{"title":"Modeling of Magnetorheological Fluids Relative Magnetic Permeability by using a Neural Network approach","authors":"P. Kowol, M. Szczygieł, G. Lo Sciuto, G. Capizzi","doi":"10.1109/MELECON48756.2020.9140517","DOIUrl":null,"url":null,"abstract":"In this paper, starting from the experimental data obtained with an empirical measurement device developed for this purpose, it has been determined a simple and accurate model (based on a small number of parameters) that allows to represent the relative magnetic permeability of the magneto-rheological fluids as a function of the magnetic field in which it is immersed in. The model thus obtained is in excellent agreement with the experimental data. In fact the obtained error is approximately of 8%.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MELECON48756.2020.9140517","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
In this paper, starting from the experimental data obtained with an empirical measurement device developed for this purpose, it has been determined a simple and accurate model (based on a small number of parameters) that allows to represent the relative magnetic permeability of the magneto-rheological fluids as a function of the magnetic field in which it is immersed in. The model thus obtained is in excellent agreement with the experimental data. In fact the obtained error is approximately of 8%.