A Newly Developed Method Will Ensure High-quality Standards In Additive Manufacturing Processes

A group of researchers from the University of Illinois Urbana-Champaign have developed a new method of training deep machine learning models to detect defects in additive manufacturing processes. This is a major milestone for the industry as 3D printing continues to expand and become more complex. The growth of the additive manufacturing market is being fueled by lower costs, increased availability, and AI integration. Quality control is vital in industries such as aerospace and medical applications where 3D-printed components are crucial.