Abstract
An adaptation of information entropy theory was proposed to evaluate the abrasive grain distribution over a wide range for the abrasive grain fixed tool face. To confirm the effectiveness of the proposed method, a model was developed with changes in abrasive grain number and distribution by simulation. The results indicated that the entropy value increased as the number of abrasive grains increased. Therefore, to evaluate dispersion in abrasive grain distribution, specific entropy was proposed. The proposed method can evaluate the relative distribution state of abrasive grains, even when the numbers of abrasive grains and distribution are different. From the results, the relations between the abrasive grain distribution on the belt, cutting ability, and tool life in actual belt grinding were clarified by information entropy. Furthermore, results with different behavior of entropy were compared, and it was indicated that the specific entropy fluctuates for a belt with long life.
