Experiment and Surface Roughness Prediction Model for Ti-6Al-4V in Abrasive Belt Grinding

摘要

In abrasive belt grinding, abrasive belt granularity, abrasive belt speed, feeding speed and grinding force have a great influence on the surface roughness. In order to predicate the surface roughness of Ti-6Al-4V, a response surface methodology are used to build the model to predict surface roughness, and the influence of various parameters on surface roughness was analysed. The research shows that with the abrasive belt granularity and abrasive belt speed increasing, the work piece surface roughness decreases; with the grinding force and feeding speed increasing, the work piece surface roughness increases. Through the test, the response surface methodology with high prediction accuracy, provides a theoretical basis for the reasonable selection of abrasive belt grinding parameters.