Akademik Veri Yönetim Sistemi
Archives of Computational Methods in Engineering, cilt.32, sa.8, ss.4691-4722, 2025 (SCI-Expanded, Scopus)
Additive manufacturing (AM) is a dynamic manufacturing process that provides new opportunities for creating products with intricate shapes and structures. AM, often known as Three Dimensional (3D) printing, has gained significant attention due to its technological developments, and the incorporation of artificial intelligence (AI) has further transformed its environment. This work aims to present the role of AI in various AM technologies and their industrial applications, highlighting the evolution of AM from a prototyping tool to standard manufacturing technology for final products. This review discusses the different AM technologies such as powder bed fusion (PBF), binder jetting (BJT), directed energy deposition (DED), and fused deposition modelling (FDM). This paper also covers artificial intelligence applications in design, process parameter optimization, quality control, material processing, reprocessing, and recycling. The outcomes reveal that the utilization of techniques like data acquisition coupled with Machine Learning (ML) algorithms is a foundational element bridging AM and AI. In addition, this review also addresses current challenges related to AI's role in advancing the evolution of AM technology while discussing potential areas for future research.