Effective Thermal Wave Imaging for Non Destructive Testing of Corrosion in Mild Steel

dc.contributor.guideKulkarni, Ajay and Siddiqui, Juned Ahmed
dc.coverage.spatial
dc.creator.researcherRaverkar, Parag
dc.date.accessioned2025-11-03T11:35:41Z
dc.date.available2025-11-03T11:35:41Z
dc.date.awarded2025
dc.date.completed2025
dc.date.registered2019
dc.description.abstractThermography provides a promising technique of flaw detection in steel newlinematerials, particularly in the current situation. Non-contact and non newlinepenetrating measurement are its major advantages. It is a single-sided method newlineof testing, thus has beneficial advantages in the majority of applications. newlineFurther research in thermographic detection methods has significantly newlineenhanced the capability of inspection and flaw detection in materials. newlineMild steel is a prevalent material used in various industrial processes and newlineconstruction of buildings. Its quality is dependent on its proper chemical newlinecomposition and environmental resistance. Mild steel, though, is highly newlinesusceptible to corrosion when it is exposed to water. Corrosion is a significant newlineissue in maintaining the structural integrity of mild steel. Thermographic newlinetechniques have proven to be effective in properly inspecting and identifying newlinecorrosion in mild steel, making it functional and reliable. newlineIn this paper, Linear Frequency Modulation (LFM) and Digital Frequency newlineModulation (DFM) thermographic techniques were employed to generate newlineheat stimulation. Stimulation generates oscillating thermal gradients based on newlinematerial contrasts. These oscillations are detected and processed using post newlineprocessing techniques. Different techniques like correlation coefficient newlineanalysis, time-domain phase analysis, and Principal Component Analysis (PCA) newlinewere employed. The results showed that time-domain phase analysis newlinegenerated a greater response, and PCA enabled earlier defect detection. newlineWe have compared the SNR of correlation coefficient, time domain phase newlineanalysis and PCA method and in our study PCA gives better signal to noise ratio newlinewith early detection.
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions8.58 MB
dc.format.extentAll pages
dc.identifier.researcherid0009-0005-3416-565X
dc.identifier.urihttp://hdl.handle.net/10603/670991
dc.languageEnglish
dc.publisher.institutionElectronics Engineering
dc.publisher.placeIndore
dc.publisher.universityMedi Caps University, Indore
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordCorrosion
dc.subject.keywordDigital frequency modulation
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keywordInfrared thermography
dc.subject.keywordLinear frequency modulation
dc.subject.keywordNon-Destructive testing
dc.subject.keywordPrincipal component analysis
dc.subject.keywordTime base post processing
dc.titleEffective Thermal Wave Imaging for Non Destructive Testing of Corrosion in Mild Steel
dc.title.alternativeEffective Thermal Wave Imaging for Non Destructive Testing of Corrosion in Mild Steel
dc.type.degreePh.D.

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