Feeling machines for online detection and compensation of tool deflection in milling

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autorschaft

  • Berend Denkena
  • Haythem Boujnah
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Details

OriginalspracheEnglisch
Seiten (von - bis)423-426
Seitenumfang4
FachzeitschriftCIRP annals
Jahrgang67
Ausgabenummer1
Frühes Online-Datum24 Mai 2018
PublikationsstatusVeröffentlicht - 2018

Abstract

In milling, the tool deflection negatively affects the accuracy of the workpiece geometry. Feeling machines with force sensing capabilities represent a promising enabler to detect and to compensate the deflection-related machining failures in real time. This paper gives an overview about current applications of feeling machine tools and developments of monitoring and compensation systems for tool deflection. At first, a method to integrate strain sensors within rigid machine tool structures is introduced. Secondly, the prototypical application within commercial milling centres is presented. Finally, two compensation strategies for tool deflection via feed- and position-based control are discussed and experimentally evaluated.

ASJC Scopus Sachgebiete

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Feeling machines for online detection and compensation of tool deflection in milling. / Denkena, Berend; Boujnah, Haythem.
in: CIRP annals, Jahrgang 67, Nr. 1, 2018, S. 423-426.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Denkena B, Boujnah H. Feeling machines for online detection and compensation of tool deflection in milling. CIRP annals. 2018;67(1):423-426. Epub 2018 Mai 24. doi: 10.1016/j.cirp.2018.04.110
Denkena, Berend ; Boujnah, Haythem. / Feeling machines for online detection and compensation of tool deflection in milling. in: CIRP annals. 2018 ; Jahrgang 67, Nr. 1. S. 423-426.
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