主催: 一般社団法人 日本機械学会
会議名: 日本機械学会 関東支部第28期総会・講演会
開催日: 2022/03/14 - 2022/03/15
It has been clarified through various studies that the cutting edge spacing and density of abrasive grains on the work surface affect the accuracy and tool life in machining with grinding tools, but there has been no research on the effect of the dispersion of abrasive grain distribution. Therefore, this laboratory has proposed a method to quantitatively evaluate the abrasive grain dispersibility of grinding tools by using information content entropy from images transferred by pressure-sensitive paper. However, when quantitative evaluation using information entropy is performed, there is a possibility that the distribution state differs even if the evaluation value is the same. In this paper, we improved the entropy evaluation by changing the number of divisions of the evaluation area and applied it to the evaluation of silicon carbide grinding belts. As a result, there were few changes in the grinding belt, such as shedding and glazing, and there was no significant difference because no extreme distribution occurred. In the future, it will be necessary to conduct measurements on grinding wheels, which are prone to changes, and on different types of grinding belts to compare the results.