Quality Prediction and Classification of Process Parameterization for Multi-Material Jetting by Means of Computer Vision and Machine Learning

Quality Prediction and Classification of Process Parameterization for Multi-Material Jetting by Means of Computer Vision and Machine Learning

Multi-Material Jetting (MMJ) is an additive manufacturing process empowering the printing of ceramics and hard metals with the highest precision. Given great advantages, it also poses challenges in ensuring the repeatability of part quality due to an inherent broader choice of built strategies. The...

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Bibliographic Details
Main Authors: Armin Reckert, Valentin Lang, Steven Weingarten, Robert Johne, Jan-Hendrik Klein, Steffen Ihlenfeldt
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Journal of Manufacturing and Materials Processing
Subjects:
additive manufacturing
multi-material jetting
process monitoring
artificial intelligence
machine learning
computer vision
Online Access:https://www.mdpi.com/2504-4494/8/1/8

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