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Optimize Additive Manufacturing (AM) Post-Build Heat Treatment (HT) and Hot Iso-static Pressing (HIP) Processes for Fatigue Performance using an Integ

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-17-C-0666
Agency Tracking Number: N172-106-0136
Amount: $224,945.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N172-106
Solicitation Number: 2017.2
Timeline
Solicitation Year: 2017
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-08-30
Award End Date (Contract End Date): 2019-01-07
Small Business Information
3190 Fairview Park Drive
Falls Church, VA 22042
United States
DUNS: 010983174
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Kelvin Leung
 Engineer
 (703) 226-4065
 kleung@tda-i.com
Business Contact
 Scott Bradfield
Phone: (703) 226-4061
Email: sbradfield@tda-i.com
Research Institution
N/A
Abstract

Additive manufacturing (AM) technology is becoming more popular for the fabrication of 3D metal products as it offers rapid prototyping and large design freedom. However, part quality and fatigue performance of components fabricated by current AM technology are not comparable to that produced by traditional methods. Post-build processing techniques, such as heat treatment (HT) and Hot Iso-static Pressing (HIP), have been developed to improve microstructure and remove internal flaws that are detrimental to fatigue resistance. In order to simulate the HT and HIP process and optimize the post-build process, an Integrated Computational Materials Engineering approach is utilized to link the process parameters with materials structures, properties and fatigue performance. We propose a unified computational package to (1) simulate the HT/HIP process including the physics of fluid flow, heat transfer, microstructure evolution and residual stress formation, and (2) predict the probabilistic distribution of fatigue life of AM components. Furthermore, a state-of-the-art hybrid optimization approach, combining sensitivity analysis, response surface method and genetic algorithm, is proposed to optimize post-build process parameters to minimize porosity and defects. Ultimately, the software developed will optimize the HT/HIP process for an AM part CAD/CAE model provided by the user.

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

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