摘要
为抑制打磨末端振动,提高轮毂表面打磨质量和过程稳定性,进行了以振动抑制为目的的打磨工艺参数优化试验,根据试验结果分析了主要工艺参数(主轴转速、进给速度、法向压力和砂纸粒度)对末端振动加速度的影响规律;利用多元回归方法建立目标函数预测回归模型,基于Design-Expert软件对试验结果进行方差分析,基于响应面法获得的最佳工艺参数组合为主轴转速3000 r/min、进给速度6 mm/s、粒度500目、法向压力13 N。铝轮毂打磨试验表明:预测模型的预测误差小于10%,通过工艺参数优化能够在减小末端振动的同时显著提高表面质量。
In this article,in order to suppress vibration at the grinding end and improve grinding quality and process stability of the wheel-hub surface,the optimization of the grinding-process parameters is subject to the test for the purpose of vibration suppression.According to the test results,the influence of the main process parameters(spindle speed,feed speed,normal pressure,and sand paper size)on the end vibration acceleration is analyzed.The objective-function prediction regression model is set up by means of the multiple regression method,and the variance analysis is conducted on the results with the help of the Design-Expert software.The optimal process parameters obtained based on the response-surface method are spindle speed 3000 r/min,feed speed 6 mm/s,particle size 500 mesh,and normal pressure 13 N.The results obtained from the grinding experiments on the aluminum wheel hubs prove that the error of the prediction model is less than 10%,and thanks to optimization of the grinding-process parameters,surface quality significantly improves while vibration at the end is reduced.
作者
戴士杰
赵玉峰
张文华
DAI Shi-jie;ZHAO Yu-feng;ZHANG Wen-hua(School of Mechanical Engineering,Hebei University of Technology,Tianjin 300130;Hebei Key Laboratory of Robot Perception and Human-Robot Interaction,Tianjin 300130)
出处
《机械设计》
CSCD
北大核心
2023年第2期28-35,共8页
Journal of Machine Design
基金
中央引导地方科技发展专项(19941603G)
国家重点研发计划(2019YFB1311104)。
关键词
铝合金轮毂
机器人打磨
响应面法
参数优化
aluminum-alloy wheel hub
robot grinding
response-surface method
parameter optimization
