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Titanium anodisation designed for surface colouration - Systemisation of parametric interaction using response surface methodology

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dc.contributor.author Balaji, U.
dc.contributor.author Pradhan, Siddhartha Kumar
dc.date.accessioned 2018-12-17T10:34:07Z
dc.date.available 2018-12-17T10:34:07Z
dc.date.issued 2018
dc.identifier.citation Materials And Design, 139, 2018: 409-418
dc.identifier.issn 0264-1275
dc.identifier.uri http://ore.immt.res.in/handle/2018/2450
dc.description Council of Scientific and Industrial Research, New Delhi through engineering science cluster project [ESC0401]; CSIR-Institute of Minerals and Materials Technology, Bhubaneswar [OLP55]
dc.description.abstract This work statistically examines the influence of operating parameters on the thin oxide layer developed during titaniumanodisation and the complexity of parameter interactions on the surface colouration. The optimal parametric combinations for obtaining desired oxide thickness and interference colours are investigated. A three parametric Doehlert experimental designwas employed for the purpose. Reliable regressionmodelswere developed for oxide thickness (Tmeas), and colour specification viz., lightness (L*) and hue angle (h) with determination coefficients of 0.970, 0.988 and 0.998, respectively. The three chosen parameters namely operating voltage (V), electrolyte concentration (C), and operating temperature (T) were found to have significant interactions during anodisationwhich are analysed through a response surface. The oxide thicknesswas found to be influenced by all three parameters. It was additionally found to have multiple optimal parametric combinations for a desirable outcome because of the interactions; the lightness was found to be significantly affected by the interactions of electrolyte concentration and operating temperature; the expected periodicity in hue angle, as reported in literature, persisted amidst parameter interactions with mild variations to the trend. Furthermore, interdependencies were found among the developed regression models. (C) 2017 Elsevier Ltd. All rights reserved.
dc.language en
dc.publisher Elsevier
dc.relation.isreferencedby SCI
dc.rights Copyright [2018]. All efforts have been made to respect the copyright to the best of our knowledge. Inadvertent omissions, if brought to our notice, stand for correction and withdrawal of document from this repository.
dc.subject Materials Sciences
dc.title Titanium anodisation designed for surface colouration - Systemisation of parametric interaction using response surface methodology
dc.type Journal Article
dc.affiliation.author CSIR-Institute of Minerals and Materials Technology, Bhubaneswar 751013, Odisha, India


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