4.7 Article

Multiobjective crashworthiness optimization of functionally lateral graded foam-filled tubes

期刊

MATERIALS & DESIGN
卷 44, 期 -, 页码 414-428

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.matdes.2012.08.033

关键词

Foam-filled tubes; Functionally graded foam; Crashworthiness; Multiobjective optimization; Finite element method

资金

  1. Hunan University
  2. Cultivation Fund of the Key Scientific and National Science and Technology Support Program [2012BAH09B02]
  3. Ministry of Education of China [11072074]
  4. State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body of Hunan University [30815007, 30915001]

向作者/读者索取更多资源

Foam-filled tubes have recently gained attention due to their excellent energy absorption capacity. In order to improve the crashworthiness of foam-filled tubes, the energy absorption characteristics of two kinds of functionally lateral graded foam-filled tubes (FLGFTs) are investigated in this paper. Based on the numerical results, it is found that each of the two kinds of FLGFTs has more excellent energy absorption capacity than the ordinary uniform foam-filled tube (UFT) with the same weight. In addition, it can also be found that the gradient exponential parameter m which controls the variation of foam density gives rise to significant effects on the crashworthiness of FLGFTs. Thus, in order to seek for the optimal gradient exponential parameter, the two kinds of FLGFTs are optimized by multiobjective particle swarm optimization (MOPSO) algorithm, aiming to achieve the maximum specific energy absorption (SEA) and the minimum peak crushing force (PCF). During the process of multiobjective optimization design, the 7th-order polynomial functions of SEA and PCF are established and found to be accurate enough for engineering design. The results obtained by optimizations further indicate that the optimal FLGFT performs more excellent energy absorption characteristics than ordinary UFT. The optimization design data is a good guidance for the crashworthiness design of FLGFTs. (C) 2012 Elsevier Ltd. All rights reserved.

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