Details
Original language | English |
---|---|
Pages (from-to) | 751-774 |
Number of pages | 24 |
Journal | CIRP annals |
Volume | 68 |
Issue number | 2 |
Publication status | Published - 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
- Engineering(all)
- Mechanical Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: CIRP annals, Vol. 68, No. 2, 11.07.2019, p. 751-774.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Visualization of electro-physical and chemical machining processes
AU - Kunieda, Masanori
AU - Overmeyer, Ludger
AU - Klink, Andreas
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.
PY - 2019/7/11
Y1 - 2019/7/11
N2 - 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.
AB - 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.
KW - In-process measurement
KW - Process monitoring
KW - Visualization
UR - http://www.scopus.com/inward/record.url?scp=85068576031&partnerID=8YFLogxK
U2 - 10.1016/j.cirp.2019.05.011
DO - 10.1016/j.cirp.2019.05.011
M3 - Article
AN - SCOPUS:85068576031
VL - 68
SP - 751
EP - 774
JO - CIRP annals
JF - CIRP annals
SN - 0007-8506
IS - 2
ER -