Multi-objective robust optimization of foam-filled double-hexagonal crash box using Taguchi-grey relational analysis
In this paper, a novel thin-walled double-hexagonal crash box is first proposed and then multi-objective robust optimized for better overall crashworthiness under multi-angle impact loading, using a proposed hybrid method combining aluminum foam-filling and Taguchi-grey relational analysis (GRA). Sp...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2023-09-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1177/16878132231189070 |
| _version_ | 1797680704196182016 |
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| author | Feng Xiong Zhanfei Wang Dengfeng Wang Longbo Ji Hang Wu Xihong Zou |
| author_facet | Feng Xiong Zhanfei Wang Dengfeng Wang Longbo Ji Hang Wu Xihong Zou |
| author_sort | Feng Xiong |
| collection | DOAJ |
| description | In this paper, a novel thin-walled double-hexagonal crash box is first proposed and then multi-objective robust optimized for better overall crashworthiness under multi-angle impact loading, using a proposed hybrid method combining aluminum foam-filling and Taguchi-grey relational analysis (GRA). Specifically, the finite element (FE) models of the regularly-shaped double-hexagonal column (DHC) extracted from original irregularly-shaped crash box under multi-angle impact loading, including hollow (H-DHC) and foam-filled (F-DHC), are first built and validated by experiments. On this basis, a comprehensive crashworthiness comparison is conducted to explore relative merits of F-DHC over original H-DHC under multi-angle impact loading. After that, the F-DHC is multi-objective robust optimized for maximizing overall specific energy absorption (SEA θ ) and minimizing overall initial peak crushing force (IPCF 0 ) simultaneously under multi-angle impact loading, using a hybrid method of Taguchi-GRA. At last, a bumper-crash box integrated crashworthiness analysis under multi-angle impact loading is executed to further verify the optimization. The optimal F-DHC and the optimized crash box within the optimal F-DHC demonstrate evident improvement of crashworthiness compared to their respective initial designs, indicating aluminum foam-filling combined with Taguchi-GRA could be an effective approach for multi-objective robust optimization of the novel crash box and other similar vehicle structures. |
| first_indexed | 2024-03-11T23:33:54Z |
| format | Article |
| id | doaj.art-9509be66dd6c4f178420babbc401a2a9 |
| institution | Directory Open Access Journal |
| issn | 1687-8140 |
| language | English |
| last_indexed | 2024-03-11T23:33:54Z |
| publishDate | 2023-09-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Advances in Mechanical Engineering |
| spelling | doaj.art-9509be66dd6c4f178420babbc401a2a92023-09-20T06:33:53ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402023-09-011510.1177/16878132231189070Multi-objective robust optimization of foam-filled double-hexagonal crash box using Taguchi-grey relational analysisFeng Xiong0Zhanfei Wang1Dengfeng Wang2Longbo Ji3Hang Wu4Xihong Zou5Chongqing Tsingshan Industria Company Ltd, Chongqing, ChinaKey Laboratory of Advanced Manufacturing Technology for Automobile Parts, Ministry of Education, Chongqing University of Technology, Chongqing, ChinaState Key Laboratory of Automotive Simulation and Control, College of Automobile Engineering, Jilin University, Changchun, ChinaGeneral Research and Development Institute, China FAW Corporation Limited, Changchun, ChinaChongqing Tsingshan Industria Company Ltd, Chongqing, ChinaKey Laboratory of Advanced Manufacturing Technology for Automobile Parts, Ministry of Education, Chongqing University of Technology, Chongqing, ChinaIn this paper, a novel thin-walled double-hexagonal crash box is first proposed and then multi-objective robust optimized for better overall crashworthiness under multi-angle impact loading, using a proposed hybrid method combining aluminum foam-filling and Taguchi-grey relational analysis (GRA). Specifically, the finite element (FE) models of the regularly-shaped double-hexagonal column (DHC) extracted from original irregularly-shaped crash box under multi-angle impact loading, including hollow (H-DHC) and foam-filled (F-DHC), are first built and validated by experiments. On this basis, a comprehensive crashworthiness comparison is conducted to explore relative merits of F-DHC over original H-DHC under multi-angle impact loading. After that, the F-DHC is multi-objective robust optimized for maximizing overall specific energy absorption (SEA θ ) and minimizing overall initial peak crushing force (IPCF 0 ) simultaneously under multi-angle impact loading, using a hybrid method of Taguchi-GRA. At last, a bumper-crash box integrated crashworthiness analysis under multi-angle impact loading is executed to further verify the optimization. The optimal F-DHC and the optimized crash box within the optimal F-DHC demonstrate evident improvement of crashworthiness compared to their respective initial designs, indicating aluminum foam-filling combined with Taguchi-GRA could be an effective approach for multi-objective robust optimization of the novel crash box and other similar vehicle structures.https://doi.org/10.1177/16878132231189070 |
| spellingShingle | Feng Xiong Zhanfei Wang Dengfeng Wang Longbo Ji Hang Wu Xihong Zou Multi-objective robust optimization of foam-filled double-hexagonal crash box using Taguchi-grey relational analysis Advances in Mechanical Engineering |
| title | Multi-objective robust optimization of foam-filled double-hexagonal crash box using Taguchi-grey relational analysis |
| title_full | Multi-objective robust optimization of foam-filled double-hexagonal crash box using Taguchi-grey relational analysis |
| title_fullStr | Multi-objective robust optimization of foam-filled double-hexagonal crash box using Taguchi-grey relational analysis |
| title_full_unstemmed | Multi-objective robust optimization of foam-filled double-hexagonal crash box using Taguchi-grey relational analysis |
| title_short | Multi-objective robust optimization of foam-filled double-hexagonal crash box using Taguchi-grey relational analysis |
| title_sort | multi objective robust optimization of foam filled double hexagonal crash box using taguchi grey relational analysis |
| url | https://doi.org/10.1177/16878132231189070 |
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