摘要
针对CFRP加工表面高质量和高效率相矛盾的问题,利用响应曲面法建立三维表面粗糙度Sa和表面损伤层深度Dd的二阶回归模型,并采用遗传算法进行多目标优化,获得小的Sa、Dd和最大的材料去除率VMRR。结果表明:Sa和Dd的回归模型显著、可靠性好,其中进给速度vf对Sa和Dd的影响最显著,磨削深度ap、主轴转速n和超声振幅A的影响次之。响应曲面分析结果显示:n−A、vf−ap以及vf−A之间的交互作用对Sa影响显著;n−A、vf−A、vf−ap以及ap−A之间的交互作用对Dd影响显著。在Sa、Dd和VMRR权重占比分别为1/5、1/5和3/5的条件下,与中心点结果相比,优化后的Sa降低了11.01%,Dd降低了10.08%,VMRR提高了62.02%。且在优化工艺参数下的Sa和Dd的试验值与预测值的相对误差绝对值分别为8.25%和9.41%,表明预测模型准确性较高,可用于CRFP超声振动磨削的工艺参数优化和预测。
To solve the contradiction between high quality and high efficiency of CFRP machining surface,the quadratic regression models of 3D surface roughness Sa and surface damage layer depth Dd were established by using the response surface method,and the genetic algorithm was used for multi-objective optimization to obtain small Sa,Dd and maximum material removal rate VMRR.The results show that the regression models of Sa and Dd are explicit and reliable,and the feed speed vf has the most significant influence on Sa and Dd,followed by the grinding depth ap,the spindle speed n and the ultrasonic amplitude A.The results of response surface analysis show that the interactions of n and A,vf and ap,vf and A have significant effects on Sa.The interactions of n and A,vf and A,vf and ap,ap and A have significant effects on Dd.When the weight ratios of Sa,Dd and VMRR are 1/5,1/5 and 3/5 respectively,compared with the central point results,the optimized Sa decreases by 11.01%,Dd decreases by 10.08%,and VMRR increases by 62.02%.The absolute values of the relative errors between the experimental and the predicted values of Sa and Dd under the optimized process parameters are 8.25%and 9.41%respectively,indicating that the prediction model has high accuracy and can be used for the optimization and prediction of the process parameters of CRFP ultrasonic vibration grinding.
作者
纪道航
陈燕
郭南
梁宇红
季珺杰
汪永清
JI Daohang;CHEN Yan;GUO Nan;LIANG Yuhong;JI Junjie;WANG Yongqing(College of Mechanical and Electrical Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
出处
《金刚石与磨料磨具工程》
CAS
北大核心
2022年第5期585-594,共10页
Diamond & Abrasives Engineering
基金
国家科技重大专项(2017-Ⅶ-0015-0111)
国家自然科学基金(51375234)。
关键词
响应曲面法
碳纤维增强复合材料
超声振动辅助磨削
多目标优化
表面完整性
response surface method
carbon fiber reinforced composites(CFRP)
ultrasonic vibration assisted grinding
multi-objective optimization
surface integrity
