Rapid surface defect identification for additive manufacturing with in-situ point cloud processing and machine learning
Author:
Affiliation:
1. Singapore Institute of Manufacturing Technology, Agency for Science, Technology and Research, Singapore
2. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore
Funder
A*ccelerate
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Computer Graphics and Computer-Aided Design,Modelling and Simulation,Signal Processing
Link
https://www.tandfonline.com/doi/pdf/10.1080/17452759.2020.1832695
Reference46 articles.
1. Revealing mechanisms of residual stress development in additive manufacturing via digital image correlation
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4. Using Large-Scale Additive Manufacturing (LSAM) as a Bridge Manufacturing Process in Response to Shortages in PPE During the COVID-19 Outbreak
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