Additive Manufacturing Modification by Artificial Intelligence, Machine Learning, and Deep Learning: A Review

The manufacturing sector has been transformed owing to additive manufacturing (AM), which has made it possible to create intricate, personalized items with little material waste. However, optimizing and enhancing AM processes remain challenging owing to the intricacies involved in design, material selection, and process parameters. This review explores the integration of artificial intelligence (AI), machine learning (ML), and deep learning (DL) techniques to improve and innovate in the field of AM. AI-driven design optimization procedures offer innovative solutions for the 3D printing of complex geometries and lightweight structures. By leveraging machine learning (ML) algorithms, these procedures analyze…