https://doi.org/10.1051/epjconf/202636702004
Development of an automated AI system for real-time error detection in 3D printing
1 BO Smart Factory, University of Applied Sciences Bochum, 44801 Bochum, Germany.
2 School of Mechanical Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 29 April 2026
Abstract
As an additive manufacturing process, 3D printing offers a very wide range of applications in industrial use. From prototype construction to small series production, components that are needed at short notice can be made available quickly without long set-up times. The industrial use of AI methods for quality assurance in Industry 4.0 processes increases the efficiency of manufacturing processes. For automated additive manufacturing, the implementation of AI systems specifically for error monitoring is essential. The selection and training of a suitable AI language model enables reliable and early detection of 3D printing errors, thus facilitating automation and integration into existing manufacturing processes.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
