Classifying diamond abrasive grain shape by image processing

2^nd Report : Classification using deep learning (CNN) and its crushing strength

Abstract

The distribution and shape of abrasive grains on the grinding wheel surface influence the grinding characteristics. Therefore, we previously proposed a method to evaluate the diamond abrasive grain shape using image processing. Fourteen factors, including area and degree of damage, were evaluated numerically for regularly shaped diamond abrasive grains. In addition, the relationship between the shape and crushing strength was verified. However, ragged shaped abrasive grains or abrasive grains which have small wear flats could not be evaluated. In this study, a method for classifying such abrasive grains using deep learning is proposed. Finally, the effectiveness of the proposed method was verified by experiment.