Development of Ultra-Refined Microstructure in Friction Stir Processed 7xxx Aluminum using Microstructural and Thermomechanical Modeling

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,999.00
Award Year:
2007
Program:
STTR
Phase:
Phase I
Contract:
FA9550-07-C-0164
Award Id:
83393
Agency Tracking Number:
F074-038-0012
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
714 E Monument Ave Ste 204, Dayton, OH, 45402
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
838936599
Principal Investigator:
Anil Chaudhary
President
(937) 431-5100
anil@appliedo.com
Business Contact:
B. Krivian
Finance Manager
(937) 431-5100
bj.krivian@appliedo.com
Research Institute:
[1] EDISON WELDING INST. [2] OSUNIV.
Mike Sewell
1250 Arthur E,. Adams Drive
Columbus, OH, 43221 3585
(614) 688-5076
Domestic nonprofit research organization
Abstract
Applied Optimization, Inc., in working with EWI, Inc., Ohio State University, and Boeing Phantom Works, proposes to demonstrate feasibility of using microstructural models to predict the required processing conditions that can produce nanostructured grain sizes in the thermo-mechanical affected zone in friction stir processing [FSP] of 7075-T6 aluminum. First step will be an FSP trial using the processing conditions reported in the literature. The data from this trial will be used as input for models. Microstructure modeling will be physically-based on state variables and mechanisms, the basic inputs to which will be initial microstructure and evolution of temperature, strain and strain-rate versus time during the FSP. Additional microstructure model will be direct morphological simulation of microstructure using the phase field method. Thermo-mechanics evolution during FSP will be modeled using analytical solutions for material flow and temperature field. This will be supplemented with 3-D finite element simulation as needed. The microstructure models and the thermo-mechanics model will be used in tandem to predict processing conditions that will improve upon the results of the FSP trial performed at the start. These new conditions will be used to perform a second FSP trial to demonstrate feasibility of the using the models to optimize FSP to produce nanostructured grain sizes.

* information listed above is at the time of submission.

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