Optimization of design and fatigue simulations for an electric assisted bicycle frame using uniform design and grey relational analysis

IF 1.4 4区工程技术 Q3 ENGINEERING, MECHANICAL

Journal of Strain Analysis for Engineering Design Pub Date : 2022-03-03 DOI:10.1177/03093247221081587

Sen-Yung Lee, Cho-Pei Jiang, C. Lee, Weicheng Huang, Yung-Chang Cheng

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引用次数: 2

Abstract

The electric assisted bicycle is the new transportation tool in the 21st century. The proposal of this article is to upgrade the fatigue safety factor for an electric assisted bicycle frame by integrating the uniform design, Kriging interpolation, entropy weighting method, grey relational analysis, and genetic algorithm. According to EN 15194 standard, the main objective function, the fatigue safety factor for an electric assisted bicycle frame is examined by ANSYS/Workbench software under three fatigue testing simulations. Five geometry parameters of an electric assisted bicycle frame are nominated to be the improved control factors. Since all control factors are continuous in the design space, the uniform design is certainly developed to construct a series of simulation experiments. For each model in the uniform design table, the fatigue finite element analysis is utilized to calculate the fatigue safety factor. Applying the multi-objective optimization procedure, the optimal design version of an electric bicycle frame has been obtained. For the fatigue safety factor, the revised design model has a maximum improvement of 19.59% when compared to the original design. Summery, the fatigue safety factor has been effectively elevated by executing the innovative multi-objective optimization procedure for an electric assisted bicycle frame system.

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基于均匀设计和灰色关联分析的电动辅助自行车车架优化设计及疲劳仿真

电动助力自行车是21世纪的新型交通工具。结合均匀设计法、Kriging插值法、熵权法、灰色关联分析法和遗传算法，对电动辅助自行车车架的疲劳安全系数进行提升。以en15194标准为主要目标函数，利用ANSYS/Workbench软件对某电动辅助自行车车架的疲劳安全系数进行了三次疲劳模拟试验研究。提出了电动助力自行车车架的5个几何参数作为改进控制因素。由于所有控制因素在设计空间中都是连续的，因此必然会发展均匀设计来构建一系列的仿真实验。对于均匀设计表中的各个模型，采用疲劳有限元分析计算疲劳安全系数。应用多目标优化程序，得到了电动自行车车架的最优设计版本。在疲劳安全系数方面，修正后的设计模型与原设计相比，最大提高了19.59%。采用创新的多目标优化方法，有效地提高了电动助力自行车车架系统的疲劳安全系数。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Strain Analysis for Engineering Design 工程技术-材料科学：表征与测试

CiteScore

3.50

自引率

6.20%

发文量

审稿时长

>12 weeks

期刊介绍： The Journal of Strain Analysis for Engineering Design provides a forum for work relating to the measurement and analysis of strain that is appropriate to engineering design and practice. "Since launching in 1965, The Journal of Strain Analysis has been a collegiate effort, dedicated to providing exemplary service to our authors. We welcome contributions related to analytical, experimental, and numerical techniques for the analysis and/or measurement of stress and/or strain, or studies of relevant material properties and failure modes. Our international Editorial Board contains experts in all of these fields and is keen to encourage papers on novel techniques and innovative applications." Professor Eann Patterson - University of Liverpool, UK This journal is a member of the Committee on Publication Ethics (COPE).