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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00003590naa a2200469 4500
001oai:DiVA.org:lnu-111251
003SwePub
008220502s2018 | |||||||||||000 ||eng|
024a https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-1112512 URI
024a https://doi.org/10.1007/s00170-017-1344-42 DOI
040 a (SwePub)lnu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Gomez-Gallegos, Ares Argelia,d 1983-u University of Strathclyde, UK4 aut0 (Swepub:lnu)argoaa
2451 0a 3D multiphysics model for the simulation of electrochemical machining of stainless steel (SS316)
264 c 2017-12-01
264 1b Springer,c 2018
338 a electronic2 rdacarrier
520 a In electrochemical machining (ECM)—a method that uses anodic dissolution to remove metal—it is extremely difficult to predict material removal and resulting surface finish due to the complex interaction between the numerous parameters available in the machining conditions. In this paper, it is argued that a 3D coupled multiphysics finite element model is a suitable way to further develop the ability to model the ECM process. This builds on the work of previous researchers and further claims that the overpotential available at the surface of the workpiece is a crucial factor in ensuring satisfactory results. As a validation example, a real-world problem for polishing via ECM of SS316 pipes is modelled and compared to empirical tests. Various physical and chemical effects, including those due to electrodynamics, fluid dynamic, and thermal and electrochemical phenomena, were incorporated in the 3D geometric model of the proposed tool, workpiece, and electrolyte. Predictions were made for current density, conductivity, fluid velocity, temperature, and crucially, with estimates of the deviations in overpotential. Results revealed a good agreement between simulation and experiment and these were sufficient not only to solve the immediate real problem presented but also to ensure that future additions to the technique could in the longer term lead to a better means of understanding a most useful manufacturing process.
650 7a TEKNIK OCH TEKNOLOGIERx Maskinteknikx Annan maskinteknik0 (SwePub)203992 hsv//swe
650 7a ENGINEERING AND TECHNOLOGYx Mechanical Engineeringx Other Mechanical Engineering0 (SwePub)203992 hsv//eng
653 a electrochemical machining
653 a finite element method
653 a multiphysics
653 a 3D simulation
653 a Stainless Steel 316
653 a surface finish
653 a Maskinteknik
653 a Mechanical Engineering
700a Mill, F.u The University of Edinburgh, UK4 aut
700a Mount, A. R.u The University of Edinburgh, UK4 aut
700a Duffield, S.u PECM Systems Ltd, UK4 aut
700a Sherlock, A.u The University of Edinburgh, UK4 aut
710a University of Strathclyde, UKb The University of Edinburgh, UK4 org
773t The International Journal of Advanced Manufacturing Technologyd : Springerg 95, s. 2959-2972q 95<2959-2972x 0268-3768x 1433-3015
856u https://doi.org/10.1007/s00170-017-1344-4y Fulltext
856u https://lnu.diva-portal.org/smash/get/diva2:1655507/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
856u https://link.springer.com/content/pdf/10.1007/s00170-017-1344-4.pdf
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-111251
8564 8u https://doi.org/10.1007/s00170-017-1344-4

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Gomez-Gallegos, ...
Mill, F.
Mount, A. R.
Duffield, S.
Sherlock, A.
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