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基于ANSYS workbench的转膛体优化设计 被引量:5

Optimum Design of Revolving Chamber Based on ANSYS Worbench Multi-Objective Genetic Algorithms
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摘要 利用UG与ANSYS联合仿真对转膛武器的转膛体进行优化设计,通过强度分析、拓扑优化找出可优化区域,建立设计变量,以质量、最大应力、最大应变为目标函数,对转膛体进行多目标遗传算法优化,并对比优化前后应力、应变与质量的变化。经过优化分析转膛体的质量减小16.77%,最大应力减小28.35%,同时最大应变量增加了28.15%。优化设计在满足强度要求的情况下,减小质量,改善了转膛体应力集中情况,最终验证了优化设计的合理性。 The optimum design of the revolving chamber was carried out by the combined simulation of UG and ANSYS.The optimum region was found through strength analysis and topology optimization analysis,and the design variables were established.With mass,maximum stress and maximum strain as objective functions,the multi-objective genetic algorithm was used to optimize the revolving chamber.The stress,strain and quality before and after optimization were compared.After optimization analysis,the mass of the revolving chamber was reduced by 16.77%,the maximum stress was reduced by 28.35%,and the maximum strain was increased by 28.15%.The optimum design reduced the mass and improved the stress concentration of the bore under the condition of satisfying the strength requirement.The rationality of the optimum design was verified by experiments.
作者 张哲伟 杨臻 吴朝峰 ZHANG Zhewei;YANG Zhen;WU Chaofeng(School of Mechanical and Electrical Engineering,North University of China,Taiyuan 030051,China;Chongqing Changan Industry(Group)Co.,Ltd.,Chongqing 401120,China)
出处 《兵器装备工程学报》 CAS 北大核心 2020年第10期35-40,共6页 Journal of Ordnance Equipment Engineering
基金 国家自然科学基金项目(51175481)。
关键词 转膛体 联合仿真 拓扑优化 多目标遗传算法优化 试验验证 revolving chamber co-simulation topology optimization multi-objective genetic algorithm test verification
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