CSE - AI, Coding, and Cutting Metal to Transcend Stress

Problem: Precision machining of large metal parts often starts from rough workpieces produced using additive manufacturing, resulting in large residual stress fields within the workpieces. When they are later refined to precise geometries, this stress causes deformation, resulting in unusable, wasted parts.

Approach: Produce large, precise, metal parts despite residual stress and deformation during machining by continuously measuring the resultinggradual workpiece deformation, using these deformations to estimate the internal residual stress tensor field, and dynamically adapting cutting tool paths based on these estimates.

What to expect: Students will participate in weekly meetings, mostly virtually,  and will work on developing machine learning and AI based methods to predict and manage residual stress.

Faculty advisors: 

X. Sharon Hu at Univ of Notre Dame, shu@nd.edu

Robert Dick at University of Michigan, dickrp@umich.edu