Parfenov, E.V., Yerokhin, A., Nevyantseva, R.R. et al. (3 more authors) (2015) Towards smart electrolytic plasma technologies: An overview of methodological approaches to process modelling. Surface and Coatings Technology, 269. 2 - 22. ISSN 0257-8972
Abstract
This paper reviews the present understanding of electrolytic plasma processes (EPPs) and approaches to their modelling. Based on the EPP type, characteristics and classification, it presents a generalised phenomenological model as the most appropriate one from the process diagnostics and control point of view. The model describes the system ‘power supply–electrolyser–electrode surface’ as a system with lumped parameters characterising integral properties of the surface layer and integral parameters of the EPP. The complexity of EPPs does not allow the drawing of a set of differential equations describing the treatment, although a model can be formalised for a particular process as a black box regression. Evaluation of dynamic properties reveals the multiscale nature of electrolytic plasma processes, which can be described by three time constants separated by 2–3 orders of magnitude (minutes, seconds and milliseconds), corresponding to different groups of characteristics in the model. Further developments based on the phenomenological approach and providing deeper insights into EPPs are proposed using frequency response methodology and electromagnetic field modelling. Examples demonstrating the efficiency of the proposed approach are supplied for EPP modelling with static and dynamic neural networks, frequency response evaluations and electromagnetic field calculations.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 Elsevier B.V. This is an author produced version of a paper subsequently published in Surface and Coatings Technology. Uploaded in accordance with the publisher's self-archiving policy. Available under the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/3.0/) |
Keywords: | Electrolytic plasma processing; Smart technology; Phenomenological model; Process diagnostics and control; Frequency response |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Materials Science and Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 17 Jun 2015 08:33 |
Last Modified: | 14 Apr 2017 05:01 |
Published Version: | http://dx.doi.org/10.1016/j.surfcoat.2015.02.019 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.surfcoat.2015.02.019 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:87137 |