Xuhui Huang, Lei Peng, Subrata Mukherjee, C. Hamilton, Xiaodong Shi, Vijay Srinivason, Eric Davis, Y. Deng
{"title":"Fusion of Multi Frequency Nearfield Imaging data for Dielectric Composite Materials Evaluation","authors":"Xuhui Huang, Lei Peng, Subrata Mukherjee, C. Hamilton, Xiaodong Shi, Vijay Srinivason, Eric Davis, Y. Deng","doi":"10.32548/rs.2022.042","DOIUrl":null,"url":null,"abstract":"Composite material usage is rapidly increasing within various industries due to their unique properties. Though having better damage tolerance and corrosion resistance than metals, the presence of defects in composites may significantly affect the material’s integrity and strength. This paper presents a multi-frequency nearfield microwave imaging system tailored to evaluate multi-layered composite materials. The system employs data fusion techniques utilizing multi-frequency signals while improving image quality. Results show the system’s penitential for accurately detecting multiple common defects within composite materials, making it a great material evaluation tool for practical applications.","PeriodicalId":367504,"journal":{"name":"ASNT 30th Research Symposium Conference Proceedings","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ASNT 30th Research Symposium Conference Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32548/rs.2022.042","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
Composite material usage is rapidly increasing within various industries due to their unique properties. Though having better damage tolerance and corrosion resistance than metals, the presence of defects in composites may significantly affect the material’s integrity and strength. This paper presents a multi-frequency nearfield microwave imaging system tailored to evaluate multi-layered composite materials. The system employs data fusion techniques utilizing multi-frequency signals while improving image quality. Results show the system’s penitential for accurately detecting multiple common defects within composite materials, making it a great material evaluation tool for practical applications.