基于响应表面法的钛合金零件磨抛加工工艺参数优化

钛合金的化学活性高、热导率低、弹性模量小,是一种典型的难加工材料。随着工业技术的发展,现代工业对钛合金的表面质量提出了更高的要求,因此,对于钛合金磨抛加工这种能够获取高表面质量的加工方法的研究显得非常重要。采用Box-Behnken试验设计方法,进行了工艺参数对表面粗糙度的影响试验,然后基于响应表面法,建立了钛合金磨抛加工表面粗糙度二阶预测模型,并对工艺参数进行了优化。

Research on RSM-Based Process Parameter Optimization of Titanium Alloy Surface Polishing

Titanium alloy is well known as a kind of difficult to machine material because of its high chemical activity,low thermal conductivity,and small elastic module.With the development of the industrial technology,there is a higher demand for the surface integrity of titanium alloys in modem industry,so it is very important to investigate the grinding and polishing method,which is a method to get a better surface of the titanium alloys.An experiment on the influence of the machining parameters on surface roughness is carried out using the Box-Behnken Design (BBD),then a quadratic predictive meodel of surface roughness based on response surface method (RSM) is built.The optimum values of machining parameters with respect to Ra are found through optimization.