Assessment of grinding wheel conditioning process using machine vision

Abstract

Assessing the grinding wheel surface condition during dressing is very important in order to decide about the number of dressing passes required to retain the cutting ability of the grinding wheel and also to reduce the wastage of the grinding wheel material. The dressing process removes the loaded particles and brings out the new grains in order to retain the cutting ability of the grinding wheel. The selection of correct dressing parameters and the condition of the dresser are very important to carryout proper dressing. In this work, an attempt has been made to arrive out the number of dressing passes required to dress the grinding wheel based on the texture features of the images of the grinding wheel. The single point diamond dressing was carried out with selected dressing variables. After each pass the images of the grinding wheel was captured in the same location by properly positioning the grinding wheel. Then the images were analyzed and the evaluated texture parameters were used to indicate the condition of the grinding wheel.