Artificial Wear for the Assessment of Monitoring Performance

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Denkena, B.; Bergmann, B.; Stiehl, T.H.: Artificial Wear for the Assessment of Monitoring Performance. In: Procedia CIRP 104 (2021), S. 1023-1028. DOI: https://doi.org/10.1016/j.procir.2021.11.172

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Sum total of downloads: 27




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Abstract: 
Various tool condition monitoring systems exist, that can increase machine availability and process reliability. Assessing and comparing their performance, however, requires high expenditure due to real process failures being scarce, too different or costly to reproduce. Hence, this paper investigates the reproducible simulation of flank wear. It introduces and validates a geometry for indexable inserts that results in process changes similar to those caused by natural flank wear. The validation considers turning processes with different feeds, depth of cut and cutting speeds in steel. Results demonstrate that the proposed geometry for indexable inserts affects process forces similar to natural flank wear.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2021
Appears in Collections:Fakultät für Maschinenbau

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pos. country downloads
total perc.
1 image of flag of Germany Germany 15 55.56%
2 image of flag of United States United States 9 33.33%
3 image of flag of Latvia Latvia 2 7.41%
4 image of flag of Europe Europe 1 3.70%

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