Development of a thermal excitation source used in an active thermographic UAV platform

IF 3.7 3区 工程技术 Q1 INSTRUMENTS & INSTRUMENTATION Quantitative Infrared Thermography Journal Pub Date : 2022-06-03 DOI:10.1080/17686733.2022.2056987
Shakeb Deane, N. Avdelidis, C. Ibarra-Castanedo, Alex A. Williamson, Stephen Withers, A. Zolotas, X. Maldague, M. Ahmadi, Shashank Pant, M. Genest, Hobivola A. Rabearivelo, A. Tsourdos
{"title":"Development of a thermal excitation source used in an active thermographic UAV platform","authors":"Shakeb Deane, N. Avdelidis, C. Ibarra-Castanedo, Alex A. Williamson, Stephen Withers, A. Zolotas, X. Maldague, M. Ahmadi, Shashank Pant, M. Genest, Hobivola A. Rabearivelo, A. Tsourdos","doi":"10.1080/17686733.2022.2056987","DOIUrl":null,"url":null,"abstract":"ABSTRACT This work aims to address the effectiveness and challenges of using active infrared thermography (IRT) onboard an unmanned aerial vehicle (UAV) platform. The work seeks to assess the performance of small low-powered forms of excitation which are suitable for active thermography and the ability to locate subsurface defects on composites. An excitation source in multiple 250 W lamps is mounted onto a UAV and is solely battery powered with a remote trigger to power cycle them. Multiple experiments address the interference from the UAV whilst performing an active IRT inspection. The optimal distances and time required for a UAV inspection using IRT are calculated. Multiple signal processing techniques are used to analyse the composites which help locate the sub-surface defects. It was observed that a UAV can successfully carry the required sensors and equipment for an Active thermographic NDT inspection which can provide access to difficult areas. Most active thermographic inspection equipment is large, heavy, and expensive. Furthermore, using such equipment for the inspection of complex structures is time-consuming. For example, a cherry picker would be required to inspect the tail of an aircraft. This solution looks to assist engineers in inspecting complex composite structures and could potentially significantly reduce the time and cost of a routine inspection.","PeriodicalId":54525,"journal":{"name":"Quantitative Infrared Thermography Journal","volume":"20 1","pages":"198 - 229"},"PeriodicalIF":3.7000,"publicationDate":"2022-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quantitative Infrared Thermography Journal","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/17686733.2022.2056987","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INSTRUMENTS & INSTRUMENTATION","Score":null,"Total":0}
引用次数: 12

Abstract

ABSTRACT This work aims to address the effectiveness and challenges of using active infrared thermography (IRT) onboard an unmanned aerial vehicle (UAV) platform. The work seeks to assess the performance of small low-powered forms of excitation which are suitable for active thermography and the ability to locate subsurface defects on composites. An excitation source in multiple 250 W lamps is mounted onto a UAV and is solely battery powered with a remote trigger to power cycle them. Multiple experiments address the interference from the UAV whilst performing an active IRT inspection. The optimal distances and time required for a UAV inspection using IRT are calculated. Multiple signal processing techniques are used to analyse the composites which help locate the sub-surface defects. It was observed that a UAV can successfully carry the required sensors and equipment for an Active thermographic NDT inspection which can provide access to difficult areas. Most active thermographic inspection equipment is large, heavy, and expensive. Furthermore, using such equipment for the inspection of complex structures is time-consuming. For example, a cherry picker would be required to inspect the tail of an aircraft. This solution looks to assist engineers in inspecting complex composite structures and could potentially significantly reduce the time and cost of a routine inspection.
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
用于主动热成像无人机平台的热激发源的研制
本工作旨在解决在无人机(UAV)平台上使用主动红外热像仪(IRT)的有效性和挑战。这项工作旨在评估小型低功率激励形式的性能,这些激励形式适用于主动热成像和定位复合材料表面下缺陷的能力。多个250瓦灯的激励源安装在无人机上,完全由电池供电,并配有远程触发器来循环供电。多个实验处理来自无人机的干扰,同时执行主动红外热成像检查。计算了利用IRT进行无人机检测所需的最佳距离和时间。采用多种信号处理技术对复合材料进行分析,有助于定位亚表面缺陷。据观察,一架无人机可以成功地携带所需的传感器和设备进行主动热成像无损检测,可以提供进入困难区域的通道。大多数主动热成像检测设备体积大、重量重、价格昂贵。此外,使用这种设备对复杂结构进行检测非常耗时。例如,一名樱桃采摘员将被要求检查飞机的尾部。该解决方案旨在帮助工程师检查复杂的复合材料结构,并可能显著减少常规检查的时间和成本。
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 去求助
来源期刊
Quantitative Infrared Thermography Journal
Quantitative Infrared Thermography Journal Physics and Astronomy-Instrumentation
CiteScore
6.80
自引率
12.00%
发文量
17
审稿时长
>12 weeks
期刊介绍: The Quantitative InfraRed Thermography Journal (QIRT) provides a forum for industry and academia to discuss the latest developments of instrumentation, theoretical and experimental practices, data reduction, and image processing related to infrared thermography.
期刊最新文献
Automatic segmentation of microporous defects in composite film materials based on the improved attention U-Net module A deep learning based experimental framework for automatic staging of pressure ulcers from thermal images Enhancing the thermographic diagnosis of maxillary sinusitis using deep learning approach Review of unmanned aerial vehicle infrared thermography (UAV-IRT) applications in building thermal performance: towards the thermal performance evaluation of building envelope Evaluation of typical rail defects by induction thermography: experimental results and procedure for data analysis during high-speed laboratory testing
×
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