摘要
为找到超声滚挤压轴承套圈时加工参数的优化控制范围,通过设计正交试验,分析了加工参数对轴承套圈各表层性能的影响规律。建立了指数回归和二阶响应回归方程的预测模型,并验证了其准确性。通过MOABC算法对预测模型进行优化,得到最优的加工参数域及表层性能参数域。结果表明,加工参数对表面粗糙度的影响为转速>静压力>进给速度>振幅;对残余压应力影响的显著性为振幅>转速>静压力>进给速度;对硬度影响的显著性为振幅>静压力>进给速度>转速。通过试验值与预测值的对比,指数回归预测模型的误差均小于二阶响应回归。最后得到最优加工参数域:转速[280,350]r·min^(-1)、进给速度[14,20]mm·min^(-1)、振幅[20,25]μm、静压力[470,600]N;最优表层性能参数域:表面粗糙度[0.486,0.548]μm、残余压应力[910,1025]MPa、硬度[711,717]HV。
To find the optimal control range of processing parameters during ultrasonic rolling extrusion of bearing rings,orthogonal tests were carried out to analyze the effect laws of machining parameters on the surface properties of bearing rings.The prediction models based on the exponential regression and second-order response regression equation were established and its accuracy was verified.MOABC algorithm was used to optimize the prediction model,and the optimal machining parameters domains and surface performance parameters domains were obtained.The results show that the significance of processing parameters on surface roughness is rotation speed>static pressure>feed speed>amplitude,the significance on residual compressive stress is amplitude>rotation speed>static pressure>feed speed,the significance on hardness is amplitude>static pressure>feed speed>rotation speed.By comparing the test values with the predicted values,the error of exponential regression prediction model is less than that of second-order response regression.Finally,the optimal processing parameters domains were obtained:rotational speed of[280,350]r·min^(-1),feed speed of[14,20]mm·min^(-1),amplitude of[20,25]μm,static pressure of[470,600]N.The optimal surface performance parameter domain are surface roughness of[0.486,0.548]μm,residual compressive stress of[910,1025]MPa and hardness of[711,717]HV.
作者
付浩然
徐红玉
王晓强
张旭
FU Hao-ran;XU Hong-yu;WANG Xiao-qiang;ZHANG Xu(College of Mechanical and Electrical Engineering,Henan University of Science and Technology,Luoyang 471003,China)
出处
《塑性工程学报》
CAS
CSCD
北大核心
2023年第3期15-23,共9页
Journal of Plasticity Engineering
基金
国家自然科学基金资助项目(U1804145)
国家重点研发计划(2018YEB2000405)。
关键词
优化控制
超声滚挤压
预测模型
MOABC算法
表层性能
optimal control
ultrasonic rolling extrusion
prediction model
MOABC algorithm
surface property
