Modeling Spin Test Using Location Specific Material Properties

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,500.00
Award Year:
2009
Program:
STTR
Phase:
Phase I
Contract:
FA9550-09-C-0056
Award Id:
90132
Agency Tracking Number:
F08A-013-0117
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
2545 Farmers Drive Suite 200, Columbus, OH, 43235
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
789156841
Principal Investigator:
Wei-TsuWu
Executive Vice President
(614) 451-8322
wwu@deform.com
Business Contact:
JuipengTang
President
(614) 451-8320
jtang@deform.com
Research Institute:
NORTHWESTERN UNIV.
Gregory B Olson
633 Clark Street
Evanston, IL, 60208-1110
(847) 491-2847
Nonprofit college or university
Abstract
To meet the demands of increasing thrust and high pressure ratios of jet engines, nickel based superalloy engine components are manufactured with dual microstructure distributions. Fine grain, high strength bore properties are contrasted with coarser grain, creep resistant rim properties. It is critical to evaluate the performance of jet engine disks during spin pit test as well as under service conditions. The proposed work focuses on incorporating modeling infrastructure to analyze the disk behavior during spin pit test using location specific material properties. The effects of residual stresses and local microstructure features from the prior thermo-mechanical processing along with the centrifugal forces due to high cyclical rotational speed encountered during the spin test need to be analyzed for its impact on the burst speed and permanent disk growth. We propose to implement an infrastructure in DEFORM modeling system to handle location specific material properties and microstructure features such as grain size, orientation and precipitate size. Critical variable affecting plastic strain and burst speed of the disk will be studied. At the end of the first phase, we would study and propose models for grain evolution, precipitation and creep behavior. Applicable tensile strength prediction models will be evaluated for future implementation.

* information listed above is at the time of submission.

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