Identification of new indicators for recognition of cutting grains and wear of the grinding wheel based on image recogntion

Petr M. Pivkin; Artem A. Ershov; Vladimir A. Grechisnikov; Elena Yu. Malysheva; Ekaterina S. Nazarenko; Alexey B. Nadykto

doi:10.1117/12.2646533

19 December 2022 Identification of new indicators for recognition of cutting grains and wear of the grinding wheel based on image recogntion

Petr M. Pivkin, Artem A. Ershov, Vladimir A. Grechisnikov, Elena Yu. Malysheva, Ekaterina S. Nazarenko, Alexey B. Nadykto

Author Affiliations +

Proceedings Volume 12319, Optical Metrology and Inspection for Industrial Applications IX; 1231924 (2022) https://doi.org/10.1117/12.2646533
Event: SPIE/COS Photonics Asia, 2022, Online Only

Conference Poster

Abstract

In this paper, a set of indicators for an effective assessment of the cutting ability of a grinding wheel was established based on the detection of the degree of filling and immersion of abrasive edges. It has been pointed out that a profile of a populated circle has a direct correlation with the average number of recognized faces. A new indicators for measuring zones with active edges and their distribution on the surface of a grinding wheel was developed, which can be identified by the models algorithms, is formed

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Petr M. Pivkin, Artem A. Ershov, Vladimir A. Grechisnikov, Elena Yu. Malysheva, Ekaterina S. Nazarenko, and Alexey B. Nadykto "Identification of new indicators for recognition of cutting grains and wear of the grinding wheel based on image recogntion", Proc. SPIE 12319, Optical Metrology and Inspection for Industrial Applications IX, 1231924 (19 December 2022); https://doi.org/10.1117/12.2646533

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