Artificial Intelligence Capabilities in Additive Manufacturing: A Review of Integration Across the 3D Printing Process

DOI

10.2991/978-94-6239-687-6_22How to use a DOI?

Keywords

Artificial Intelligence; 3D Printing; Technology Integration

Abstract

Artificial Intelligence (AI) has emerged as a powerful enabler for enhancing 3D Printing processes, contributing to increased accuracy, efficiency, and automation. This paper presents a structured review of AI capabilities developed for 3D Printing based solely on qualitative document analysis conducted between 2021 and 2025. The review categorises AI applications into three functional stages: pre-printing (e.g., image segmentation, CAD optimisation), in-process (e.g., real-time monitoring, defect detection, closed-loop control), and post-processing (e.g., quality evaluation, parameter refinement). By analysing scholarly and industry sources, the paper identifies prevailing technologies—such as convolutional neural networks (CNNs), machine learning models, and vision-based feedback systems—that are actively shaping additive manufacturing. It also highlights trends in AI deployment tailored to specific sectors such as healthcare and aerospace. While these developments demonstrate strong technical promise, the review also notes that most research is confined to controlled environments and lacks strategic alignment with broader adoption frameworks. The paper concludes by discussing how AI capabilities—if generalised and scaled—can address key barriers to adoption and help transition 3D Printing from early adopters to early majority users.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yarabisa Yanuar
PY  - 2026
DA  - 2026/05/24
TI  - Artificial Intelligence Capabilities in Additive Manufacturing: A Review of Integration Across the 3D Printing Process
BT  - Proceedings of the 8th Mechanical and Industrial Engineering Symposium (MIE 2025)
PB  - Atlantis Press
SP  - 307
EP  - 321
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6239-687-6_22
DO  - 10.2991/978-94-6239-687-6_22
ID  - Yanuar2026
ER  -