Title : Design and Analysis of Defect Detection in Composite Materials Using Machine Learning Based Thermal Wave Imaging

Type of Material: Thesis
Title: Design and Analysis of Defect Detection in Composite Materials Using Machine Learning Based Thermal Wave Imaging
Researcher: MUZAMMIL PARVEZ, M
Guide: Shanmugam, J
Department: Department of Electronics and Communication Engineering
Publisher: Bharath University, Chennai
Place: Chennai
Year: 2022
Language: English
Subject: Engineering
Engineering and Technology
Engineering Industrial
Electronics and Communication Engineering
Engineering and Technology
Dissertation/Thesis Note: PhD; Department of Electronics and Communication Engineering, Bharath University, Chennai, Chennai; 2022; D17EC505
Fulltext: Shodhganga

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040__|aBHAU_600073|dIN-AhILN
041__|aeng
100__|aMUZAMMIL PARVEZ, M|eResearcher
110__|aDepartment of Electronics and Communication Engineering|bBharath University, Chennai|dChennai|ein|0U-0446
245__|aDesign and Analysis of Defect Detection in Composite Materials Using Machine Learning Based Thermal Wave Imaging
260__|aChennai|bBharath University, Chennai|c2022
300__|dDVD
502__|bPhD|cDepartment of Electronics and Communication Engineering, Bharath University, Chennai, Chennai|d2022|oD17EC505
520__|aInfrared thermography is becoming a popular non-destructive testing, where the defects and damage to composite materials can have a significant impact on a structure residual strength and stiffness, as well as on its ability to withstand a particular load path. Detecting and correcting errors is no longer necessary when using composites to their full potential. The manufacturing process or the normal service life of a composite component may result in the accidental production of defects. Incorrect manufacturing conditions can lead to defects and deficiencies in composite parts that are manufactured. Composite failure can be caused by a variety of factors. Some failures are caused by a combination of factors, such as bad manufacturing and poor material selection. There are times when a lack of knowledge of critical factors such as environmental, chemical, or mechanical sensitivities can lead to failures. For composite materials to benefit from their properties, these errors and imperfections must be evaluat
650__|aElectronics and Communication Engineering|2UGC
650__|aEngineering and Technology|2AIU
653__|aEngineering
653__|aEngineering and Technology
653__|aEngineering Industrial
700__|aShanmugam, J|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/409154|yShodhganga
905__|afromsg

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