Effective Thermal Wave Imaging for Non Destructive Testing of Corrosion in Mild Steel
| dc.contributor.guide | Kulkarni, Ajay and Siddiqui, Juned Ahmed | |
| dc.coverage.spatial | ||
| dc.creator.researcher | Raverkar, Parag | |
| dc.date.accessioned | 2025-11-03T11:35:41Z | |
| dc.date.available | 2025-11-03T11:35:41Z | |
| dc.date.awarded | 2025 | |
| dc.date.completed | 2025 | |
| dc.date.registered | 2019 | |
| dc.description.abstract | Thermography 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.accompanyingmaterial | DVD | |
| dc.format.dimensions | 8.58 MB | |
| dc.format.extent | All pages | |
| dc.identifier.researcherid | 0009-0005-3416-565X | |
| dc.identifier.uri | http://hdl.handle.net/10603/670991 | |
| dc.language | English | |
| dc.publisher.institution | Electronics Engineering | |
| dc.publisher.place | Indore | |
| dc.publisher.university | Medi Caps University, Indore | |
| dc.relation | ||
| dc.rights | university | |
| dc.source.university | University | |
| dc.subject.keyword | Corrosion | |
| dc.subject.keyword | Digital frequency modulation | |
| dc.subject.keyword | Engineering | |
| dc.subject.keyword | Engineering and Technology | |
| dc.subject.keyword | Engineering Electrical and Electronic | |
| dc.subject.keyword | Infrared thermography | |
| dc.subject.keyword | Linear frequency modulation | |
| dc.subject.keyword | Non-Destructive testing | |
| dc.subject.keyword | Principal component analysis | |
| dc.subject.keyword | Time base post processing | |
| dc.title | Effective Thermal Wave Imaging for Non Destructive Testing of Corrosion in Mild Steel | |
| dc.title.alternative | Effective Thermal Wave Imaging for Non Destructive Testing of Corrosion in Mild Steel | |
| dc.type.degree | Ph.D. |
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