Artificial Wear for the Assessment of Monitoring Performance

Research output: Contribution to journalConference articleResearchpeer review

Authors

  • Berend Denkena
  • Benjamin Bergmann
  • Tobias H. Stiehl
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Details

Original languageEnglish
Pages (from-to)1023-1028
Number of pages6
JournalProcedia CIRP
Volume104
Early online date26 Nov 2021
Publication statusPublished - 2021
Event54th CIRP Conference on Manufacturing Systems (CMS 2021) - Patras, Greece
Duration: 22 Sept 202124 Sept 2021
Conference number: 54

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.

Keywords

    benchmark, flank wear, tool condition monitoring

ASJC Scopus subject areas

Cite this

Artificial Wear for the Assessment of Monitoring Performance. / Denkena, Berend; Bergmann, Benjamin; Stiehl, Tobias H.
In: Procedia CIRP, Vol. 104, 2021, p. 1023-1028.

Research output: Contribution to journalConference articleResearchpeer review

Denkena, B, Bergmann, B & Stiehl, TH 2021, 'Artificial Wear for the Assessment of Monitoring Performance', Procedia CIRP, vol. 104, pp. 1023-1028. https://doi.org/10.1016/j.procir.2021.11.172
Denkena, B., Bergmann, B., & Stiehl, T. H. (2021). Artificial Wear for the Assessment of Monitoring Performance. Procedia CIRP, 104, 1023-1028. https://doi.org/10.1016/j.procir.2021.11.172
Denkena B, Bergmann B, Stiehl TH. Artificial Wear for the Assessment of Monitoring Performance. Procedia CIRP. 2021;104:1023-1028. Epub 2021 Nov 26. doi: 10.1016/j.procir.2021.11.172
Denkena, Berend ; Bergmann, Benjamin ; Stiehl, Tobias H. / Artificial Wear for the Assessment of Monitoring Performance. In: Procedia CIRP. 2021 ; Vol. 104. pp. 1023-1028.
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Download

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AU - Bergmann, Benjamin

AU - Stiehl, Tobias H.

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PY - 2021

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