A review on AI integration with FDM printing to enhance precision, efficiency, and process optimization

Sundarakannan Rajendran, Geetha Palani, Shankar Sanjeevi, Arumugaprabu Veerasimman, Herri Trilaksana, Vickram Sundaram, Uthayakumar Marimuthu, Yo-Lun Yang, Vigneshwaran Shanmugam, Department of Mechanical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Department of Mechanical Engineering, Cambridge Institute of Technology, Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Department of Physics, Faculty of Science and Technology, Airlangga University, Department of Biotechnology, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Department of Mechanical Engineering, Center for Flexible Electronics , Advanced Materials, Amrita Vishwa Vidyapeetham, Graduate Institute of Manufacturing Technology, National Taipei University of Technology

Journal of Reinforced Plastics and Composites

Published online on July 08, 2025

Abstract

Journal of Reinforced Plastics and Composites, Ahead of Print.
Fused deposition modeling (FDM) is widely applied in industries such as automotive, aerospace, and healthcare; however, it is limited by print quality, material consumption, and process efficiency. Artificial intelligence (AI) is a game-changing ...