Geometrical defect detection for additive manufacturing with machine learning models

Geometrical defect detection for additive manufacturing with machine learning models

This study proposed a scheme based on Machine Learning (ML) models to detect geometric defects of additively manufactured objects. The ML models are trained with synthetic 3D point clouds with defects and then applied to detect defects in actual production. Using synthetic 3D point clouds rather tha...

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Bibliographic Details
Main Authors: Rui Li, Mingzhou Jin, Vincent C. Paquit
Format: Article
Language:English
Published: Elsevier 2021-08-01
Series:Materials & Design
Subjects:
Additive manufacturing
Defect detection
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127521002781

Internet

http://www.sciencedirect.com/science/article/pii/S0264127521002781

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