钛合金TC18铣削表面粗糙度预测模型的研究  

Establishing Predictive Model for Surface Roughness of Milling Titanium Alloy TC18

作　　者：刘晓志[1] 陶华[1] 李茂伟[1] 

机构地区：[1]西北工业大学中法虚拟设计与制造技术联合研究室,西安710072

出　　处：《组合机床与自动化加工技术》2010年第7期8-11,共4页Modular Machine Tool & Automatic Manufacturing Technique

摘　　要：依据正交试验结果,利用线性回归分析方法,建立了硬质合金立铣刀铣削钛合金TC18材料时表面粗糙度的预测模型,并进行了该模型回归方程和回归系数显著性检验。该模型预测表面粗糙度具有可靠性:主轴转速和进给量对表面粗糙度的影响显著,而轴向切深和径向切深对表面粗糙度的影响不显著。Based on the results of orthogonal experiment and regression analysis method, surface roughness predictive model in milling of titanium alloy TC18 material is established, and the significance test of regression equation and regression coefficients are finished. The results indicate that the model has reliability on surface roughness, the spindle speed and feed rate have high significant influence on surface roughness, and the axial depth of cutting and radial depth of cutting have no significant influence on surface roughness.

关 键 词：正交试验 表面粗糙度 预测模型 钛合金TC18 

分 类 号：TG540.12[金属学及工艺—金属切削加工及机床]