Real-Time Monitoring and Control Technologies in 3D Printing

DOI

10.2991/978-94-6463-986-5_7How to use a DOI?

Keywords

3D printing monitoring; Real-time control; Defect detection; Closed-loop system

Abstract

With the swift advancement of Industry 4.0, 3D printing is increasingly being applied across various industries, and its status is continually rising. However, many 3D printing technologies have problems of insufficient printing success rate and unstable printing quality. Enhancing the degree of automation in monitoring and controlling 3D printing is a currently widely studied topic. This paper provides a comprehensive overview of various real-time monitoring and control technologies for 3D printing, detailing technologies based on machine vision, sensors, and new-type 3D printing monitoring methods. This paper also introduces the closed-loop control technology after monitoring. Although various methods have achieved remarkable results in defect identification, state perception, and adaptive control, they still face many challenges, such as long data processing delay, weak system generalization ability, insufficient monitoring accuracy, and poor model interpretability. In the last part, this paper discusses the future research trends of 3D printing real-time monitoring and control, including cross-modal fusion, low-cost and high-precision sensing, and AI-driven intelligent feedback mechanisms. This paper serves as a reference framework for developing a highly reliable and intelligent 3D printing system.

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  - Guoke Luo
PY  - 2026
DA  - 2026/02/18
TI  - Real-Time Monitoring and Control Technologies in 3D Printing
BT  - Proceedings of the 2025 International Conference on Electronics, Electrical and Grid Technology (ICEEGT 2025)
PB  - Atlantis Press
SP  - 57
EP  - 65
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-986-5_7
DO  - 10.2991/978-94-6463-986-5_7
ID  - Luo2026
ER  -