M. Muzammil Parvez, M.Lakshmana Kumar, R. Ravindran, R. Anirudh, Lokam Nithin Bharadwaj, Chella Santhosh, Thondam Sri Ravi Teja, R.G.N Vardhan Reddy
{"title":"Defect Detection Using Fan Chirp Transform using Quadratic Frequency Modulated Thermal Wave Imaging","authors":"M. Muzammil Parvez, M.Lakshmana Kumar, R. Ravindran, R. Anirudh, Lokam Nithin Bharadwaj, Chella Santhosh, Thondam Sri Ravi Teja, R.G.N Vardhan Reddy","doi":"10.1109/AISP53593.2022.9760566","DOIUrl":null,"url":null,"abstract":"Lifetime of the material is important in various fields of applications. Aerospace, mosaics, and metallic objects serving in realistic applications in day today life. Materials possessing greater defect have low lifetime when compared with materials having smaller defects. So it’s important to check the detects in order to have a knowledge of material’s lifetime different detection techniques are performed to find subsurface anomalies. In this research investigation a non-contact, and Quadratic Frequency Modulated thermal wave imaging technique (QFMTWI) is used to evaluate the whole field of the material with more reliable information. The recorded thermal response provides the information regarding cracks, voids, irregularities present in the material’s sub-surface. Fan Chirp transform method is adopted. It is a method which matches completely with the chirp rate obtained from the sample to facilitate improved visualization of defects. Fan-Chirp transform method provides a noteworthy defect detection of the sample.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":"33 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AISP53593.2022.9760566","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
Lifetime of the material is important in various fields of applications. Aerospace, mosaics, and metallic objects serving in realistic applications in day today life. Materials possessing greater defect have low lifetime when compared with materials having smaller defects. So it’s important to check the detects in order to have a knowledge of material’s lifetime different detection techniques are performed to find subsurface anomalies. In this research investigation a non-contact, and Quadratic Frequency Modulated thermal wave imaging technique (QFMTWI) is used to evaluate the whole field of the material with more reliable information. The recorded thermal response provides the information regarding cracks, voids, irregularities present in the material’s sub-surface. Fan Chirp transform method is adopted. It is a method which matches completely with the chirp rate obtained from the sample to facilitate improved visualization of defects. Fan-Chirp transform method provides a noteworthy defect detection of the sample.