基于多对象离散拓扑优化方法的车身结构平台化设计

doi:10.19562/j.chinasae.qcgc.2024.06.014

Abstract

Abstract:

Platform design for product families can increase component commonality and reduce production cost. However， current research on platform is primarily concentrated at the parametric design， lacking direct methods for platform design at the topology structure of product. Therefore， a parallel design method suitable for multi-objects topology structure for the platform design requirements of vehicle body structure is proposed in this paper. Firstly， the improved graph decomposition algorithm is combined with multi-objective genetic algorithm to obtain the optimal design solution for the topology structure partition of a single vehicle body. Then， a multi-population and multi-chromosome genetic algorithm （MPMCGA） for multi-object optimization is proposed based on the modular design process of vehicle body topology structure， which ensures that the design objective loss of each object is within an allowable range while enhancing the sharing potential of modules. Finally， platform design is applied to the underbody panel of three concept vehicle bodies， verifying the effectiveness of the multi-object discrete topology optimization method.

Key words: vehicle body design, platform design, discrete topology optimization, genetic algorithm

Junwei Hua,Wenbin Hou. Platform Design of Vehicle Body Based on Multi-object Discrete Topology Optimization[J].Automotive Engineering, 2024, 46(6): 1075-1084.

Figures/Tables 14

References 15

1	黄向东，陈上华，曾庆洪，等. 高拓展性模块化车身架构的研究和应用［J］. 汽车工程， 2016， 38（9）： 1101-1106.
	HUANG X D， CHEN S H， ZENG Q H， et al. Research and application of highly extensible modular body architecture［J］. Automotive Engineering， 2016， 38（9）： 1101-1106.
2	XU C， YAO W. Mean value-based collaborative method for structural optimization of aircraft family［J］. Proceedings of the Institution of Mechanical Engineers， Part G： Journal of Aerospace Engineering， 2022， 236（16）： 3468-3481.
3	ÖMAN M， NILSSON L. An improved critical constraint method for structural optimization of product families［J］. Structural and Multidisciplinary Optimization， 2012， 45（2）： 235-246.
4	ZOU J， YAO W， XIA T. A sensitivity-based coordination method for optimization of product families［J］. Engineering Optimization， 2016， 48（7）： 1145-1163.
5	FELLINI R， KOKKOLARAS M， MICHELENA N， et al. A sensitivity-based commonality strategy for family products of mild variation， with application to automotive body structures［J］. Structural and Multidisciplinary Optimization， 2004， 27（1-2）： 89-96.
6	TORSTENFELT B， KLARBRING A. Conceptual optimal design of modular car product families using simultaneous size， shape and topology optimization［J］. Finite Elements in Analysis and Design， 2007， 43（14）： 1050-1061.
7	KHALKHALI A， SHOJAEEFARD M H， DAHMARDEH M， et al. Optimal design and applicability of electric power steering system for automotive platform［J］. Journal of Central South University， 2019， 26（4）： 839-851.
8	陈潇凯，王晨宇，施国标，等. 基于多学科设计优化的车辆产品族设计［J］. 北京理工大学学报， 2022， 42（1）： 53-62.
	CHEN X K， WANG C Y， SHI G B， et al. Vehicle product family design based on multidisciplinary design optimization［J］. Transactions of Beijing Institute of Technology， 2022， 42（1）： 53-62.
9	KUMAR R， ALLADA V. Function-technology-based product platform formation［J］. International Journal of Production Research， 2007， 45（24）： 5687-5714.
10	LYU N， SAITOU K. Topology optimization of multicomponent beam structure via decomposition-based assembly synthesis［J］. Journal of Mechanical Design， 2005， 127（2）： 170-183.
11	FORMENTINI G， BOIX R， FAVI C. Design for manufacturing and assembly methods in the product development process of mechanical products： a systematic literature review［J］. The International Journal of Advanced Manufacturing Technology， 2022， 120（7-8）： 4307-4334.
12	LI C， WU R， YANG W. Optimization and selection of the multi-objective conceptual design scheme for considering product assembly， manufacturing and cost［J］. SN Applied Sciences， 2022， 4（4）.
13	周伟，李敏，丘铭军，等. 基于改进遗传算法的车身板件厚度优化［J］. 清华大学学报（自然科学版）， 2022， 62（3）： 523-532.
	ZHOU W， LI M， QIU M J， et al. Vehicle body panel thickness optimization by a genetic algorithm［J］. Journal of Tsinghua University（Science and Technology）， 2022， 62（3）： 523-532.
14	殷学冰，陈勇，代青林，等. 基于NSGA-Ⅱ算法和模糊控制的纯电动汽车2DCT换挡规律研究［J］. 汽车工程， 2022， 44（10）： 1571-1580.
	YIN X B，CHEN Y，DAI Q L， et al. Study on shift schedule of 2DCT for pure electric vehicle based on NSGA-Ⅱ algorithm and fuzzy control［J］. Automotive Engineering， 2022， 44（10）： 1571-1580.
15	HOU W， SHAN C， YU Y， et al. Product-family shared-component selection based on the consistency constraint function［J］. Proceedings of the Institution of Mechanical Engineers， Part D：Journal of Automobile Engineering， 2018， 232（6）： 838-849.

[1]	ZHOU Wei, ZHANG Cheng-Ning, LI Jun-Qiu. [J]. , 2016, 38(12): 1407 -1414 .
[2]	HAO Han, WANG Si-南, LI Xiao, LIU Zong-Wei, ZHAO Fu-Quan. [J]. , 2017, 39(1): 1 -8 .
[3]	ZONG Yi-Qi, GU Zheng-Qi, LUO Ze-Min, JIANG Cai-Mao, ZHANG Qi-Dong, YANG Zhen-Dong. [J]. , 2016, 38(12): 1427 -1433 .
[4]	ZHANG Ying-Chao, ZHAN Da-Peng, ZHAO Jing, ZHANG Zhe, LI Jie. [J]. , 2016, 38(12): 1434 -1439 .
[5]	XU Cheng-Shan, JIANG Fa-Chao, SONG Sen-Nan, TIAN Guang-Yu. [J]. , 2017, 39(1): 9 -14 .
[6]	SHEN Zhe, WANG Yi-Gang, YANG Zhi-Gang, LI Fang-Xu. [J]. , 2016, 38(12): 1440 -1445 .
[7]	GAO Ji-Dong, GAO Bo-Lin, XIE Shu-Gang. [J]. , 2016, 38(12): 1515 -1520 .
[8]	CUI An, LI Bin, WANG Xue-Liang, ZHANG Shi-Zhan. [J]. , 2016, 38(12): 1521 -1525 .
[9]	CHU Liang, ZHAO Di, LI Wen-Hui. [J]. , 2017, 39(1): 61 -65 .
[10]	DONG Zhu-Rong, ZHANG Xin, HU Song-Hua, QIU Hao. [J]. , 2017, 39(1): 79 -85 .

车型	共享模块面积/m²	性能损失/%	共享率/%
车型 a	0.88	8.5	80
车型 b	2.16	3.8
车型 c	2.16	2.4

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[2]	Xudong Zhang, Ya Wen, Yuan Zou, Wenjing Sun, Zhaolong Zhang, Fengmin Tang, Weiguo Liu. Research on Traffic Scheduling Strategies and Improved Algorithms for In-Vehicle Time-Sensitive Networks [J]. Automotive Engineering, 2024, 46(1): 75-83.
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[8]	Chengming Wang,Ying Fan,Donghua Zou,Jinming Wang,Zhengdong Li,Yijiu Chen,Liangwei Zhong. High-accuracy Accident Reconstruction and Injury Analysis Based on Genetic Algorithm [J]. Automotive Engineering, 2021, 43(12): 1787-1792.
[9]	Wei Tonghui, Zuo Wenjie, Zheng Hongwei, Li Feng. Reliability-based Design Optimization of Car Body Based on Dimension Reduction Method [J]. Automotive Engineering, 2020, 42(7): 941-948.
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[11]	Wang Guoyang, Qi Jinzhu, Liu Shiyu, Shuai Shijin, Wang Zhiming. Optimization of Ammonia Coverage Ratio in Selective Catalytic Reduction System Using a Multi-objective Genetic Algorithm [J]. Automotive Engineering, 2020, 42(3): 279-285.
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Platform Design of Vehicle Body Based on Multi-object Discrete Topology Optimization

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