Haris Ali Khan , Shahab Uddin , Sharjeel Salik , Ali Javaid , Talha Ali Khan , Zia Ul Islam
{"title":"A Lock-In thermography based post-processing scheme for the detection of sub-surface rivet-related defects in aircraft structures","authors":"Haris Ali Khan , Shahab Uddin , Sharjeel Salik , Ali Javaid , Talha Ali Khan , Zia Ul Islam","doi":"10.1016/j.ymssp.2025.112423","DOIUrl":null,"url":null,"abstract":"<div><div>This research is focused on developing a novel Lock-In Thermography-based scanning system to detect subsurface defects in aircraft rivets. The proposed system included a customized thermographic device consisting of a thermal camera, heating source, synchronized control circuitry, and post-processing software utilizing the Discrete Wavelet Transform technique, augmented by spatial gradient and mean filtering methods. To validate the developed system, a two-pronged hierarchical approach was adopted. The detection scheme for looseness and internal cracks in rivets was first developed and refined in a lab environment. After successful trials on lab samples, the scheme was further employed in different areas of actual aircraft. A total of 751 rivets were scanned for looseness and internal cracks, and a very promising detection rate was observed, confirmed through visual inspection and microscopic analysis. The developed setup can be further extended to other sub-surface defects such as corrosion and other structural non-homogeneities.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"228 ","pages":"Article 112423"},"PeriodicalIF":7.9000,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mechanical Systems and Signal Processing","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0888327025001244","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
This research is focused on developing a novel Lock-In Thermography-based scanning system to detect subsurface defects in aircraft rivets. The proposed system included a customized thermographic device consisting of a thermal camera, heating source, synchronized control circuitry, and post-processing software utilizing the Discrete Wavelet Transform technique, augmented by spatial gradient and mean filtering methods. To validate the developed system, a two-pronged hierarchical approach was adopted. The detection scheme for looseness and internal cracks in rivets was first developed and refined in a lab environment. After successful trials on lab samples, the scheme was further employed in different areas of actual aircraft. A total of 751 rivets were scanned for looseness and internal cracks, and a very promising detection rate was observed, confirmed through visual inspection and microscopic analysis. The developed setup can be further extended to other sub-surface defects such as corrosion and other structural non-homogeneities.
期刊介绍:
Journal Name: Mechanical Systems and Signal Processing (MSSP)
Interdisciplinary Focus:
Mechanical, Aerospace, and Civil Engineering
Purpose:Reporting scientific advancements of the highest quality
Arising from new techniques in sensing, instrumentation, signal processing, modelling, and control of dynamic systems