摘要
Inconel 718镍基合金材料的切削性能较差,零件的表面粗糙度较难保证。为了提高Inconel 718镍基合金零件的表面粗糙度,采用正交试验和极差分析法研究了高速铣削Inconel 718镍基合金时切削速度、每齿进给量、切削深度、切削宽度等4个铣削参数对表面粗糙度的影响规律。运用多元线性回归分析的方法建立了表面粗糙度的预测模型,经过残差图检验具有较高的显著性。利用表面粗糙度预测模型对随机选取的10组切削参数进行表面粗糙度预测,将预测结果与实际测量结果对比,算出综合误差为5.1%,验证了建立的Inconel 718镍基合金表面粗糙度预测模型的有效性,为实际加工中优化切削参数以提高铣削镍基合金零件表面质量提供了一定的理论依据和参考价值。
The machinability of Inconel 718 nickel-based alloy material is poor,and the surface roughness of parts is difficult to be guaranteed.In order to improve the surface roughness of Inconel 718 nickel-based alloy parts,the influence of four milling parameters,including cutting speed,feed per tooth,cutting depth and cutting width,on the surface roughness of Inconel 718 nickel-based alloy parts was studied by Orthogonal Experiment and range analysis method.The prediction model of surface roughness is established by using the method of multiple linear regression analysis,which has high significance after the residual chart test.The surface roughness prediction model was used to predict the surface roughness of 10 groups of randomly selected cutting parameters.By comparing the predicted results with the actual measured results,the comprehensive error was calculated to be 5.1%,which verified the effectiveness of the established Inconel 718 nickel-based alloy surface roughness prediction model.It provides a theoretical basis and reference value for optimizing cutting parameters in actual machining to improve the surface quality of milling nickel-based alloy parts.
作者
盖立武
吴查穆
张克栋
GAI Li-wu;WU Cha-mu;ZHANG Ke-dong(School of Mechanical and Electrical Engineering,Suzhou Vocational University,Suzhou Jiangsu 215104,China;School of Mechanical&Electronic Engineering,Soochow University,Suzhou Jiangsu 215021,China)
出处
《组合机床与自动化加工技术》
北大核心
2021年第10期147-150,共4页
Modular Machine Tool & Automatic Manufacturing Technique
基金
国家自然科学基金项目(51905360)
苏州市职业大学刀具设计和制造技术创新团队(201804000069)。
