Hierarchical Multi-Objective Optimization of Automobile Seat Frame Based on Grey Fuzzy Logic System
In development of the automobile industry, lightweight and safety performance are contradictory, yet they are of great significance.The optimization process of auto parts is a high-dimensional optimization problem which has a variety of regulations limits and safety tests at the same time. In order...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9743905/ |
| _version_ | 1811342212733075456 |
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| author | Wei Wang Xiaojun Lan Jiangqi Long |
| author_facet | Wei Wang Xiaojun Lan Jiangqi Long |
| author_sort | Wei Wang |
| collection | DOAJ |
| description | In development of the automobile industry, lightweight and safety performance are contradictory, yet they are of great significance.The optimization process of auto parts is a high-dimensional optimization problem which has a variety of regulations limits and safety tests at the same time. In order to address this issue, hierarchical multi-objective optimization of a passenger car seat frame is carried out in this research. Different from previous researches, in this paper, all car seat frame parts are listed as the optimization objects and are given different optimized attributes. Meanwhile, in order to achieve the goal of effectively reducing the sample sizes of the design of experiments, hierarchical optimization is proposed, and the optimization process is divided into three stages. In each stage, components with different optimized attributes are introduced into various safety tests and then conducting design of experiments. On the other hand, through adopting the grey fuzzy logic system to assign the appropriate optimized grade, the optimization process is simplified and the errors caused by the manual selection or unified optimization levels are avoided. The proposed method is considered to be an universal approach to solve the lightweight optimization of the auto parts. Design parameters of the car seat frame before and after the hierarchical multi-objective optimization are compared, it illustrated that total mass and material cost of the seat frame are reduced by 2.3kg (28.5%) and ¥ 13.8 (32.4%) respectively. Moreover, various comparisons are carried out to verify the validity of the optimization method proposed in this paper. In conclusion, the proposed method is quite promising yet with less sample points associated, is an effective mean to solve the multi-objective optimization problems of automobile component. |
| first_indexed | 2024-04-13T19:06:25Z |
| format | Article |
| id | doaj.art-e9d3db5acdf8491795bdcc56a9abb243 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-13T19:06:25Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-e9d3db5acdf8491795bdcc56a9abb2432022-12-22T02:33:57ZengIEEEIEEE Access2169-35362022-01-0110356853570010.1109/ACCESS.2022.31629049743905Hierarchical Multi-Objective Optimization of Automobile Seat Frame Based on Grey Fuzzy Logic SystemWei Wang0Xiaojun Lan1Jiangqi Long2https://orcid.org/0000-0002-7163-0718College of Mechanical and Electrical Engineering, Wenzhou University, Ouhai District, Wenzhou, Zhejiang, ChinaWenzhou Dongqi Auto Parts Manufacturing Company Ltd, Wenzhou, Zhejiang, ChinaCollege of Mechanical and Electrical Engineering, Wenzhou University, Ouhai District, Wenzhou, Zhejiang, ChinaIn development of the automobile industry, lightweight and safety performance are contradictory, yet they are of great significance.The optimization process of auto parts is a high-dimensional optimization problem which has a variety of regulations limits and safety tests at the same time. In order to address this issue, hierarchical multi-objective optimization of a passenger car seat frame is carried out in this research. Different from previous researches, in this paper, all car seat frame parts are listed as the optimization objects and are given different optimized attributes. Meanwhile, in order to achieve the goal of effectively reducing the sample sizes of the design of experiments, hierarchical optimization is proposed, and the optimization process is divided into three stages. In each stage, components with different optimized attributes are introduced into various safety tests and then conducting design of experiments. On the other hand, through adopting the grey fuzzy logic system to assign the appropriate optimized grade, the optimization process is simplified and the errors caused by the manual selection or unified optimization levels are avoided. The proposed method is considered to be an universal approach to solve the lightweight optimization of the auto parts. Design parameters of the car seat frame before and after the hierarchical multi-objective optimization are compared, it illustrated that total mass and material cost of the seat frame are reduced by 2.3kg (28.5%) and ¥ 13.8 (32.4%) respectively. Moreover, various comparisons are carried out to verify the validity of the optimization method proposed in this paper. In conclusion, the proposed method is quite promising yet with less sample points associated, is an effective mean to solve the multi-objective optimization problems of automobile component.https://ieeexplore.ieee.org/document/9743905/Automobile seat frame lightweighthierarchical multi-objective optimizationadaptive design of experimentsgrey fuzzy logic system |
| spellingShingle | Wei Wang Xiaojun Lan Jiangqi Long Hierarchical Multi-Objective Optimization of Automobile Seat Frame Based on Grey Fuzzy Logic System IEEE Access Automobile seat frame lightweight hierarchical multi-objective optimization adaptive design of experiments grey fuzzy logic system |
| title | Hierarchical Multi-Objective Optimization of Automobile Seat Frame Based on Grey Fuzzy Logic System |
| title_full | Hierarchical Multi-Objective Optimization of Automobile Seat Frame Based on Grey Fuzzy Logic System |
| title_fullStr | Hierarchical Multi-Objective Optimization of Automobile Seat Frame Based on Grey Fuzzy Logic System |
| title_full_unstemmed | Hierarchical Multi-Objective Optimization of Automobile Seat Frame Based on Grey Fuzzy Logic System |
| title_short | Hierarchical Multi-Objective Optimization of Automobile Seat Frame Based on Grey Fuzzy Logic System |
| title_sort | hierarchical multi objective optimization of automobile seat frame based on grey fuzzy logic system |
| topic | Automobile seat frame lightweight hierarchical multi-objective optimization adaptive design of experiments grey fuzzy logic system |
| url | https://ieeexplore.ieee.org/document/9743905/ |
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