{"title":"Dry Sliding Friction and Wear Behavior of LM13/Zircon/Carbon (HMMC’s): An Experimental, Statistical and Artificial Neural Network Approach","authors":"Y. P. Ravitej, C. B. Mohan, M. G. Ananthaprasad","doi":"10.24874/ti.1223.11.21.03","DOIUrl":null,"url":null,"abstract":"done using Minitab software where SN ratio, probability, ANOVA, and a regression model are analyzed. Obtained experimental wear properties are validated using artificial neural networks (ANN) by training the neurons where good agreement is obtained (R 2 = 0.98). Present research encapsulates the effect of different wear parameters like applied load, sliding speed, and sliding distance on the wear rate of LM13/zircon/C (hybrid metal matrix composites), and experimental wear results are correlated with artificial neural network (ANN) by training the algorithm.","PeriodicalId":23320,"journal":{"name":"Tribology in Industry","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tribology in Industry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24874/ti.1223.11.21.03","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 1
Abstract
done using Minitab software where SN ratio, probability, ANOVA, and a regression model are analyzed. Obtained experimental wear properties are validated using artificial neural networks (ANN) by training the neurons where good agreement is obtained (R 2 = 0.98). Present research encapsulates the effect of different wear parameters like applied load, sliding speed, and sliding distance on the wear rate of LM13/zircon/C (hybrid metal matrix composites), and experimental wear results are correlated with artificial neural network (ANN) by training the algorithm.
期刊介绍：
he aim of Tribology in Industry journal is to publish quality experimental and theoretical research papers in fields of the science of friction, wear and lubrication and any closely related fields. The scope includes all aspects of materials science, surface science, applied physics and mechanical engineering which relate directly to the subjects of wear and friction. Topical areas include, but are not limited to: Friction, Wear, Lubricants, Surface characterization, Surface engineering, Nanotribology, Contact mechanics, Coatings, Alloys, Composites, Tribological design, Biotribology, Green Tribology.
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