聚氨酯泡沫填充圆管吸能性能的多响应优化

Q2 Engineering
Shima Shahravi, M. Rezvani, Ali Jahan
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引用次数: 5

摘要

本研究的主要目的是利用多响应优化(MRO)技术改进聚氨酯泡沫填充薄壁铝槽圆管的设计和性能。所述管沿轴线的不同位置具有内、外圆形凹槽。为此,利用ABAQUS有限元显式程序进行了数值模拟,研究了这些结构的能量吸收。研究了槽距、管径、槽深、泡沫密度和管厚对槽形圆管耐撞性能的影响。在不同的设计参数组合下,沿着实验设计(DOE)技术定义的线进行有限元分析。利用响应面法(RSM)建立的数学模型,对比能吸收(SEA)和破碎力效率(CFE)两个耐撞参数进行了MRO分析。最后,通过对管体吸收能量、管体质量、平均破碎载荷和最大破碎载荷等设计准则的分析,通过多目标优化过程和帕累托图得到了泡沫聚氨酯的最优密度和几何参数。结果表明,槽距和管径是影响最大的参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-response Optimization of Grooved Circular Tubes Filled with Polyurethane Foam as Energy Absorber
The main objective of this research is to improvethe design and performance of the polyurethane foam-filled thin-walled aluminum grooved circular tubes using multi-response optimization (MRO) technique. The tubes are shaped with the inner and the outer circular grooves at different positions along the axis. For this aim, several numerical simulations using ABAQUS finite element explicit code are performed to study the energy absorption of these structures. The effects of the grooves distance, tube diameter, grooves depth, foam density, and tube thickness are investigated onthecrashworthiness parameters of grooved circular tubes. Finite-element analysis is performed along the lines defined by design of experiments (DOE) technique at different combinations of the design parameters. The MRO is carried out using the mathematical models obtained from response surface methodology (RSM) for two crashworthiness parameters termed as the specific energy absorption (SEA) and the crushing force efficiency (CFE). Finally, by analyzing all the design criteria including theabsorbed energy of tube, themass of tube, the mean crushing load, and the maximum crushing load, the optimal density of polyurethane foam and geometric parameters were obtained through both multi-objective optimization process and Pareto diagram. A comparison of the obtained results indicates the significance of grooves distance and the inner diameter of thetube as the most influential parameters.
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来源期刊
Journal of Optimization in Industrial Engineering
Journal of Optimization in Industrial Engineering Engineering-Industrial and Manufacturing Engineering
CiteScore
2.90
自引率
0.00%
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0
审稿时长
32 weeks
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