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

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Berend Denkena
  • Haythem Boujnah
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Details

Original languageEnglish
Pages (from-to)423-426
Number of pages4
JournalCIRP annals
Volume67
Issue number1
Early online date24 May 2018
Publication statusPublished - 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.

Keywords

    Machine tool, Milling, Process control

ASJC Scopus subject areas

Cite this

Feeling machines for online detection and compensation of tool deflection in milling. / Denkena, Berend; Boujnah, Haythem.
In: CIRP annals, Vol. 67, No. 1, 2018, p. 423-426.

Research output: Contribution to journalArticleResearchpeer 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 May 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 ; Vol. 67, No. 1. pp. 423-426.
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