Fusion of Multi Frequency Nearfield Imaging data for Dielectric Composite Materials Evaluation

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.
介质复合材料评价中多频近场成像数据融合
复合材料由于其独特的性能,在各个行业中的使用正在迅速增加。虽然复合材料具有比金属更好的损伤容忍度和耐腐蚀性,但缺陷的存在会严重影响材料的完整性和强度。提出了一种适合多层复合材料评价的多频近场微波成像系统。该系统在提高图像质量的同时,采用多频信号的数据融合技术。结果表明,该系统能够准确检测复合材料中多种常见缺陷,是一种具有实际应用价值的材料评价工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信