Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/161514
Title: Detection and characterisation of defects in directed energy deposited multi-material components using full waveform inversion and reverse time migration
Authors: Rao, Jing
Sing, Swee Leong
Lim, Joel Choon Wee
Yeong, Wai Yee
Yang, Jizhong
Fan, Zheng
Hazell, Paul
Keywords: Engineering::Mechanical engineering
Issue Date: 2022
Source: 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
Journal: Virtual and Physical Prototyping
Abstract: 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.
URI: https://hdl.handle.net/10356/161514
ISSN: 1745-2759
DOI: 10.1080/17452759.2022.2086142
Schools: School of Mechanical and Aerospace Engineering 
Rights: © 2022 Informa UK Limited, trading as Taylor & Francis Group. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:MAE Journal Articles

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