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采用组合赋权与雷达图法的张紧臂多目标优化

Multi-objective Optimization for Tensioner Arm using Improved Combination Weighting Radar Chart Method
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摘要 以自动张紧器为研究对象,结合发动机前端附件轮系(Engine front end accessory drive,EFEAD)系统的非线性有限元分析,采用折衷规划法定义张紧臂各摆角工况下结构的静态、稳态刚度和动态振动频率最大化的综合目标函数,并提出了一种改进的组合赋权雷达图法来确定各工况的最优权重系数,进行张紧臂结构的多目标优化设计。同时对比经验法、平均分配法和层次分析法定义权重系数的优化结果,验证了改进的组合赋权雷达图法的优越性。最后对张紧臂进行优化设计,分析结果表明:优化后张紧臂在质量减少的情况下,刚度性能和强度性能明显提高,各阶模态频率均可达到要求。 Based on the study of auto-tensioner and Combining the nonlinear finite element analysis of the EFEAD(Engine front end accessory drive)system,a comprehensive objective function was defined by the compromise programming approach,which maximized the static,steady-state stiffness and dynamic vibration frequency.An improved combination weighting radar chart method was applied to obtain the optimal weights of various loading conditions in order to conduct multi-objective optimization design of a tensioner arm.Moreover,the contrastive study was carried out to compare the results on the radar chart methods that determine the weight ratio with empirical design,equipartition law and analytic hierarchy process.The comparison results indicate that the radar chart method is superior to other reference methods.Finally,the tensioner arm was optimized,and the analytic results show that as the mass of the optimized structure is reduced,the stiffness and strength performances are enhanced and that the natural frequency of the model of each order meets the requirement.
作者 汪利洋 胡玉梅 何造 WANG Liyang;HU Yumei;HE Zao(School of Mechanical Engineering,Chongqing University,Chongqing 400040,China;The State Key Laboratory of Mechanical Transmission,Chongqing University,Chongqing 400040,China;School of Automotive Engineering,Chongqing University,Chongqing 400040,China)
出处 《机械科学与技术》 CSCD 北大核心 2021年第10期1477-1483,共7页 Mechanical Science and Technology for Aerospace Engineering
基金 国家重点研发计划项目(2018YFB2001702)。
关键词 张紧臂 多目标优化设计 最优权重系数 雷达图 组合赋权 tensioner arm multi-objective optimization design optimal weighting ratio radar chart method combination weighting
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