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Relevant bibliographies by topics / Mechanical optimizations

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Journal articles

Academic literature on the topic 'Mechanical optimizations'

Author: Grafiati

Published: 9 June 2023

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Journal articles on the topic "Mechanical optimizations"

1

Vlahopoulos, N., and C. G. Hart. "A Multidisciplinary Design Optimization Approach to Relating Affordability and Performance in a Conceptual Submarine Design." Journal of Ship Production and Design 26, no. 04 (2010): 273–89. http://dx.doi.org/10.5957/jspd.2010.26.4.273.

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A multidisciplinary design optimization (MDO) framework is used for a conceptual submarine design study. Four discipline-level performances—internal deck area, powering, maneuvering, and structural analysis—are optimized simultaneously. The four discipline-level optimizations are driven by a system level optimization that minimizes the manufacturing cost while at the same time coordinates the exchange of information and the interaction among the discipline-level optimizations. Thus, the interaction among individual optimizations is captured along with the impact of the physical characteristics

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2

Mo, Yu Zhen, and Jia Chu Xu. "Studies on Mechanical Properties and Optimization Model of PI/SiO₂ Nanocomposite Based on Materials Studio." Advanced Materials Research 1049-1050 (October 2014): 54–57. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.54.

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The unit cell models of PI/SiO2 nanocomposite was built by Materials Studio. The stiffness matrix and mechanical properties parameters such as Young modulus, shear modulus, bulk modulus and Poisson ratio of the unit cells were achieved after molecular dynamic (MD) optimizations and calculations. The influence factors on the mechanical properties of nanocomposite were analyzed. Finally, the optimization model was achieved.

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3

Xu, Haoran, Lingen Chen, Yanlin Ge, and Huijun Feng. "Four-Objective Optimization of an Irreversible Stirling Heat Engine with Linear Phenomenological Heat-Transfer Law." Entropy 24, no. 10 (2022): 1491. http://dx.doi.org/10.3390/e24101491.

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This paper combines the mechanical efficiency theory and finite time thermodynamic theory to perform optimization on an irreversible Stirling heat-engine cycle, in which heat transfer between working fluid and heat reservoir obeys linear phenomenological heat-transfer law. There are mechanical losses, as well as heat leakage, thermal resistance, and regeneration loss. We treated temperature ratio x of working fluid and volume compression ratio λ as optimization variables, and used the NSGA-II algorithm to carry out multi-objective optimization on four optimization objectives, namely, dimension

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4

Lee, Youngmyung, Yong-Ha Han, Sang-ok Park, and Gyung-Jin Park. "Vehicle crash optimization considering a roof crush test and a side impact test." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 233, no. 10 (2018): 2455–66. http://dx.doi.org/10.1177/0954407018794259.

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The vehicle performances for the side impact test and the roof crush test are dependent on the side structure design of a vehicle. Crash optimization can be employed to enhance the performances. A meta-model-based structural optimization technique is generally utilized in the optimization process since the technique is simple to use. However, the meta-model-based optimization is not suitable for problems with many design variables such as topology and topometry optimizations. A crash optimization methodology is proposed to consider both the side impact test and the roof crush test. The equival

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5

Sun, S., Z. Fan, Y. Wang, and J. Haliburton. "Organic solar cell optimizations." Journal of Materials Science 40, no. 6 (2005): 1429–43. http://dx.doi.org/10.1007/s10853-005-0579-x.

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6

Du, Yun Peng, Guo Liang Hu, and Fei Dong. "Study on Structural Design and Optimization Analysis for 2V80 Engine Piston Based on Finite Element Analysis." Advanced Materials Research 753-755 (August 2013): 1188–91. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.1188.

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According to the experiment of engine bench test and piston's temperature field, the thermal boundary conditions and the mechanical conditions of piston are obtained. Under the condition of mechanical load and thermal load playing, the stress and strain of original engine is simulated and analyzed. Stress concentration and weak structure of original engine is found. The parameter of piston structure is optimized and the optimizations are put forward and analyzed to verify the optimizations' effectiveness. These provide a reference for the digital modeling and numerical analysis to solver engin

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7

Xiong, Zhe, Xiao-Hui Li, Jing-Chang Liang, and Li-Juan Li. "A Multi-Objective Hybrid Algorithm for Optimization of Grid Structures." International Journal of Applied Mechanics 10, no. 01 (2018): 1850009. http://dx.doi.org/10.1142/s1758825118500096.

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In this study, a novel multi-objective hybrid algorithm (MHGH, multi-objective HPSO-GA hybrid algorithm) is developed by crossing the heuristic particle swarm optimization (HPSO) algorithm with a genetic algorithm (GA) based on the concept of Pareto optimality. To demonstrate the effectiveness of the MHGH, the optimizations of four unconstrained mathematical functions and four constrained truss structural problems are tested and compared to the results using several other classic algorithms. The results show that the MHGH improves the convergence rate and precision of the particle swarm optimi

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8

Wan, Zhi-Qiang, Xiao-Zhe Wang, and Chao Yang. "Integrated aerodynamics/structure/stability optimization of large aircraft in conceptual design." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 232, no. 4 (2017): 745–56. http://dx.doi.org/10.1177/0954410016687143.

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The multidisciplinary design optimization is suitable for modern large aircraft, and it has the potential in conceptual phase of aircraft design especially. An integrated optimization method considering the disciplines of aerodynamics, structure and stability for large aircraft design in conceptual phase is presented. The objective is the minimum stiffness of a beam-frame wing structure subject to aeroelasticity, aerodynamics, and stability constraints. The aeroelastic responses are computed by commercial software MSC. Nastran, and the cruise stability is evaluated by the linear small-disturba

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9

López, Luis Fernando de Mingo, Francisco Serradilla García, José Eugenio Naranjo Hernández, and Nuria Gómez Blas. "Speed Proportional Integrative Derivative Controller: Optimization Functions in Metaheuristic Algorithms." Journal of Advanced Transportation 2021 (November 3, 2021): 1–12. http://dx.doi.org/10.1155/2021/5538296.

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Recent advancements in computer science include some optimization models that have been developed and used in real applications. Some metaheuristic search/optimization algorithms have been tested to obtain optimal solutions to speed controller applications in self-driving cars. Some metaheuristic algorithms are based on social behaviour, resulting in several search models, functions, and parameters, and thus algorithm-specific strengths and weaknesses. The present paper proposes a fitness function on the basis of the mathematical description of proportional integrative derivate controllers sho

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10

Nowak, M. "Improved aeroelastic design through structural optimization." Bulletin of the Polish Academy of Sciences: Technical Sciences 60, no. 2 (2012): 237–40. http://dx.doi.org/10.2478/v10175-012-0031-8.

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Abstract. The paper presents the idea of coupled multiphysics computations. It shows the concept and presents some preliminary results of static coupling of structural and fluid flow codes as well as biomimetic structural optimization. The model for the biomimetic optimization procedure was the biological phenomenon of trabecular bone functional adaptation. Thus, the presented structural bio-inspired optimization system is based on the principle of constant strain energy density on the surface of the structure. When the aeroelastic reactions are considered, such approach allows fulfilling the

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