{"title":"A Novel Approach to Evaluate the Wear Behavior of CuO Doped Sintered Alumina Ceramics Using Image Processing Models","authors":"P. Haldar, T. K. Bhattacharya, N. Modak","doi":"10.1080/0371750X.2023.2223236","DOIUrl":null,"url":null,"abstract":"The present research describes the post wear SEM images of nano-CuO doped alumina ceramics in the light of three different image processing algorithms, viz. entropy analysis, Sobel edge detection techniques and entropy filtered image histogram analysis. The 2 wt% CuO doped sintered alumina has shown the best performance towards wearing due to maximum bulk density, hardness and fracture toughness. These materialistic properties are fitted to correlate with the lowest value of entropy and edge density index at the level of 2 wt% doping. The entropy filtered image histogram of 2 wt% doping is the closest to the Gaussian Bell shape distribution with the lowest skewness factor. These three-image computed methods validate their suitability in developing a real-life implementation for a possible wear resistance estimator. GRAPHICAL ABSTRACT","PeriodicalId":23233,"journal":{"name":"Transactions of the Indian Ceramic Society","volume":"82 1","pages":"187 - 194"},"PeriodicalIF":1.5000,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transactions of the Indian Ceramic Society","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1080/0371750X.2023.2223236","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATERIALS SCIENCE, CERAMICS","Score":null,"Total":0}
引用次数: 0
Abstract
The present research describes the post wear SEM images of nano-CuO doped alumina ceramics in the light of three different image processing algorithms, viz. entropy analysis, Sobel edge detection techniques and entropy filtered image histogram analysis. The 2 wt% CuO doped sintered alumina has shown the best performance towards wearing due to maximum bulk density, hardness and fracture toughness. These materialistic properties are fitted to correlate with the lowest value of entropy and edge density index at the level of 2 wt% doping. The entropy filtered image histogram of 2 wt% doping is the closest to the Gaussian Bell shape distribution with the lowest skewness factor. These three-image computed methods validate their suitability in developing a real-life implementation for a possible wear resistance estimator. GRAPHICAL ABSTRACT
期刊介绍：
Transactions of the Indian Ceramic Society is a quarterly Journal devoted to current scientific research, technology and industry-related news on glass and ceramics. The Journal covers subjects such as the chemical, mechanical, optical, electronic and spectroscopic properties of glass and ceramics, and characterization of materials belonging to this family.
The Editor invites original research papers, topical reviews, opinions and achievements, as well as industry profiles for publication. The contributions should be accompanied by abstracts, keywords and other details, as outlined in the Instructions for Authors section. News, views and other comments on activities of specific industries and organizations, and also analyses of industrial scenarios are also welcome.
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