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A novel approach to determine the velocity dependency of the friction behavior during machining by means of digital particle image velocimetry (DPIV)

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autorschaft

  • Berend Denkena
  • Alexander Krödel
  • Sascha Beblein

Details

OriginalspracheEnglisch
Seiten (von - bis)81-90
Seitenumfang10
FachzeitschriftCIRP Journal of Manufacturing Science and Technology
Jahrgang32
Frühes Online-Datum10 Dez. 2020
PublikationsstatusVeröffentlicht - Jan. 2021

Abstract

The current state of the art shows that the friction behavior during machining is not yet sufficiently understood and that there is still a need for further research. This represents a major obstacle to the successful further development of friction models for chip formation simulations. Therefore, a novel method for the analysis of friction mechanisms in machining via high-speed chip formation recordings is presented in this study. Within the frame of the investigations, a significant influence of the sliding velocity of the chip on the coefficient of friction could be determined over a wide range of different coating properties and cutting velocities.

ASJC Scopus Sachgebiete

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A novel approach to determine the velocity dependency of the friction behavior during machining by means of digital particle image velocimetry (DPIV). / Denkena, Berend; Krödel, Alexander; Beblein, Sascha.
in: CIRP Journal of Manufacturing Science and Technology, Jahrgang 32, 01.2021, S. 81-90.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Denkena B, Krödel A, Beblein S. A novel approach to determine the velocity dependency of the friction behavior during machining by means of digital particle image velocimetry (DPIV). CIRP Journal of Manufacturing Science and Technology. 2021 Jan;32:81-90. Epub 2020 Dez 10. doi: 10.1016/j.cirpj.2020.11.007
Denkena, Berend ; Krödel, Alexander ; Beblein, Sascha. / A novel approach to determine the velocity dependency of the friction behavior during machining by means of digital particle image velocimetry (DPIV). in: CIRP Journal of Manufacturing Science and Technology. 2021 ; Jahrgang 32. S. 81-90.
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AU - Denkena, Berend

AU - Krödel, Alexander

AU - Beblein, Sascha

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