LAPSE:2023.1307
Published Article
LAPSE:2023.1307
Turned Surface Monitoring Using a Confocal Sensor and the Tool Wear Process Optimization
February 21, 2023
Abstract
Laser scanning technology has been used for several years. Nevertheless, no comprehensive study has been conducted to prove that the application of confocal chromatic sensor (CCHS) laser technology is effective and suitable to verify the integrity parameters of machined surfaces in terms of cutting tool damage. In this paper, the optimization and effects of five factors (cutting speed, feed, depth of cut, attachment length of the workpiece, and tip radius) on the roundness deviation measured by CCHS and, at the same time, on the amount of wear on the back side of the cutting part of the tool were studied according to ISO 3685, which was measured with a microscope. The results obtained were evaluated using the gray relational analysis method (GRA), in conjunction with the Taguchi method, and the significance of the factors was demonstrated using the analysis of variance (ANOVA) method.
Keywords
ANOVA, confocal chromatic sensor (CCHS), cutting tool wear, gray relational analysis, Taguchi method, turning
Suggested Citation
Jurko J, Miškiv-Pavlík M, Husár J, Michalik P. Turned Surface Monitoring Using a Confocal Sensor and the Tool Wear Process Optimization. (2023). LAPSE:2023.1307
Author Affiliations
Jurko J: Department of Industrial Engineering and Informatics, Faculty of Manufacturing Technologies, Technical University of Košice, Bayerova 1, 08001 Prešov, Slovakia [ORCID]
Miškiv-Pavlík M: Department of Industrial Engineering and Informatics, Faculty of Manufacturing Technologies, Technical University of Košice, Bayerova 1, 08001 Prešov, Slovakia [ORCID]
Husár J: Department of Industrial Engineering and Informatics, Faculty of Manufacturing Technologies, Technical University of Košice, Bayerova 1, 08001 Prešov, Slovakia [ORCID]
Michalik P: Department of Automotive and Manufacturing Technologies, Faculty of Manufacturing Technologies, Technical University of Košice, Štúrova 31, 08001 Prešov, Slovakia
Journal Name
Processes
Volume
10
Issue
12
First Page
2599
Year
2022
Publication Date
2022-12-05
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr10122599, Publication Type: Journal Article
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LAPSE:2023.1307
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https://doi.org/10.3390/pr10122599
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Feb 21, 2023
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