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中文核心期刊

面向变厚度柔性轧制工艺的帽型梁横向冲击吸能优化设计

DESIGN OPTIMIZATION OF TOP-HAT BEAM FOR ENERGY ABSORPTION UNDER TRANSVERSE CRASH BASED ON VARIABLE GAUGE ROLLING

  • 摘要: 作为汽车主要吸能构件的帽型梁的吸能提升设计是备受关注的问题.研究表明,通过优化薄壁结构的厚度可有效提升吸能性能,但复杂的厚度分布造成制造困难.针对可实现厚度调控的工艺,发展易制造的结构设计方法极为必要.本文基于变厚度柔性轧制工艺(variable gauge rolling, VGR)可实现厚度调控的特点,发展建立帽型梁横向冲击吸能优化设计方法.基于变厚度柔性轧制工艺生产的柔性轧制板(tailor rolled blanks, TRB)的特点,将受横向冲击的帽型薄壁梁设计成沿轴线分段变厚度、分段间设梯度过渡段的结构形式,通过调整各段厚度、分段位置和过渡层梯度变化规律,实现性能的优化.以应变能密度分布均匀为优化准则、基于混合元胞自动机(hybird cellular automata, HCA)方法构建优化模型和求解方法,并在迭代过程中施加满足轧制约束的过滤函数,使结构满足轧制工艺要求.其中,轧制约束的过滤函数由粒子群算法自动寻找.基于本文方法,具体设计了柔性轧制帽型梁横向冲击吸能最优的分段位置、各段厚度及过渡段厚度的梯度过渡方式,设计结果验证了方法的有效性.

     

    Abstract: As one of the main thin-walled energy absorption structure in automobile, the top-hat beam draws great attention and its performance improvement is a concerning issue. Research indicates that the energy absorption performance of thin-walled structures can be improved by the wall thickness optimization. However, complicated thickness distribution would cause manufacturing difficulties. Thus, it is urgent to develop a design optimization method of structural thickness distribution based on specific manufactory process technology. In this paper, a design optimization method is proposed for maximizing the energy absorption of top-hat beam under transverse crash manufactured by variable gauge rolling technology. This top-hat beam is made of tailor rolled blanks, and can be classified as uniform thickness sections and transition sections. Through adjusting the length and thickness of the uniform section, and the description of the transition section, the performance of the structure can be optimized. To find the optimal structure parameter, we use the hybrid cellular automata to determine the optimization direction. To meet the variable gauge rolling constraint, the structure is filtered in the iteration. Based on this method, we studied an example of top-hat beam and found its optimized section length, thickness and transition description, which shows the effectiveness of this method.

     

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