Visualization of electro-physical and chemical machining processes

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Masanori Kunieda
  • Ludger Overmeyer
  • Andreas Klink

External Research Organisations

  • University of Tokyo
  • RWTH Aachen University
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Details

Original languageEnglish
Pages (from-to)751-774
Number of pages24
JournalCIRP annals
Volume68
Issue number2
Publication statusPublished - 11 Jul 2019

Abstract

This paper aims to visualize spatio-temporal phenomena in electro physical and chemical processes in order to understand machining mechanisms and to achieve a technological breakthrough. In situ measurement methods to visualize the time evolution of stress, strain, temperatures, fluid velocities, and species density distributions, together with 2D or 3D images of the workpieces being processed are summarized. Applications of these methods to fundamental studies on electrical discharge machining, electrochemical machining, laser processing and additive manufacturing are introduced. Signal recording and processing technologies and real time monitoring enabling closed-loop feedback control are also discussed.

Keywords

    In-process measurement, Process monitoring, Visualization

ASJC Scopus subject areas

Cite this

Visualization of electro-physical and chemical machining processes. / Kunieda, Masanori; Overmeyer, Ludger; Klink, Andreas.
In: CIRP annals, Vol. 68, No. 2, 11.07.2019, p. 751-774.

Research output: Contribution to journalArticleResearchpeer review

Kunieda M, Overmeyer L, Klink A. Visualization of electro-physical and chemical machining processes. CIRP annals. 2019 Jul 11;68(2):751-774. doi: 10.1016/j.cirp.2019.05.011
Kunieda, Masanori ; Overmeyer, Ludger ; Klink, Andreas. / Visualization of electro-physical and chemical machining processes. In: CIRP annals. 2019 ; Vol. 68, No. 2. pp. 751-774.
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N1 - Funding information: The authors would like to acknowledge the following colleagues who contributed to this paper: Prof. Yoshiro Ito, Nagaoka University of Technology, Prof. Shinya Hayakawa, Nagoya Institute of Technology, Prof. Jean-Pierre Kruth, Katholieke Universiteit Leuven, Prof. Rocco Lupoi, The University of Dublin, Prof. Wataru Natsu, Tokyo University of Agriculture and Technology, Prof. Frank E. Pfefferkorn, University of Wisconsin-Madison, Prof. Michael Schmidt, Friedrich-Alexander-Universität Erlangen-Nürnberg, Prof. Panagiotis Stavropoulos, University of Patras, and Prof. Rie Yamagishi, Fukuoka Institute of Technology. The authors would also like to thank Timm Petersen from WZL, RWTH Aachen University (funded by DFG (German Research Foundation) – Project no. 223500200 – TRR 136, subprojects F02 and F03 for this work), Gerd Hoffmann from ITA, Leibniz Universität Hannover, and Niklas Gerdes from Laser Zentrum Hannover for their help in writing and preparing this manuscript.

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