M. A. Huda, D. Haryono, H. Nugraha, A. Fitriani, Warsito Purwo Taruno
{"title":"Characterization of Magnetic Induction Coil Sensor for VOID Detection in Steel Plate","authors":"M. A. Huda, D. Haryono, H. Nugraha, A. Fitriani, Warsito Purwo Taruno","doi":"10.1109/ICoSTA48221.2020.1570610828","DOIUrl":null,"url":null,"abstract":"In this study, the characterization of the magnetic induction coil sensor for detecting void within the steel plate has been conducted. The study aims to evaluate the performance of coil designs in measuring some objects accurately. Experiments were performed by varying the frequency from 10 kHz to 2.5 MHz with an input voltage of 20 V. The results obtained show that all designs can distinguish air and normal steel objects by amplitude measurements. Only designs 3 and 4, however, can distinguish the normal and defect steels. Design 3 can differentiate them at the frequency of 250 kHz, while design 4 can distinguish at the frequency of 50 kHz. From different phase measurements, no significant differences are presented by all designs.","PeriodicalId":375166,"journal":{"name":"2020 International Conference on Smart Technology and Applications (ICoSTA)","volume":"269 0","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Smart Technology and Applications (ICoSTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICoSTA48221.2020.1570610828","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
In this study, the characterization of the magnetic induction coil sensor for detecting void within the steel plate has been conducted. The study aims to evaluate the performance of coil designs in measuring some objects accurately. Experiments were performed by varying the frequency from 10 kHz to 2.5 MHz with an input voltage of 20 V. The results obtained show that all designs can distinguish air and normal steel objects by amplitude measurements. Only designs 3 and 4, however, can distinguish the normal and defect steels. Design 3 can differentiate them at the frequency of 250 kHz, while design 4 can distinguish at the frequency of 50 kHz. From different phase measurements, no significant differences are presented by all designs.
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