Microstructure Informatics for Propagating Uncertainty in Material and Processing to Performance Predictions of AM Titanium Parts

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-16-C-0232
Agency Tracking Number: N16A-004-0227
Amount: $79,976.00
Phase: Phase I
Program: STTR
Awards Year: 2016
Solicitation Year: 2016
Solicitation Topic Code: N16A-T004
Solicitation Number: 2016.0
Small Business Information
714 E Monument ave, Dayton, OH, 45402
DUNS: 831845255
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Dr. Ayman Salem
 (937) 531-6658
 ayman.salem@icmrl.net
Business Contact
 Daniel Satko
Phone: (937) 531-6660
Email: dan.satko@icmrl.net
Research Institution
 Case Western Reserve University
 Dr. John Lewandowski
 10900 Euclid Ave
Cleveland, OH, 44106
 (216) 368-4234
 Nonprofit college or university
Abstract
During AM of metallic alloys, a material exhibits several complex physical phenomena that impact the spatial distribution of heterogeneous material properties within a built component. Subsequent post-processing alters the already heterogeneous location-specific material properties.
This project is to develop a novel methodology for linking the time and length scales of the various physical phenomena using a microstructure-based ICME approach. It is anticipated that the multi-scale simulations will enable predictions of the interdependencies among deposition process; location specific microstructure with the associated location-specific material behavior which will lead to predictions of the overall component performance in the as deposited and after post-processing conditions.
The developed tools will propagate uncertainties in the materials and processing conditions to quantify its impact on the uncertainty in the mechanical behavior of Ti-6Al-4V parts made by additive manufacturing.

* Information listed above is at the time of submission. *

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