Integration of Computational Tools for Accelerating Insertion of Aluminum Alloys in Navy Applications

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-08-M-0309
Agency Tracking Number: N08A-022-0053
Amount: $69,982.00
Phase: Phase I
Program: STTR
Awards Year: 2008
Solicitation Year: 2008
Solicitation Topic Code: N08-T022
Solicitation Number: 2008.A
Small Business Information
QUESTEK INNOVATIONS LLC
1820 Ridge Avenue, Evanston, IL, 60201
DUNS: 088176961
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Herng-Jeng Jou
 Director, Technology
 (847) 425-8221
 hjjou@questek.com
Business Contact
 Raymond Genellie, Jr.
Title: Vice President - Operations
Phone: (847) 425-8211
Email: rgenellie@questek.com
Research Institution
 NORTHWESTERN UNIV.
 Gregory B Olson
 Office of Sponsored Research
633 Clark Street, 2-502
Evanston, IL, 60208-1110
 (847) 491-2847
 Nonprofit college or university
Abstract
DARPA’s successful Accelerated Insertion of Materials (AIM) initiative and QuesTek’s Materials by Design® technology have together demonstrated the benefit of an integrated methodology incorporating emerging computational materials simulations to reduce the time and resources required for developing new alloys and/or applications. To take full advantage of this approach, however, existing mechanistic material models require alloy specific calibration, validation and software integration, which is often unavailable for Navy applications. In this Phase I STTR program, QuesTek will collaborate with Northwestern University, both having extensive experience in AIM methodology development, to demonstrate the feasibility of applying integrated computational models/tools and a calibration/validation protocol for marine-grade 5000 & 7000 series aluminum alloys, with an ultimate goal to demonstrate AIM benefits in Phase II. In particular we will utilize PrecipiCalc™ software, which played a central role in the DARPA AIM program, to model strengthening dispersion, grain boundary precipitates and grain refinement microstructures in aluminum alloys. The mechanistic strength and toughness models developed in the ONR/DARPA Digital 3-D Microstructure initiative will be extended to aluminum systems allowing a full software integration of microstructure and property model predictions, and a protocol and experimental data set will be developed for accurate and efficient model calibration and validation.

* information listed above is at the time of submission.

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