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Structure optimization of gasket based on orthogonal experiment and NSGA-II

With the aim of enhancing both reliability and fatigue life of gasket, this study combines finite element analysis, orthogonal experimental design, dynamically-guided multi-objective optimization, and the non-dominated sorting genetic algorithm with elitist strategy to optimize the geometric paramet...

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Autores principales: Dong, Yi, Liu, Jianmin, Liu, Yanbin, LI, Huaying, Zhang, Shaoliang, Hu, Xuesong, Zhang, Xiaoming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10364935/
https://www.ncbi.nlm.nih.gov/pubmed/33900845
http://dx.doi.org/10.1177/00368504211011347
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author Dong, Yi
Liu, Jianmin
Liu, Yanbin
LI, Huaying
Zhang, Shaoliang
Hu, Xuesong
Zhang, Xiaoming
author_facet Dong, Yi
Liu, Jianmin
Liu, Yanbin
LI, Huaying
Zhang, Shaoliang
Hu, Xuesong
Zhang, Xiaoming
author_sort Dong, Yi
collection PubMed
description With the aim of enhancing both reliability and fatigue life of gasket, this study combines finite element analysis, orthogonal experimental design, dynamically-guided multi-objective optimization, and the non-dominated sorting genetic algorithm with elitist strategy to optimize the geometric parameters of the cylinder gasket. The finite element method was used to analyze the temperature field, thermal-mechanical coupling stress field, and deformation of cylinder gasket. The calculation results were experimentally validated by measured temperature data, and comparison results show that the maximum error between calculated value and experiment value is 7.1%, which is acceptable in engineering problems. Based on above results and orthogonal experiment design method, the effects of five factors, including diameter of combustion chamber circle, diameter of coolant flow hole, length of the insulation zone between third and fourth cylinders, thickness of gasket, and bolt preload, on three indexes: temperature, stress, and deformation of gasket, were examined in depth. Through the variance analysis of the results, three important factors were identified to proceed later calculation. The dynamically guided multi-objective optimization strategy and the non-dominated sorting genetic algorithm were effectively used and combined to determine the optimal geometric parameters of cylinder gasket. Furthermore, calculation results suggest that temperature, stress, and deformation of the optimized cylinder gasket have been improved by 27.88 K, 16.84 MPa, and 0.0542 mm, respectively when compared with the origin object, which shows the excellent performance of gasket optimization and effectiveness of the proposed optimization strategy.
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spelling pubmed-103649352023-08-09 Structure optimization of gasket based on orthogonal experiment and NSGA-II Dong, Yi Liu, Jianmin Liu, Yanbin LI, Huaying Zhang, Shaoliang Hu, Xuesong Zhang, Xiaoming Sci Prog Article With the aim of enhancing both reliability and fatigue life of gasket, this study combines finite element analysis, orthogonal experimental design, dynamically-guided multi-objective optimization, and the non-dominated sorting genetic algorithm with elitist strategy to optimize the geometric parameters of the cylinder gasket. The finite element method was used to analyze the temperature field, thermal-mechanical coupling stress field, and deformation of cylinder gasket. The calculation results were experimentally validated by measured temperature data, and comparison results show that the maximum error between calculated value and experiment value is 7.1%, which is acceptable in engineering problems. Based on above results and orthogonal experiment design method, the effects of five factors, including diameter of combustion chamber circle, diameter of coolant flow hole, length of the insulation zone between third and fourth cylinders, thickness of gasket, and bolt preload, on three indexes: temperature, stress, and deformation of gasket, were examined in depth. Through the variance analysis of the results, three important factors were identified to proceed later calculation. The dynamically guided multi-objective optimization strategy and the non-dominated sorting genetic algorithm were effectively used and combined to determine the optimal geometric parameters of cylinder gasket. Furthermore, calculation results suggest that temperature, stress, and deformation of the optimized cylinder gasket have been improved by 27.88 K, 16.84 MPa, and 0.0542 mm, respectively when compared with the origin object, which shows the excellent performance of gasket optimization and effectiveness of the proposed optimization strategy. SAGE Publications 2021-04-26 /pmc/articles/PMC10364935/ /pubmed/33900845 http://dx.doi.org/10.1177/00368504211011347 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Article
Dong, Yi
Liu, Jianmin
Liu, Yanbin
LI, Huaying
Zhang, Shaoliang
Hu, Xuesong
Zhang, Xiaoming
Structure optimization of gasket based on orthogonal experiment and NSGA-II
title Structure optimization of gasket based on orthogonal experiment and NSGA-II
title_full Structure optimization of gasket based on orthogonal experiment and NSGA-II
title_fullStr Structure optimization of gasket based on orthogonal experiment and NSGA-II
title_full_unstemmed Structure optimization of gasket based on orthogonal experiment and NSGA-II
title_short Structure optimization of gasket based on orthogonal experiment and NSGA-II
title_sort structure optimization of gasket based on orthogonal experiment and nsga-ii
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10364935/
https://www.ncbi.nlm.nih.gov/pubmed/33900845
http://dx.doi.org/10.1177/00368504211011347
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