Anode electrochemical thermal modification of metals and alloys

Белкин, П. Н.

doi:10.3103/s1068375510060049

Cited by 34 publications

(34 citation statements)

References 5 publications

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“…These processes are used for surface finishing, including case hardening, nitriding and carbonitriding, [3,7,[17][18][19][20], surface oxidation [21][22][23][24][25], cleaning [26,27] and polishing [28][29][30] as well as stripping of defective coatings [6,31].…”

Section: Brief Characteristics Of Electrolytic Plasma Processesmentioning

confidence: 99%

“…For the anode EPPs, the electrode area ratio is less critical. Instead surface passivation of the working electrode is important which can lead to the growth of oxide films according to reaction (3), giving rise to a wide variety of PEO processes [47][48][49], or if (3) is overcome, to the surface cleaning and polishing to a mirror finish [50] as well as case hardening [51,52], nitriding [3] and coating stripping [6].…”

Section: Working Electrode Polaritymentioning

confidence: 99%

“…For PEO treatments, the type of metal substrate is of high importance as various oxides can be formed on the anode surface according to (3) [32]. Valve metals (Al, Ti, Mg, Ta, Zr) form n-type semiconductor oxide films due to the presence of anionic vacancies at the metal-oxide interface and a space charge region (SCR) within the film [57].…”

Section: Metal Substrate Type and The Main Voltage Drop In The Systemmentioning

confidence: 99%

“…EPHT [3,46] requires film boiling in the VGE. This results in thermal shielding of the working electrode; thus, the power dissipating in the VGE due to Joule heating contributes to a rapid increase of the surface temperature up to ~1000°C in several seconds [61].…”

Section: Processing Conditions and Required Surface Propertiesmentioning

confidence: 99%

“…Being a progression of conventional electrochemical treatments into high voltages, EPPs feature electrolyte boiling and/or discharging phenomena in the vicinity of the working electrode [3,4].…”

mentioning

confidence: 99%

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Towards smart electrolytic plasma technologies: An overview of methodological approaches to process modelling

Парфенов

Yerokhin

Nev’yantseva

et al. 2015

Surface and Coatings Technology

160

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Article:Parfenov, E.V., Yerokhin, A., Nevyantseva, R. ReuseUnless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy solely for the purpose of non-commercial research or private study within the limits of fair dealing. The publisher or other rights-holder may allow further reproduction and re-use of this version -refer to the White Rose Research Online record for this item. Where records identify the publisher as the copyright holder, users can verify any specific terms of use on the publisher's website. TakedownIf you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing eprints@whiterose.ac.uk including the URL of the record and the reason for the withdrawal request. 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.

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