Metal-Based Additive Manufacturing Condition Monitoring: A Review on Machine Learning Based Approaches

Volume: 27, Issue: 5, Pages: 2495 - 2510
Published: Oct 1, 2022
Abstract
The metal-based additive manufacturing (MAM) processes have great potential in wide industrial applications, for their capabilities in building dense metal parts with complex geometry and internal characteristics. However, various defects in the MAM process greatly affect the precision, mechanical properties and repeatability of final parts. These defects limit its application as a reliable manufacturing process, especially in the aerospace and...
Paper Details
Title
Metal-Based Additive Manufacturing Condition Monitoring: A Review on Machine Learning Based Approaches
Published Date
Oct 1, 2022
Volume
27
Issue
5
Pages
2495 - 2510
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