Development and Implementation of a Deep Learning Algorithm to Evaluate the Powder Distribution Process During 3D Printing Using the LPBF Method

Development and Implementation of a Deep Learning Algorithm to Evaluate the Powder Distribution Process During 3D Printing Using the LPBF Method

This article presents research work on an intelligent system that was developed to monitor and continuously evaluate the quality of metal powder distribution in the laser powder bed fusion (LPBF) 3D printing process. The 3D printer that was used to carry out the work was equipped with an industrial...

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Bibliographic Details
Main Authors: Marcin Korzeniowski, Aleksandra Maria Małachowska, Maciej Szymański
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
selective laser melting
3D printing
vision systems
artificial intelligence
Online Access:https://www.mdpi.com/2076-3417/14/24/11718
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