摘要
本文针对机床模态数据进行分析,使用刚度灵敏度分析法与机械结构识别相结合,找出机床薄弱位置,以添加筋板为优化手段,选取筋板宽度和筋板厚度为优化参数,以机床的一阶固有频率和一阶模态最大变形为优化目标。设置好实验设计后,计算各优化点的固有频率和最大形变量,找出固有频率提升最好的设计点,并按照此结构计算静变形。从最后优化结果来看,整机固有频率提升17.68 Hz,一阶模态最大变形量也有小幅度降低,总体满足优化目标。
This paper analyzes the modal data of the machine tool,uses the combination of stiffness sensitivity analysis and mechanical structure identification to find the weak position of the machine tool,takes the reinforcement plate as the optimization method,sets the width and thickness of the reinforcement plate as the optimization parameter,and takes the first order natural frequency and the first order modal maximum deformation of the machine tool as the optimization objective.After the experimental design is set up,the natural frequency and maximum shape variable of each optimization point are calculated,and the design point with the best natural frequency improvement is found and the static deformation is calculated according to this structure.According to the final optimization results,the natural frequency of the whole machine increased by 17.68 Hz,and the maximum deformation of the first-order mode also decreased slightly,which generally met the optimization objectives.
作者
李力
Li Li(School of Mechanical Engineering,University of Shanghai for Science and Technology,Shanghai)
出处
《建模与仿真》
2024年第3期3103-3117,共15页
Modeling and Simulation
