摘要
采用中心复合试验对钛合金进行了车削试验,分析了切削三要素切削速度、进给量、切削深度对表面粗糙度的影响。基于二阶响应面法建立了表面粗糙度的预测模型,对回归方程进行了显著性检验,并对切削参数影响表面粗糙度的显著性进行了比较。结果表明:在试验采用的切削参数范围内,进给量对切削表面粗糙度的影响最大,切削深度次之,切削速度影响最小;预测模型回归显著,置信度高,可指导加工前合理切削参数的选择,以达到对表面粗糙度进行预测和控制的目的。
The titanium alloy turning tests were carried out by central composite experiment,it has analyzed the influences of three key elements as cutting speed,feed rate,depth of cut on surface roughness. The surface roughness prediction model is established based on the two order response surface method. The significance of the regression equation was validated,and the effects of cutting parameters with surface roughness were significantly compared. The results showed that： within the range of cutting parameters used in the experiments,the most significant on cutting surface roughness is given by cutting feed,then is cutting depth,and the cutting speed has minimal impact on cutting surface roughness indeed; The prediction model has significant regression with high confidence feature. It can be used to select various suitable parameters before the machining processing to predict and control the surface roughness.
出处
《组合机床与自动化加工技术》
北大核心
2016年第6期128-130,共3页
Modular Machine Tool & Automatic Manufacturing Technique
基金
天津市自然科学基金(13JCYBJC17800)
天津市自然科学基金(15JCZDJC32800)
关键词
钛合金
表面粗糙度
车削用量
titanium alloy
surface roughness
turning parameters
