Experimental setup for the investigation of the transport of different gas bubble sizes during electrochemical machining based on similarity theory using particle image velocimetry Article Swipe
E. Tchoupe
,
L. Heidemanns
,
A. Klink
,
Tim Herrig
,
Michael Klaas
,
Daniel Lauwers
,
Wolfgang Schröder
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.procir.2022.09.193
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.procir.2022.09.193
The major advantage of electrochemical machining (ECM) is the ability to machine materials regardless of their mechanical properties such as hardness or temperature resistance. This property of the ECM process makes it ideal for processing difficult-to-machine materials such as high-performance nickel-based alloys and single-crystal alloys. However, it is difficult to predict a priori the appropriate tool electrode for a given workpiece contour. This is not only due to the constantly changing properties of the electrolyte during machining, but also to the transient nature of the working gap. To simplify tool design in ECM, a better understanding of the various phenomena that occur, such as gas formation and its propagation in the working gap, is necessary. This paper presents an experimental investigation of the transport of different gas bubble sizes during ECM by up-scaling the working gap according to the principles of similarity theory. The multiphase flow is analyzed using 3D particle image velocimetry, which will serve for validation of future simulation models.
Related Topics
Concepts
Machining
Particle image velocimetry
Electrochemical machining
Materials science
Mechanical engineering
Similarity (geometry)
Bubble
Particle (ecology)
Impeller
Mechanics
Electrode
Computer science
Electrolyte
Engineering drawing
Artificial intelligence
Engineering
Metallurgy
Image (mathematics)
Chemistry
Physics
Oceanography
Geology
Turbulence
Physical chemistry
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.procir.2022.09.193
- OA Status
- diamond
- Cited By
- 4
- References
- 21
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4312941535
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4312941535Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.procir.2022.09.193Digital Object Identifier
- Title
-
Experimental setup for the investigation of the transport of different gas bubble sizes during electrochemical machining based on similarity theory using particle image velocimetryWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-01Full publication date if available
- Authors
-
E. Tchoupe, L. Heidemanns, A. Klink, Tim Herrig, Michael Klaas, Daniel Lauwers, Wolfgang SchröderList of authors in order
- Landing page
-
https://doi.org/10.1016/j.procir.2022.09.193Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.procir.2022.09.193Direct OA link when available
- Concepts
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Machining, Particle image velocimetry, Electrochemical machining, Materials science, Mechanical engineering, Similarity (geometry), Bubble, Particle (ecology), Impeller, Mechanics, Electrode, Computer science, Electrolyte, Engineering drawing, Artificial intelligence, Engineering, Metallurgy, Image (mathematics), Chemistry, Physics, Oceanography, Geology, Turbulence, Physical chemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1, 2023: 3Per-year citation counts (last 5 years)
- References (count)
-
21Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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