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作 者:徐峰祥[1,2] 王得伟 邹震 梁锐 XU Fengxiang;WANG Dewei;ZOU Zhen;LIANG Rui(Wuhan University of Technology,Hubei Key Laboratory of Advanced Technology for Automotive Components,Wuhan 430070,China;Wuhan University of Technology,Hubei Collabortive Innovation Center for Automotive Components Technology,Wuhan 430070,China;School of Automotive Engineering,Guilin University of Aerospace Technology,Guilin 541004,China)
机构地区:[1]武汉理工大学现代汽车零部件技术湖北省重点实验室,武汉430070 [2]武汉理工大学汽车零部件技术湖北省协同创新中心,武汉430070 [3]桂林航天工业学院汽车工程学院,广西桂林541004
出 处:《重庆理工大学学报(自然科学)》2023年第8期19-29,共11页Journal of Chongqing University of Technology:Natural Science
基 金:国家自然科学基金面上项目(51975438);广西科技重大专项(2020AA21007AA)。
摘 要:等强度梁的优化设计方法是汽车轻量化和性能设计的关键技术之一,开发等强度梁的多截面独立并行优化算法对底盘零部件的高效轻量化设计具有重要意义。基于Abaqus软件二次开发平台,将理论模型与有限元仿真相结合,开发了新型等强度梁多截面独立并行优化算法,该算法在理论上对梁各个截面进行满应力优化设计,并通过有限元仿真对理论力学模型进行连续迭代修正构建等强度梁结构。将开发的多截面独立并行优化算法应用于车桥桥壳的轻量化设计中,结果显示:桥壳降重10.41%,最大应力降低10.64%。随后借助该算法对含多变量的截面形状进行了优化研究,证明了所建多截面独立并行优化算法具有较好的鲁棒性和稳定性,可应用于任意截面形状的等强度梁优化研究。The optimal design method of equal-strength beam is one of the key technologies of automotive lightweight and performance design. The development of multi-section independent parallel optimization algorithm of equal-strength beam is of great significance for efficient lightweight design of chassis components.Based on the secondary development platform of Abaqus software, a new independent parallel optimization algorithm for multi-cross-section of equal-strength beam is develop by combining the theoretical model with the finite element simulation. The algorithm theoretically has a full stress optimization design of each section of the beam, and constructed the equal strength beam structure by continuous iterative modification of the theoretical mechanical model through the finite element simulation.The development of multi-cross-section independent parallel optimization algorithms develop in the lightweight design of the axle housing. The results show that the axle housing is reduced by 10.41%, and the maximum stress is reduced by 10.64%. Later, the algorithm is optimized to study the cross-section shape containing variables, which prove that the independent parallel optimization algorithm for multi-cross-section built has a good robustness and stability, which can be applied to the intensity beam optimization research of any cross-section shape.
分 类 号:TH122[机械工程—机械设计及理论]
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