Subsurface defect characterization using laser ultrasonic technique for metal additive manufacturing
With a layer-by-layer approach to part fabrication, additive manufacturing holds strong potential to revolutionize design and manufacturing processes. Selective Laser Melting (SLM) is one primary metal additive manufacturing technique to build functional parts for the automotive and aerospace indust...
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2021
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sg-ntu-dr.10356-1484832023-03-11T17:48:07Z Subsurface defect characterization using laser ultrasonic technique for metal additive manufacturing Cai, Xingfang Fan Zheng, David School of Mechanical and Aerospace Engineering ZFAN@ntu.edu.sg Engineering::Aeronautical engineering With a layer-by-layer approach to part fabrication, additive manufacturing holds strong potential to revolutionize design and manufacturing processes. Selective Laser Melting (SLM) is one primary metal additive manufacturing technique to build functional parts for the automotive and aerospace industries. However, the general lack of process robustness for product quality has presented key technical challenge that impedes a wider adoption of the technology for direct part production. In this work, advancements in the defect inspection capabilities of laser ultrasonic technique applied for metal additive manufacturing have been made. A novel methodology for detection and characterization of micron-sized subsurface defects with laser ultrasound is presented. The methodology was developed from classical theories of elastic wave scattering from defects to address the surface wave scattering from subsurface defects, with defect detectability limited by wave scattering principles. Subsurface defect types considered in the study are void and powder-filled defect representing the lack-of-fusion defect. The work was conducted on the SLM samples with artificially created defects, as the groundwork before the intended application for in situ process monitoring. The methodology showed good results for defect detection and characterization in the numerical simulation and experimental studies. The methodology is also applicable for defect characterization on the as-built SLM part with poor surface finish. Doctor of Philosophy 2021-04-28T12:20:39Z 2021-04-28T12:20:39Z 2021 Thesis-Doctor of Philosophy Cai, X. (2021). Subsurface defect characterization using laser ultrasonic technique for metal additive manufacturing. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148483 https://hdl.handle.net/10356/148483 10.32657/10356/148483 en This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). application/pdf Nanyang Technological University |
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Engineering::Aeronautical engineering Cai, Xingfang Subsurface defect characterization using laser ultrasonic technique for metal additive manufacturing |
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With a layer-by-layer approach to part fabrication, additive manufacturing holds strong potential to revolutionize design and manufacturing processes. Selective Laser Melting (SLM) is one primary metal additive manufacturing technique to build functional parts for the automotive and aerospace industries. However, the general lack of process robustness for product quality has presented key technical challenge that impedes a wider adoption of the technology for direct part production. In this work, advancements in the defect inspection capabilities of laser ultrasonic technique applied for metal additive manufacturing have been made. A novel methodology for detection and characterization of micron-sized subsurface defects with laser ultrasound is presented. The methodology was developed from classical theories of elastic wave scattering from defects to address the surface wave scattering from subsurface defects, with defect detectability limited by wave scattering principles. Subsurface defect types considered in the study are void and powder-filled defect representing the lack-of-fusion defect. The work was conducted on the SLM samples with artificially created defects, as the groundwork before the intended application for in situ process monitoring. The methodology showed good results for defect detection and characterization in the numerical simulation and experimental studies. The methodology is also applicable for defect characterization on the as-built SLM part with poor surface finish. |
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Fan Zheng, David |
author_facet |
Fan Zheng, David Cai, Xingfang |
format |
Thesis-Doctor of Philosophy |
author |
Cai, Xingfang |
author_sort |
Cai, Xingfang |
title |
Subsurface defect characterization using laser ultrasonic technique for metal additive manufacturing |
title_short |
Subsurface defect characterization using laser ultrasonic technique for metal additive manufacturing |
title_full |
Subsurface defect characterization using laser ultrasonic technique for metal additive manufacturing |
title_fullStr |
Subsurface defect characterization using laser ultrasonic technique for metal additive manufacturing |
title_full_unstemmed |
Subsurface defect characterization using laser ultrasonic technique for metal additive manufacturing |
title_sort |
subsurface defect characterization using laser ultrasonic technique for metal additive manufacturing |
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Nanyang Technological University |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/148483 |
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