Additive Manufacturing of Aluminium: Alloy Design and Machine Learning Optimization

This lecture covers the additive manufacturing of aluminium, focusing on alloy design and machine learning-assisted process optimization. It discusses the driving forces, successes, and challenges in the field, including design freedom, strength to weight ratio, and processing defects. The presentation also delves into existing powder materials design, problems with the ex-situ approach, and the in-situ approach for aluminium composite powders. Furthermore, it explores the characteristics of powders, optimization of the LPBF process, and the implications of machine learning in the additive manufacturing industry.