Poster + Paper
19 December 2022 New optical imaging system for determining wear criteria for cutting inserts
Author Affiliations +
Conference Poster
Abstract
In mechanical engineering, cutting tool wear is a major factor in the functional and parametric failure of a cutting tool. The loss of tool performance causes failures in the production of suitable products, as well as machine downtime. In this connection, accurate measurement of wear of the cutting wedge at various stages of the technological process is extremely important. The article proposes a method for recognizing wear zones on the back surfaces of cutting inserts by image processing. Indicators have been formed for assigning a failure criterion for various quality factors. For the formation of a measurement system, a three-stage control method with the rationale for operational recommendations is proposed. The correlation of wear by image processing has been compared with the optical method currently applied in manual mode, which greatly reduces the efficiency of production quality control.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Petr M. Pivkin, Vladimir A. Grechishnikov, Artem A. Ershov, and Alexey B. Nadykto "New optical imaging system for determining wear criteria for cutting inserts", Proc. SPIE 12319, Optical Metrology and Inspection for Industrial Applications IX, 1231926 (19 December 2022); https://doi.org/10.1117/12.2646535
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KEYWORDS
Modeling

Surface roughness

Data modeling

Computer aided design

Imaging systems

Optical imaging

Image processing

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