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The need for digitalisation in electroplating – How digital approaches can help to optimize the electrodeposition of chromium from trivalent electrolytes

  • In order to make material design processes more efficient in the future, the underlying multidimensional process parameter spaces must be systematically explored using digitalisation techniques such as machine learning (ML) and digital simulation. In this paper we shortly review essential concepts for the digitalisation of electrodeposition processes with a special focus on chromium plating fromIn order to make material design processes more efficient in the future, the underlying multidimensional process parameter spaces must be systematically explored using digitalisation techniques such as machine learning (ML) and digital simulation. In this paper we shortly review essential concepts for the digitalisation of electrodeposition processes with a special focus on chromium plating from trivalent electrolytes.show moreshow less

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Metadaten
Document Type:Article (unreviewed)
Zitierlink: https://opus.hs-offenburg.de/5181
Bibliografische Angaben
Title (English):The need for digitalisation in electroplating – How digital approaches can help to optimize the electrodeposition of chromium from trivalent electrolytes
Author:Adriana Ispas, Andreas Bund, Timo Sörgel, Ricardo Büttner, Hermann Baumgartl, Thomas SeifertStaff MemberORCiDGND, Martin Metzner, Katja Feige, Anna Endrikat, Martin Leimbach
Year of Publication:2021
Creating Corporation:DGO-Fachausschuss Forschung
Place of publication:Hilden
First Page:1
Last Page:11
Parent Title (English):Journal for Electrochemistry and Plating Technology
ISSN:1866-7406
DOI:https://doi.org/10.12850/ISSN2196-0267.JEPT7147
URL:https://www.jept.de/wp-content/uploads/PoDEpubFlash/7147.pdf
Language:English
Inhaltliche Informationen
Institutes:Fakultät Maschinenbau und Verfahrenstechnik (M+V)
Institutes:Bibliografie
DDC classes:500 Naturwissenschaften und Mathematik / 540 Chemie
Tag:Digital Simulation; Digitalisation; Electroplating; Machine Learning; Ontology; Trivalent Cr electrolytes
Formale Angaben
Open Access: Open Access 
Licence (German):License LogoUrheberrechtlich geschützt