Detection and characterisation of defects in directed energy deposited multi-material components using full waveform inversion and reverse time migration-Reference-Cited by-同舟云学术

Detection and characterisation of defects in directed energy deposited multi-material components using full waveform inversion and reverse time migration

Published:2022-06-13 Issue:4 Volume:17 Page:1047-1057
ISSN:1745-2759
Container-title:Virtual and Physical Prototyping
language:en
Short-container-title:Virtual and Physical Prototyping

Author:

Rao Jing¹^ORCID,Sing Swee Leong²,Lim Joel Choon Wee³,Yeong Wai Yee³,Yang Jizhong⁴^ORCID,Fan Zheng³,Hazell Paul¹^ORCID

Affiliation:

1. School of Engineering and Information Technology, The University of New South Wales, Canberra, ACT, Australia

2. Department of Mechanical Engineering, National University of Singapore, Singapore, Singapore

3. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore

4. State Key Laboratory of Marine Geology, Tongji University, Shanghai, People's Republic of China

Funder

start-up grant from UNSW Canberra

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

The Advanced Remanufacturing and Technology Centre (ARTC) and NAMIC Singapore

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Computer Graphics and Computer-Aided Design,Modeling and Simulation,Signal Processing

Link

https://www.tandfonline.com/doi/pdf/10.1080/17452759.2022.2086142

Reference52 articles.

1. The manufacturing of hard tools from metallic powders by selective laser melting

2. Investigation of effect of process parameters on multilayer builds by direct metal deposition

3. A deep learning-based model for defect detection in laser-powder bed fusion using in-situ thermographic monitoring

4. Fact or Artifact in Two-Dimensional Echocardiography: Avoiding Misdiagnosis and Missed Diagnosis

5. Gradient Sampling Methods for Nonsmooth Optimization

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