基于响应曲面法的微磨削钛合金表面粗糙度预测分析

微磨削以极高的加工精度和灵活的加工特性在微宏制造领域越来越受到重视。针对钛合金工件的微磨削,运用二次回归正交旋转组合设计方法安排了19组试验,并结合响应曲面法(RSM),分析了微磨削过程中主轴转速、进给速度、磨削深度对表面粗糙度的影响规律。结果表明:在本文的工艺参数范围内,进给速度对微磨削表面粗糙度的影响最大,主轴转速次之,磨削深度影响最小。运用该预测模型,获得了Ra为163nm的磨削表面,为优化微磨削参数和控制表面质量提供依据。

Predictive Model Analysis of Surface Roughness in Micro - grinding Titanium Alloy Based on RSM

Micro - grinding has got more and more concern in micro - fabricating and fabricating area because of high processing accuracy and flexible processing features. The author arranged 19 micro - grinding experiments on titanium alloy by using quadratic regression orthogonal rotation combination design method and analyzed the influence of spindle speed, feed speed and grinding depth that acted on surface roughness. Results shows that spindle speed has significant effect on surface roughness and then is feed speed, grinding depth has a little effect under the particular condition. By using this predictive model, new experiment gets the grinding surface and the Ra is 163nm. The model provides some references for micro - grinding narameters optimization and surface quality control.