Abstract
The article presents the results of basic research focused on the decohesion phenomenon characteristics of selected abrasive grains using acoustic emission signal patterns. On the basis of the recorded signals, their detailed analysis in the time-frequency domain and their characteristic harmonic components were selected. The method developed for estimating the similarity of the harmonic sequences will be further used in a comparative analysis with the degree of similarity of acoustic emission signal patterns to determine the type of grain in the decohesion process inducted by an external force or stress field. The proposed technique of grain recognition can be used in grinding wheel wear diagnostic systems, especially in cases where it is significant for supervision or inspection of cracking and chipping abrasive grain vertices.
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Sutowski, P., Nadolny, K. The identification of abrasive grains in the decohesion process by acoustic emission signal patterns. Int J Adv Manuf Technol 87, 437–450 (2016). https://doi.org/10.1007/s00170-016-8504-9
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DOI: https://doi.org/10.1007/s00170-016-8504-9