Defect detection for remanufacturing engineering using non-destructive testing

Coating technologies are extensively used in various remanufacturing and repair purposes. However, there is little knowledge on the material properties of the coating. These properties are mostly obtained by destructive testing means which are uneconomical. In this project, operating procedures are...

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Bibliographic Details
Main Author: Yeo, Hwee Ling
Other Authors: School of Mechanical and Aerospace Engineering
Format: Final Year Project (FYP)
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/10356/60996
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author Yeo, Hwee Ling
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Yeo, Hwee Ling
author_sort Yeo, Hwee Ling
collection NTU
description Coating technologies are extensively used in various remanufacturing and repair purposes. However, there is little knowledge on the material properties of the coating. These properties are mostly obtained by destructive testing means which are uneconomical. In this project, operating procedures are clearly developed and have proven to be effective in defect detection and obtaining of material properties through Scanning Acoustic Microscopy (SAM), a non-destructive way of testing. Defect characterization is done for both Ni-5%Al and AISI 4340 samples and is very conclusive and beneficial for future application. Material properties of the Ni-5%Al coating, which include thickness, longitudinal velocity, impedance and elastic modulus are evaluated and yield a reliable value. Most importantly, an accuracy of 20 microns is achieved for the thickness derivation. Also, defects of down to a few microns in diameter can be easily detected without fail. All the defects detected agree closely to the findings in the literature review.
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spelling ntu-10356/609962023-03-04T18:18:14Z Defect detection for remanufacturing engineering using non-destructive testing Yeo, Hwee Ling School of Mechanical and Aerospace Engineering Zhou Kun DRNTU::Engineering::Mechanical engineering Coating technologies are extensively used in various remanufacturing and repair purposes. However, there is little knowledge on the material properties of the coating. These properties are mostly obtained by destructive testing means which are uneconomical. In this project, operating procedures are clearly developed and have proven to be effective in defect detection and obtaining of material properties through Scanning Acoustic Microscopy (SAM), a non-destructive way of testing. Defect characterization is done for both Ni-5%Al and AISI 4340 samples and is very conclusive and beneficial for future application. Material properties of the Ni-5%Al coating, which include thickness, longitudinal velocity, impedance and elastic modulus are evaluated and yield a reliable value. Most importantly, an accuracy of 20 microns is achieved for the thickness derivation. Also, defects of down to a few microns in diameter can be easily detected without fail. All the defects detected agree closely to the findings in the literature review. Bachelor of Engineering (Mechanical Engineering) 2014-06-04T01:47:04Z 2014-06-04T01:47:04Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/60996 en Nanyang Technological University 79 p. application/pdf
spellingShingle DRNTU::Engineering::Mechanical engineering
Yeo, Hwee Ling
Defect detection for remanufacturing engineering using non-destructive testing
title Defect detection for remanufacturing engineering using non-destructive testing
title_full Defect detection for remanufacturing engineering using non-destructive testing
title_fullStr Defect detection for remanufacturing engineering using non-destructive testing
title_full_unstemmed Defect detection for remanufacturing engineering using non-destructive testing
title_short Defect detection for remanufacturing engineering using non-destructive testing
title_sort defect detection for remanufacturing engineering using non destructive testing
topic DRNTU::Engineering::Mechanical engineering
url http://hdl.handle.net/10356/60996
work_keys_str_mv AT yeohweeling defectdetectionforremanufacturingengineeringusingnondestructivetesting