Main Catalog Informatics, Computer Engineering and Control Information Technology. Computer techologies. Theory of computers and systems

Analysis of current research in the field of machine learning for process optimization in additive manufacturing

Authors: Khokhlov A.V.
Published in issue: #1(102)/2026
DOI:
Category: Informatics, Computer Engineering and Control \| Chapter: Information Technology. Computer techologies. Theory of computers and systems
Keywords: additive manufacturing, machine learning, parameter optimization, photopolymerization in a bath, powder fusion, extrusion of materials, prediction of defects, product quality
Published: 16.02.2026

This paper explores the application of machine learning and explicable artificial intelligence in various additive manufacturing processes, such as photopolymerization in a bath, powder fusion, binder inkjet processing, inkjet printing of materials, directed energy deposition and extrusion of materials. It is shown that the use of hybrid algorithms and models, such as convolutional neural networks and Bayesian optimization, can improve the mechanical characteristics and stability of microstructural properties. The materials under consideration demonstrate the potential of using artificial intelligence and machine learning algorithms in improving the efficiency and reliability of production processes, which underlines its importance for innovation in industries such as aerospace, biomedical and automotive industries.

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