performance metrics analysis reveals substantial improvements in load time, memory usage, and overall user experience. The findings provide a structured framework for implementing optimization strategies while balancing development complexity and maintenance overhead. This article contributes to the growing body of knowledge on React application optimization and offers practical guidelines for developers facing similar performance challenges.
APA, Harvard, Vancouver, ISO, and other styles
39

Kozlov, V. V., T. V. Tomashevska, and N. I. Kuznetsov. "Using of Optimization Models in Financial Decision Support Systems." Statistics of Ukraine 88, no. 1 (2020): 75–83. http://dx.doi.org/10.31767/su.1(88)2020.01.09.

Full text
Abstract:
The article discusses the use of optimization models in financial decision support systems (DSS). The architecture of the DSS is considered. It is determined by the nature of the interaction of its main components: the user interface, database and data warehouse, documents and rules, models and analytical tools, communications infrastructure and networks, as well as elements of these parts. The architecture of the DSS for solving problems of financial management is determined by the nature of interaction of its main components.
 Conceptual and functional models are presented. The functional model of the DSS reflects the structure of control actions on decision-makers, persons involved in the implementation of corrective actions necessary for effective financial performance. According to the functional model, a block diagram of the DSS is proposed. The block diagram of decision support consists of three main subsystems and provides modular-block construction. The proposed system is characterized by an open architecture and can be easily modified for functional expansion or for connecting and using external databases. The DSS should provide a common operating environment for modeling objects in a dynamically changing economic situation. The operating environment contains basic calculation algorithms, and allows the user to create own algorithms for calculating cash flows and used indicators. Thus, the key element of the integrated decision support system for managing the financial condition of the enterprise is the models laid down in the basis of the system.
 The architecture of the DSS based on algorithms is considered. A DSS of this type contains a set of algorithms for solving a selected class of problems. Of the factors that influence the choice of a specific architecture of the DSS in financial management, we can highlight (i) the need for further development of the system, (ii) its adaptation, and (iii) the application of the evolutionary approach to the development of the DSS. The components of the system are: data input component, resource allocation component, strategy selection component, output component. The resource allocation component contains the following sub-components: determination of dependence coefficients, solution of optimization problem, solution of equation. The strategy selection component includes the sub-components for calculating the values of integral design characteristics, for calculating the values of groups of design characteristics, and for the pairwise comparison of strategies.
 The information model of the component “The distribution of financial resources of the enterprise” is presented. The DSS performs data processing and checks for critical decision characteristics. The formalized structure of the algorithm for using the proposed models of distribution of financial resources, types of model integration are considered.
APA, Harvard, Vancouver, ISO, and other styles
40

Xu, Zhi-Zheng, Chong-Quan Zhong, and Hong-Fei Teng. "Assignment and layout integration optimization for simplified satellite re-entry module component layout." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 12 (2017): 4287–301. http://dx.doi.org/10.1177/0954410017704220.

Full text
Abstract:
Previous studies of satellite module component (equipment) layout optimization usually initialized a component assignment in the initialization stage, which kept constant in following optimization process. The invariable component assignment will restrict the further improvement in layout optimization. To overcome this deficiency, an assignment and layout integration optimization method is presented for multi-module or supporting surface satellite module component layout design. The assignment and layout integration optimization model and the component reassignment model are built. The component reassignment model is solved by algorithms with new heuristic rule, and the integration optimization model itself is solved by evolutionary algorithm. The purpose of this article is to improve the computational performance of algorithms for multi-module or supporting surface satellite module component layout optimization. The proposed method is applied to a simplified satellite re-entry module component layout optimization problem to illustrate its effectiveness.
APA, Harvard, Vancouver, ISO, and other styles
41

Pan, Shu Hua, and Yu Dong Chen. "Modal Stiffness Contributions of Components to Full Truck." Advanced Materials Research 199-200 (February 2011): 1185–91. http://dx.doi.org/10.4028/www.scientific.net/amr.199-200.1185.

Full text
Abstract:
In recent years, three optimal methods, size, shape and topological optimization, have been widely applied to the automotive component design and significant success have been achieved. However, most of the optimizations are limited to deal with the individual component of the truck. Because there exists the complex coupling relations between components under the assembly environment of the truck, it is difficult to deal with the component design by using the above three optimal method and it is necessary to develop a more effective method for solving the complex optimal problem under the assembly environment of full truck. To this end, the paper introduces the modal stiffness concept and develops the modal stiffness contributions of components to full truck which can identify which components are the key ones for controlling the modal frequencies. The present method is applied to a full truck analysis. The results obtained show that the proposed method is effective and the computation process is straightforward. The results can be directly used to improve the component design of full truck as a valuable guide.
APA, Harvard, Vancouver, ISO, and other styles
42

von Spakovsky, M. R., and R. B. Evans. "The Design and Performance Optimization of Thermal System Components." Journal of Energy Resources Technology 111, no. 4 (1989): 231–38. http://dx.doi.org/10.1115/1.3231429.

Full text
Abstract:
A general analytical approach which directly determines the optimum thermodynamic and economic behavior of thermal systems and which is described in detail in von Spakovsky and Evans (1987) and von Spakovsky (1986) is briefly discussed here in the context of establishing a “stable economic environment” around each cycle component. Such environments allow for isolated, individual component optimizations which need not to be performed at the time the system is optimized, but which nonetheless correspond to some overall system optimum. In these environments, very “detailed” thermoeconomic component models can be optimized without the added complications resulting from a consideration of all the other system variables. The development and optimization of these “detailed” models is illustrated using the example of a feedwater heater. Utilizing the Second Law and typical Second Law costing techniques, the method presented here provides for the creation of mathematical models which balance operating costs and capital expenditures. Such models can be solved numerically for the optimum design point or the optimum operating point of a thermal system and each of its components.
APA, Harvard, Vancouver, ISO, and other styles
43

Wang, Shuqiang, Jia Tang, Yiquan Zou, and Qihui Zhou. "Research on production process optimization of precast concrete component factory based on value stream mapping." Engineering, Construction and Architectural Management 27, no. 4 (2019): 850–71. http://dx.doi.org/10.1108/ecam-10-2018-0455.

Full text
Abstract:
Purpose The purpose of this paper is to investigate the process optimization of a precast concrete component production line by using value stream mapping. Design/methodology/approach This paper is an empirical focused on of lean production theory and value stream mapping. The data in the case study were collected in real time on-site for each process during the production process of a prefabricated exterior wall. Findings The results of the current value stream map indicate that the main problems of the current production process are related to equipment, technology and organization. The equipment problems include simple demolding and cleaning tools and the lack of professional transfer channels. The technology problems include the lack of a marking mechanism and pipeline exit mechanism. There is a lack of standard operating procedures and incomplete process convergence. A comparison and analysis of the current value stream and the future value flow indicate that optimizations of the process flow, the production line layout, and the standard operating procedures have shortened the delivery cycle, reduced the number of workers, improved the operator’s operating level and balanced the production line. Practical implications The results of this study provide practitioners with a clear understanding of the optimization of the precast concrete component production and represent a method and basis for the process optimization of a factory production line; the approach is suitable for process optimization in other areas. Originality/value This research represents an innovative application of lean production theory and value stream mapping in a complex production line of precast concrete components and thereby fills the gap between the theory and practice of the optimization of a precast concrete component production line.
APA, Harvard, Vancouver, ISO, and other styles
44

Mohana Roopa, Y., M. Ramesh Babu, Jetti Kumar, and D. Kishore Babu. "Optimal component architecture using particle swarm optimization algorithm for self-adaptive software architecture." International Journal of Engineering & Technology 7, no. 1.6 (2018): 23. http://dx.doi.org/10.14419/ijet.v7i1.6.11387.

Full text
Abstract:
The component-based software engineering (CBSE) ensue the procedure of reconfiguration and reusability of components to reap the higher productivity. The context-aware structures are portion of CBSE, which observes the functionality of the system and adopt automatically according to the execution context. In this paper, we are focusing on the aware context guidelines that automatically adapt to the given context given by the customers and remodel the software architecture based totally on the requirements. The component repository turned into added, in which it carries the wide variety of reusable components. The fuzzy logic becomes carried out to the component evaluation in the component repository. The Particle Swarm Optimization (PSO) algorithm applied, to optimize component architecture. The Hospital management system is used to test the adaptability of the system.
APA, Harvard, Vancouver, ISO, and other styles
45

Dui, Hongyan, Xinyue Wang, and Haohao Zhou. "Redundancy-Based Resilience Optimization of Multi-Component Systems." Mathematics 11, no. 14 (2023): 3151. http://dx.doi.org/10.3390/math11143151.

Full text
Abstract:
Systems are damaged due to various disturbances, and the reliability of the systems is reduced. Measures to improve system resilience need to be studied since many systems still need to operate normally after suffering damage. In this paper, the whole process of the disturbance and recovery of the system is considered, and a resilience optimization model of a multi-component system is proposed. Firstly, a system resilience assessment method is proposed based on system reliability, and the system resilience loss is used as the resilience assessment index. Secondly, two component importance indexes, loss importance and recovery importance, are proposed for the system disturbance phase and recovery phase, respectively. The two importance indexes are weighted to obtain the weighted importance so as to measure the change law of system resilience and determine the influence degrees of components on system reliability. Then, under the constraint of maintenance time, an optimization model is established to determine a redundancy strategy to maximize system resilience. Finally, through an example analysis of a wind turbine system with its main components, it is verified that the redundancy strategy proposed with this method can reduce the loss of system resilience and effectively improve system reliability.
APA, Harvard, Vancouver, ISO, and other styles
46

Yang, R. J., K. K. Choi, and E. J. Haug. "Numerical Considerations in Structural Component Shape Optimization." Journal of Mechanisms, Transmissions, and Automation in Design 107, no. 3 (1985): 334–39. http://dx.doi.org/10.1115/1.3260718.

Full text
Abstract:
A unified design sensitivity analysis theory and a linearization method of optimization are employed for structural component shape optimization. A material derivative method for shape design sensitivity analysis, using the variational formulation of the equations of elasticity and the finite element method for numerical analysis, is used to calculate derivatives of stress and other structural response measures with respect to boundary shape. Alternate methods of boundary shape parameterization are investigated, through solution of two test problems that have been treated previously by other methods: a fillet and a torque arm. Numerical experiments with these examples and a variety of finite element models show that component shape optimization requires careful selection of boundary parameterization, finite element model, and finite element grid refinement techniques.
APA, Harvard, Vancouver, ISO, and other styles
47

Efa, Dame Alemayehu, Endalkachew Mosisa Gutema, Hirpa G. Lemu, and Mahesh Gopal. "Optimization of Titanium Alloy-Ti-6Al-4V to Minimize Mass, Maximize Stiffness and Frequency in Additive Manufacturing." Key Engineering Materials 980 (April 18, 2024): 3–13. http://dx.doi.org/10.4028/p-so6m4z.

Full text
Abstract:
Manufacture of intricate components, products without the need for tooling, shorter lead times and material grading are the most beneficial applications of Additive Manufacturing (AM). The goal of this study is to develop a design optimization framework for developing an aircraft component using additive manufacturing utilizing topology and lattice optimization techniques. Solid works were used to create a 3D model of an aircraft bracket made of Titanium alloy. To minimize mass and maximize frequency and stiffness, the optimization was performed using Altair Inspire 2022.1 software. Component optimization was performed using the finite element method, which entails reducing material while maintaining the proper function of the modelled component. The optimal performance of the designed aerospace component using topology with lattice infill is achieved with minimization of mass from 2.24810 kg to 0.16235 kg and the volume from 5.07579x105 mm3 to 4.70922x102 mm3, frequency is increased from 0.02 kHz to 13.9537 kHz, stiffness is maximized from 1,485,884.1 N/m to 4,558,924.0939 N/m with a factor of safety of 1.73. Therefore, the mechanical properties of the optimized model can full fill its overall performance.
APA, Harvard, Vancouver, ISO, and other styles
48

Boopalan, Navaamsini, Agileswari K. Ramasamy, and Farukh Nagi. "Electronic Component Heat Distribution Optimization Using MATLAB." International Journal of Computer-aided Mechanical Design and Implementation 2, no. 1 (2016): 1–8. http://dx.doi.org/10.21742/ijcmdi.2016.2.1.01.

Full text
APA, Harvard, Vancouver, ISO, and other styles
49

Vijayagopal, R., R. Chen, P. Sharer, S. M. Wild, and A. Rousseau. "Using multiobjective optimization for automotive component sizing." World Electric Vehicle Journal 7, no. 2 (2015): 261–69. http://dx.doi.org/10.3390/wevj7020261.

Full text
APA, Harvard, Vancouver, ISO, and other styles
50

Cheng, Jianqiang, Richard Li-Yang Chen, Habib N. Najm, Ali Pinar, Cosmin Safta, and Jean-Paul Watson. "Distributionally Robust Optimization with Principal Component Analysis." SIAM Journal on Optimization 28, no. 2 (2018): 1817–41. http://dx.doi.org/10.1137/16m1075910.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the bibliographies on the topic 'Component optimization' for other source types:
Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography