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Optimization Design of an Embedded Multi-Cell Thin-Walled Energy Absorption Structures with Local Surface Nanocrystallization

by Kang Xu, Tong Li, Gaofei Guan, Jianlong Qu, Zhen Zhao, Xinsheng Xu*

State Key Laboratory of Structural Analysis for Industrial Equipment and Department of Engineering Mechanics, Dalian University of Technology, Dalian, 116024, China

* Corresponding Author: Xinsheng Xu. Email: email

(This article belongs to the Special Issue: New Trends in Structural Optimization)

Computer Modeling in Engineering & Sciences 2022, 130(2), 987-1002. https://doi.org/10.32604/cmes.2022.018128

Abstract

By means of the local surface nanocrystallization that enables to change the material on local positions, an innovative embedded multi-cell (EMC) thin-walled energy absorption structures with local surface nanocrystallization is proposed in this paper. The local surface nanacrystallization stripes are regarded as the moving morphable components in the domain for optimal design. Results reveal that after optimizing the local surface nanocrystallization layout, the specific energy absorption (SEA) is increased by 50.78% compared with the untreated counterpart. Besides, in contrast with the optimized 4-cell structure, the SEA of the nanocrystallized embedded 9-cell structure is further enhanced by 27.68%, in contrast with the 9-cell structure, the SEA of the nanocrystallized embedded clapboard type 9-cell structure is enhanced by 3.61%. This method provides a guidance for the design of new energy absorption devices.

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APA Style
Xu, K., Li, T., Guan, G., Qu, J., Zhao, Z. et al. (2022). Optimization design of an embedded multi-cell thin-walled energy absorption structures with local surface nanocrystallization. Computer Modeling in Engineering & Sciences, 130(2), 987-1002. https://doi.org/10.32604/cmes.2022.018128
Vancouver Style
Xu K, Li T, Guan G, Qu J, Zhao Z, Xu X. Optimization design of an embedded multi-cell thin-walled energy absorption structures with local surface nanocrystallization. Comput Model Eng Sci. 2022;130(2):987-1002 https://doi.org/10.32604/cmes.2022.018128
IEEE Style
K. Xu, T. Li, G. Guan, J. Qu, Z. Zhao, and X. Xu, “Optimization Design of an Embedded Multi-Cell Thin-Walled Energy Absorption Structures with Local Surface Nanocrystallization,” Comput. Model. Eng. Sci., vol. 130, no. 2, pp. 987-1002, 2022. https://doi.org/10.32604/cmes.2022.018128



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This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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