Titre : Integration of Artificial Intelligence in Additive Manufacturing: Innovations and Trends 

Auteurs : Adnane Zoubeir
, Bouchaib Radi,  

Revue : Uncertainties and Reliability of Multiphysical Systems 

Numéro : Issue 1 

Volume : 9 

Date : 2025/07/9 

DOI : 10.21494/ISTE.OP.2025.1325 

ISSN : 2514-569X 

Résumé : Additive Manufacturing (AM), also known as 3D printing, is revolutionizing the industrial sector by enabling the production of complex and customized components. The integration of Artificial Intelligence (AI) into AM processes holds significant promise for enhancing design optimization, process efficiency, and quality control. This article explores the convergence of AI and AM, focusing on innovation, trends, and applications such as topology optimization, performance prediction, real-time monitoring, and automated defect detection. We discuss the challenges associated with integrating AI into AM, including data availability, computational requirements, and the need for multidisciplinary expertise. This review aims to provide valuable insights for researchers and industry professionals interested in leveraging AI to advance additive manufacturing technologies. 

Éditeur : ISTE OpenScience