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机器人磨抛工艺参数优化方法研究

Research on Optimization Method of Robot Grinding and Polishing Process Parameters
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摘要 为了确保加工质量和加工效率的最优参数组合,进行了机器人砂带磨抛去除参数的优化方法研究。在分析砂带磨抛过程后建立了表面粗糙度和磨抛去除率模型。运用deform软件对工件磨抛过程进行模拟仿真,建立了磨抛去除率和粗糙度回归方程。以加工表面粗糙度和材料磨抛去除率作为目标函数进行双目标优化,并运用NSGA-Ⅱ算法确定了最优参数组合。以仿真数据为基础进行正交试验,对理论和仿真的结果进行了验证。结果表明,采用所确定的最优参数组合进行磨抛加工试验,能够达到预期的磨抛去除率和表面粗糙度要求,表面加工质量良好,所用工艺参数优化方法可行。 In order to obtain the optimal combination of parameters which can guarantee the machining quality and efficiency at the same time, the optimization method of robot grinding process parameters was studied. Based on the analysis of abrasive belt grinding process, the removal model of surface roughness and abrasive removal rate were established. Using deform software, the grinding process of workpiece was simulated, and the regression equations were established respectively. The machining surface roughness and material grinding removal rate were taken as objective functions to carry out the double-objective optimization and the NSGA-Ⅱalgorithm was used to solve the optimal parameter combination. Based on the simulation data, the orthogonal experiments were carried out to verify the theoretical and simulation results. The results show that the optimal parameter combination obtained by the research method can meet the expected requirements of grinding removal rate and surface roughness in the grinding processing test, and the surface processing quality is good, which proves that this process parameter optimization method is feasible.
作者 田凤杰 狄春东 韩晓 李论 TIAN Fengjie;DI Chundong;HAN Xiao;LI Lun(School of Mechanical Engineering,Shenyang Ligong University,Shenyang 110159,China;Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110016,China)
出处 《成组技术与生产现代化》 2021年第3期1-7,共7页 Group Technology & Production Modernization
基金 国家自然科学基金资助项目(51775542)。
关键词 机器人磨抛 参数优化 多元线性回归方程 NSGA-Ⅱ算法 robot grinding and polishing parameter optimization multivariate linear regression equation NSGA-Ⅱalgorithm
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