The influence of wear volume on surface quality in grinding process based on wear prediction model

During the grinding process, workpiece is not only cut by abrasive grains but adhesive wear also occurs due to high temperature and heavy load, reducing surface quality of workpiece. In this paper, a test method considering speed, force, coefficient, hardness was proposed. A new physical model prediction established based on finite element numerical simulation technology. The carried out machine. Comprehensive research relationship between temperature, morphology volume process studied. depth, cooling lubrication conditions results show that can achieve trend profile volume, with relative errors theoretical actual values 9.84% 2.07%, respectively. This study provides support for control from perspective micro material removal.