Abstract
Additive manufacturing technology, also known as 3D printing technology, is an emerging manufacturing technology based on digital models, which builds up layers of materials to create physical objects, reflecting information network technology, advanced material technology, and digital manufacturing technology; the intimate combination is an important part of intelligent manufacturing. The 3D printing industry is gradually entering the growth period from the introduction period: After more than 30 years of development, 3D printing in the Indian industry has formed a relatively complete industrial chain, including upstream raw materials, midstream 3D printing equipment and services, as well as many downstream applications such as aerospace, automotive, medical, and education area. In recent years, the scale of the 3D printing industry has maintained rapid growth. Recently, the manufacturing of 3D objects became more perceived via 3D printing (3DP). This manufacturing model is known as an evolutional paradigm. One of the most vital applications of 3D printing is the prostheses design. Although there is a long history of the design of prostheses, there are some issues that have not been solved yet. The main goal of this work is to describe the interaction between artificial intelligence and additive manufacturing in order to achieve real-time 3D printing control, especially in SLA 3D printing with photopolymerization reaction process. AI and AM combination should improve production processes and develop new technologies.
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Talaat, F.M., Hassan, E. (2021). Artificial Intelligence in 3D Printing. In: Hassanien, A.E., Darwish, A., Abd El-Kader, S.M., Alboaneen, D.A. (eds) Enabling Machine Learning Applications in Data Science. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-33-6129-4_6
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DOI: https://doi.org/10.1007/978-981-33-6129-4_6
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