Understanding Defects in Additively Manufactured Materials: Automated Data Analysis of Micro Computed Tomography Images

Summary

A project to design and develop a probabilistic model that accurately describes the likelihood of defect formation with respect to part geometry in additively manufactured metal/alloy parts through the use of deep learning and statistical analysis on micro computed tomography data.