{"title":"Numerical and experimental validation of tribological phenomenon in wind turbine brake pads using novel Archard's wear coefficient","authors":"Periyaswamy Kalidas, Vaira Vignesh Ramalingam, Govindaraju Myilsamy, Rajesh Kannan Kasi, A. Baghad","doi":"10.1177/13506501241249840","DOIUrl":null,"url":null,"abstract":"Designing effective mechanical brakes for wind turbines has been hindered by the historical reliance on simplistic criteria such as wear rate and friction coefficient for material selection. In this study, a novel approach to predicting wear rate was proposed, utilizing Archard's wear coefficient and considering factors such as material composition, hardness, sliding distance, and axial load. Furthermore, we developed a numerical model to simulate the tribological behavior of wind turbine brake pads, integrating the novel wear coefficient derived from a hybrid mathematical model with cubic and radial basis functions. This comprehensive approach bridges the gap between experimental data and theoretical insights, offering a robust framework for optimizing brake pad design and performance.","PeriodicalId":509096,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology","volume":"100 5","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/13506501241249840","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Designing effective mechanical brakes for wind turbines has been hindered by the historical reliance on simplistic criteria such as wear rate and friction coefficient for material selection. In this study, a novel approach to predicting wear rate was proposed, utilizing Archard's wear coefficient and considering factors such as material composition, hardness, sliding distance, and axial load. Furthermore, we developed a numerical model to simulate the tribological behavior of wind turbine brake pads, integrating the novel wear coefficient derived from a hybrid mathematical model with cubic and radial basis functions. This comprehensive approach bridges the gap between experimental data and theoretical insights, offering a robust framework for optimizing brake pad design and performance.