摘要
为了优化钛合金抛光工艺参数,采用中心复合响应曲面法,建立了抛光表面粗糙度的预测模型;采用方差分析方法,检验了预测模型以及各抛光参数的显著性,分析了各抛光参数对表面粗糙度及表面形貌的影响规律。结果表明:该预测模型可对抛光表面粗糙度进行有效的预测;页轮粒度、页轮线速度和进给速度对表面粗糙度影响极显著;表面粗糙度随页轮粒度、页轮线速度和进给速度的增大而减小;表面形貌整体均匀,存在一定的隆起和沟壑。
To optimize polishing parameters,the surface roughness prediction model of titanium alloy in polishing was built by central composite response surface methodology. The variance analyses were applied to checking the significances of the surface roughness model and the polishing parameters. The effect of polishing parameters on surface roughness and surface topography were also studied. The results show that the prediction model can be applied effectively to predict the surface roughness. Flap wheel size,polishing speed and feed speed have very obvious influence on the surface roughness. The surface roughness decreases with the increase of flap wheel size,polishing speed and feed speed. The surface topography is in good consistency,uplift and ravine are also found on the surface topography.
出处
《机床与液压》
北大核心
2016年第15期122-125,共4页
Machine Tool & Hydraulics
关键词
钛合金
抛光
响应曲面
表面粗糙度
表面形貌
Titanium alloy
Polishing
Response surface methodology
Surface roughness
Surface topography
