Recent studies have shown that the cutting edge spacing and density of abrasive grains on the grinding tool surface affect the accuracy and tool life of grinding tools. However, studies on the effects of dispersion on the abrasive grain distribution have not yet been conducted. In this study, it was shown that the machining ability of a tool can be evaluated and tool life can be determined using an index of normalized information entropy for abrasive grain dispersion. However, it was difficult to continuously obtain transfer images with different loadings during the measurement of the abrasive grain distribution. Additionally, it has been revealed that in entropy evaluation, the evaluation values may remain the same even when the distribution state changes. Therefore, in this study, a device was developed to obtain a transferred image by continuously changing the loading conditions. We also examine the change in the number of divisions in the evaluation region to modify the entropy evaluation. To demonstrate the effectiveness of the proposed method, models with varying abrasive grain numbers and distributions were prepared, and the abrasive grain distributions were evaluated. After studying the entropy evaluation by simulation, an evaluation of a grinding belt in a processing experiment was conducted. It was demonstrated that evaluation using information entropy is possible in all cases by employing a method that decreases the number of divisions in the evaluation region.

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