利用脉冲压缩有利分析方法对玻璃纤维增强聚合物复合材料进行无损检测和评估

IF 0.9 4区 材料科学 Q4 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Russian Journal of Nondestructive Testing Pub Date : 2024-08-23 DOI:10.1134/S1061830924601624
Geetika Dua, Vanita Arora, Ravibabu Mulaveesala
{"title":"利用脉冲压缩有利分析方法对玻璃纤维增强聚合物复合材料进行无损检测和评估","authors":"Geetika Dua,&nbsp;Vanita Arora,&nbsp;Ravibabu Mulaveesala","doi":"10.1134/S1061830924601624","DOIUrl":null,"url":null,"abstract":"<p>This paper presents an innovative approach to improve the accuracy and resolution of defect detection in glass fiber-reinforced plastic (GFRP) composites using pulse compression analysis for thermal wave imaging. GFRP materials, widely utilized in various industries owing to lightweight and durable properties, often present challenges in identifying subsurface defects. Traditional thermal wave imaging techniques face limitations in achieving high-resolution results. The study outlines the theoretical foundation of pulse compression and its application in thermal wave inspection. A comprehensive experimental setup was designed to validate the effectiveness of the proposed methodology. Results indicate a significant improvement in the localization and characterization of defects within GFRP composites. The findings of this research hold implications for nondestructive testing and quality control in industries relying on GFRP materials. The integration of pulse compression analysis into thermal wave imaging establishes a promising avenue for precise defect detection, contributing to the reliability and integrity of GFRP composite structures. Also, two key metrics, absolute thermal contrast and signal-to-background contrast, are used for quantitative analysis.</p>","PeriodicalId":764,"journal":{"name":"Russian Journal of Nondestructive Testing","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Nondestructive Testing and Evaluation of Glass Fiber Reinforced Polymer Composites Using Pulse Compression Favorable Analysis Approach\",\"authors\":\"Geetika Dua,&nbsp;Vanita Arora,&nbsp;Ravibabu Mulaveesala\",\"doi\":\"10.1134/S1061830924601624\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This paper presents an innovative approach to improve the accuracy and resolution of defect detection in glass fiber-reinforced plastic (GFRP) composites using pulse compression analysis for thermal wave imaging. GFRP materials, widely utilized in various industries owing to lightweight and durable properties, often present challenges in identifying subsurface defects. Traditional thermal wave imaging techniques face limitations in achieving high-resolution results. The study outlines the theoretical foundation of pulse compression and its application in thermal wave inspection. A comprehensive experimental setup was designed to validate the effectiveness of the proposed methodology. Results indicate a significant improvement in the localization and characterization of defects within GFRP composites. The findings of this research hold implications for nondestructive testing and quality control in industries relying on GFRP materials. The integration of pulse compression analysis into thermal wave imaging establishes a promising avenue for precise defect detection, contributing to the reliability and integrity of GFRP composite structures. Also, two key metrics, absolute thermal contrast and signal-to-background contrast, are used for quantitative analysis.</p>\",\"PeriodicalId\":764,\"journal\":{\"name\":\"Russian Journal of Nondestructive Testing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2024-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Russian Journal of Nondestructive Testing\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://link.springer.com/article/10.1134/S1061830924601624\",\"RegionNum\":4,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MATERIALS SCIENCE, CHARACTERIZATION & TESTING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Russian Journal of Nondestructive Testing","FirstCategoryId":"88","ListUrlMain":"https://link.springer.com/article/10.1134/S1061830924601624","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATERIALS SCIENCE, CHARACTERIZATION & TESTING","Score":null,"Total":0}
引用次数: 0

摘要

摘要 本文介绍了一种利用脉冲压缩分析热波成像技术提高玻璃纤维增强塑料 (GFRP) 复合材料缺陷检测精度和分辨率的创新方法。玻璃纤维增强塑料(GFRP)材料因其轻质耐用的特性被广泛应用于各行各业,但在识别表面下缺陷方面却经常面临挑战。传统的热波成像技术在获得高分辨率结果方面存在局限性。本研究概述了脉冲压缩的理论基础及其在热波检测中的应用。为验证所提方法的有效性,设计了一个综合实验装置。结果表明,GFRP 复合材料中缺陷的定位和特征描述有了明显改善。这项研究成果对依赖 GFRP 材料的行业的无损检测和质量控制具有重要意义。将脉冲压缩分析与热波成像技术相结合,为精确检测缺陷开辟了一条大有可为的途径,有助于提高 GFRP 复合材料结构的可靠性和完整性。此外,绝对热对比度和信号与背景对比度这两个关键指标也被用于定量分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Nondestructive Testing and Evaluation of Glass Fiber Reinforced Polymer Composites Using Pulse Compression Favorable Analysis Approach

This paper presents an innovative approach to improve the accuracy and resolution of defect detection in glass fiber-reinforced plastic (GFRP) composites using pulse compression analysis for thermal wave imaging. GFRP materials, widely utilized in various industries owing to lightweight and durable properties, often present challenges in identifying subsurface defects. Traditional thermal wave imaging techniques face limitations in achieving high-resolution results. The study outlines the theoretical foundation of pulse compression and its application in thermal wave inspection. A comprehensive experimental setup was designed to validate the effectiveness of the proposed methodology. Results indicate a significant improvement in the localization and characterization of defects within GFRP composites. The findings of this research hold implications for nondestructive testing and quality control in industries relying on GFRP materials. The integration of pulse compression analysis into thermal wave imaging establishes a promising avenue for precise defect detection, contributing to the reliability and integrity of GFRP composite structures. Also, two key metrics, absolute thermal contrast and signal-to-background contrast, are used for quantitative analysis.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Russian Journal of Nondestructive Testing
Russian Journal of Nondestructive Testing 工程技术-材料科学:表征与测试
CiteScore
1.60
自引率
44.40%
发文量
59
审稿时长
6-12 weeks
期刊介绍: Russian Journal of Nondestructive Testing, a translation of Defectoskopiya, is a publication of the Russian Academy of Sciences. This publication offers current Russian research on the theory and technology of nondestructive testing of materials and components. It describes laboratory and industrial investigations of devices and instrumentation and provides reviews of new equipment developed for series manufacture. Articles cover all physical methods of nondestructive testing, including magnetic and electrical; ultrasonic; X-ray and Y-ray; capillary; liquid (color luminescence), and radio (for materials of low conductivity).
期刊最新文献
Erratum to: Analysis of Weak Signal Detection Based on Tri-Stable System under Poisson White Noise Nondestructive Detection of Wire Rope Damage Using Leakage Magnetic Technique based on Dual-Layer Sensors Erratum to: Solid Particle Erosion Behaviour of Laser Sintered Heat Treated Ti–6Al–4V Alloy Enhanced Electromagnetic Near Field Probe for Diagnosis and Materials Characterization Some Cases of Explicit Expression of the Intensity of the Resulting Field of Magnets Placed in the Field of External Sources
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1