Classifying diamond abrasive grain shape by image processing

1^st Report: Numerical evaluation of abrasive grain surface and crushing strength

Abstract

Electrodeposited grinding tools are characterized by a number of features, such as superior grinding efficiency and complex tool surface shape. These tools have comparatively high protrusion height, as the diamond abrasive or CBN grains are fixed on a base wheel by plating. The shape and the distribution of a single electroplated tool surface influence the grinding accuracy. Therefore, a method for measurement of diamond abrasive grain shape by image processing was proposed. The grain shape was shown to be uneven in one grade. Here, a method for classifying diamond abrasive grain shape by image processing is proposed. This method can determine the whole shape of the abrasive grains, and they can be divided into 14 classes. Finally, the relationship between the classification results and crushing strength was verified by experiment.