Process control for plasma electrolytic removal of TiN coatings

Парфенов, Е.В.; Nev’yantseva, R. R.; Gorbatkov, S.A.

doi:10.1016/j.surfcoat.2004.10.144

Cited by 16 publications

(10 citation statements)

References 2 publications

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“…Spectral analysis of the EPPo waveforms provides an effective bandwidth characterising EPP: from 0 to 10 kHz (Fig. 14); this is consistent with the data reported elsewhere [4,71,105,106]. Obtained from the power spectral density P, the time constant estimates for the short time scale in the EPP range from hundreds of 21 microseconds to hundreds of milliseconds (Table 1).…”

Section: Formalisation Possibilitiessupporting

confidence: 86%

“…Relationships among different EPPs discussed in [1] form a phenomenological basis for EPHT, PEO and other processes. A phenomenological model of coating stripping [78] can also be used to understand 12 various EPPs. Microdischarge evolution in the pores of oxide layers and oxide crystallisation phenomena during PEO processes have been discussed in [79][80][81].…”

Section: Model Classificationmentioning

confidence: 99%

“…9 and 10). The structure is a further development of the phenomenological model presented earlier [78]. The model considers integral EPP characteristics at a macro level for volumes substantially exceeding the Debye radius.…”

Section: Model Classificationmentioning

confidence: 99%

“…For a dynamic model the time variable should not appear in the input. Instead, within the phenomenological approach pursued here, dynamic models are obtained for finite 19 differences, and the time variable is included indirectly as a discrete time step as in [100].…”

Section: Formalisation Possibilitiesmentioning

confidence: 99%

“…central composite [78], fractional factorial [86] and full factorial [39,69], shows the following. The surface properties evolution analysis is seriously impeded if the experimental points are absent or shifted from the factor levels of the full factorial design.…”

Section: Regression Modelling and Design Of Experiments 22mentioning

confidence: 99%

See 4 more Smart Citations

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

Парфенов

Yerokhin

Nev’yantseva

et al. 2015

Surface and Coatings Technology

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155

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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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Section: Formalisation Possibilitiessupporting

confidence: 86%

Section: Model Classificationmentioning

confidence: 99%

Section: Model Classificationmentioning

confidence: 99%

Section: Formalisation Possibilitiesmentioning

confidence: 99%

Section: Regression Modelling and Design Of Experiments 22mentioning

confidence: 99%

See 3 more Smart Citations

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

Парфенов

Yerokhin

Nev’yantseva

et al. 2015

Surface and Coatings Technology

Self Cite

155

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Principle, process, and application of metal plasma electrolytic polishing: a review

Huang

Wang

Ding

et al. 2021

Int J Adv Manuf Technol

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Experimental study on ultrasonic-assisted electrolyte plasma polishing of SUS304 stainless steel

Chen

Jiang

Wang

et al. 2022

Int J Adv Manuf Technol

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A new method of ultrasonic assisted electrolyte plasma polishing (UEPP) is proposed to solve the problem that the oxidation layer generated on the anode workpiece surface in the process of Electrolytic Plasma and Polishing (EPP) cannot be removed completely, which affects the polishing e ciency and surface quality of the workpiece. Firstly, the polishing mechanism of UEPP is described and set up an experimental platform. Taking SUS304 stainless steel as the experimental object, comparative experiments of UEPP and EPP polishing are carried out to verify the bene cial effect of ultrasonic vibration on improving polishing e ciency and polishing quality. The results show that under the same polishing parameters, the introduction of ultrasonic vibration can improve the polishing e ciency by nearly 30%. After UEPP process, the workpiece has better surface texture, the number of surface scratches is greatly reduced, and lower surface roughness can be obtained. In addition, 40KHz is the best ultrasonic vibration parameter. The optimization experiments of UEPP polishing process parameters are further carried out. For SUS304 stainless steel, the optimal polishing process parameters are power supply voltage of 250V, polishing solution concentration of 4%wt, polishing solution temperature of 80℃ under 40KHz ultrasonic assisted conditions. The surface roughness of the experimental workpiece can be reduced from the initial Sa0.5μm to Sa0.02μm after 40 minutes of polishing under the optimized process parameters.

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Process control for plasma electrolytic removal of TiN coatings

Cited by 16 publications

References 2 publications

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

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

Principle, process, and application of metal plasma electrolytic polishing: a review

Experimental study on ultrasonic-assisted electrolyte plasma polishing of SUS304 stainless steel

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