MEMS Seminar: "Optimizing Metals Additive Manufacturing"

The Alliance for the Development of Additive Processing Technologies (ADAPT) is developing a combined physics - machine learning platform for assessing Process-Structure-Property relationships in metals additive manufacturing. An added benefit of this approach is the inherent statistical core of the models - the AI platform is not only capable of learning the PSP relations of AM, but also providing statistical reports on part quality and variation in a manner conducive to certification.

In this presentation, it will be shown how such a framework can be used to optimize parts, processes, and materials for metals additive manufacturing, resulting in reduced times and costs for qualifications. The parts example will cover accelerated qualification of a 17-4 Stainless Steel door hinge for an Army ground vehicle. The materials example will document ways and means to make laser powder bed fusion manufactured Inconel 718 stronger & more ductile than wrought material.

Aaron is the Rowlinson Associate Professor of Mechanical Engineering and Materials Science at the Colorado School of Mines, as well as the Executive Director of the Alliance for the Development of Additive Processing Technologies (ADAPT), a 22-member academic-industry research consortium. He received his B.S. and M.S. from the University of Akron and his Ph.D. from Northwestern University.

Lunch will be served at 11:30 am.
Hosted by Dr. Cate Brinson and Dr. Stefano Curtarolo