Machine Learning: Progress Toward Additive Manufacturing Materials Property Allowables Development

Abstract

Abstract This article starts with a synopsis of machine learning (ML) and explores the characteristics of ML algorithms. It then reports on the results of two recently completed research projects investigating the potential use of ML to establish additive manufacturing materials property allowables. Although continued research and development work is required, the results are very promising.