Detection and characterisation of defects in directed energy deposited multi-material components using full waveform inversion and reverse time migration
Directed energy deposition (DED) is capable in producing complex or high-value components with good mechanical properties. Despite these potential advantages, the quality and integrity of multi-material DED parts, remains a challenging issue that limits its wide applications. Material porosity in mu...
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sg-ntu-dr.10356-1615142022-09-06T05:41:57Z Detection and characterisation of defects in directed energy deposited multi-material components using full waveform inversion and reverse time migration Rao, Jing Sing, Swee Leong Lim, Joel Choon Wee Yeong, Wai Yee Yang, Jizhong Fan, Zheng Hazell, Paul School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Additive Manufacturing Multi-material Components Directed energy deposition (DED) is capable in producing complex or high-value components with good mechanical properties. Despite these potential advantages, the quality and integrity of multi-material DED parts, remains a challenging issue that limits its wide applications. Material porosity in multi-material components is detrimental since it may lead to premature structural failure. This paper proposes a two-stage ultrasonic method to characterise the internal structure to enhance the understanding of the process parameters on material porosity. In this method, the low-frequency model building aims at reconstructing background structure and the high-frequency imaging targets at small defects. The first stage is based on the gradient sampling full-waveform inversion for the estimation of the velocity model, which is then used as the initial model for the reverse time migration for reflectivity. The experimental results show that accurate reconstructions of the interface between two materials and defects in multi-material DED components can be achieved. Jing Rao was supported by the start-up grant from UNSW Canberra [grant number PS63396]. Jizhong Yang was supported by the National Natural Science Foundation of China [grant number 42004096] and the Fundamental Research Funds for the Central Universities. 2022-09-06T05:41:57Z 2022-09-06T05:41:57Z 2022 Journal Article Rao, J., Sing, S. L., Lim, J. C. W., Yeong, W. Y., Yang, J., Fan, Z. & Hazell, P. (2022). Detection and characterisation of defects in directed energy deposited multi-material components using full waveform inversion and reverse time migration. Virtual and Physical Prototyping, 17(4), 1047-1057. https://dx.doi.org/10.1080/17452759.2022.2086142 1745-2759 https://hdl.handle.net/10356/161514 10.1080/17452759.2022.2086142 2-s2.0-85131718495 4 17 1047 1057 en Virtual and Physical Prototyping © 2022 Informa UK Limited, trading as Taylor & Francis Group. All rights reserved. |
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Engineering::Mechanical engineering Additive Manufacturing Multi-material Components Rao, Jing Sing, Swee Leong Lim, Joel Choon Wee Yeong, Wai Yee Yang, Jizhong Fan, Zheng Hazell, Paul Detection and characterisation of defects in directed energy deposited multi-material components using full waveform inversion and reverse time migration |
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Directed energy deposition (DED) is capable in producing complex or high-value components with good mechanical properties. Despite these potential advantages, the quality and integrity of multi-material DED parts, remains a challenging issue that limits its wide applications. Material porosity in multi-material components is detrimental since it may lead to premature structural failure. This paper proposes a two-stage ultrasonic method to characterise the internal structure to enhance the understanding of the process parameters on material porosity. In this method, the low-frequency model building aims at reconstructing background structure and the high-frequency imaging targets at small defects. The first stage is based on the gradient sampling full-waveform inversion for the estimation of the velocity model, which is then used as the initial model for the reverse time migration for reflectivity. The experimental results show that accurate reconstructions of the interface between two materials and defects in multi-material DED components can be achieved. |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Rao, Jing Sing, Swee Leong Lim, Joel Choon Wee Yeong, Wai Yee Yang, Jizhong Fan, Zheng Hazell, Paul |
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Article |
author |
Rao, Jing Sing, Swee Leong Lim, Joel Choon Wee Yeong, Wai Yee Yang, Jizhong Fan, Zheng Hazell, Paul |
author_sort |
Rao, Jing |
title |
Detection and characterisation of defects in directed energy deposited multi-material components using full waveform inversion and reverse time migration |
title_short |
Detection and characterisation of defects in directed energy deposited multi-material components using full waveform inversion and reverse time migration |
title_full |
Detection and characterisation of defects in directed energy deposited multi-material components using full waveform inversion and reverse time migration |
title_fullStr |
Detection and characterisation of defects in directed energy deposited multi-material components using full waveform inversion and reverse time migration |
title_full_unstemmed |
Detection and characterisation of defects in directed energy deposited multi-material components using full waveform inversion and reverse time migration |
title_sort |
detection and characterisation of defects in directed energy deposited multi-material components using full waveform inversion and reverse time migration |
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2022 |
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https://hdl.handle.net/10356/161514 |
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1744365420993839104 |