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Probabilistic Prediction of Location-Specific Microstructure in Turbine Disks

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-10-M-0266
Agency Tracking Number: N10A-028-0028
Amount: $70,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N10A-T028
Solicitation Number: 2010.A
Timeline
Solicitation Year: 2010
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-06-28
Award End Date (Contract End Date): 2011-04-30
Small Business Information
2901 Benvenue Ave.
Berkeley, CA 94705
United States
DUNS: 102090847
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Shmuel Weissman
 President & CEO
 (510) 528-1251
 sweissman@symplectic.com
Business Contact
 Shmuel Weissman
Title: President & CEO
Phone: (510) 528-1251
Email: sweissman@symplectic.com
Research Institution
 University of California, Berkeley
 Panos Papadopuolos
 
6131 Etcheverry Hall University of California
Berkeley, CA 94720
United States

 (510) 642-3358
 Nonprofit College or University
Abstract

Turbine efficiency improves with increased operating temperature. Consequently, the rim zone of disks operates at high temperatures where creep is the main concern. The bore and web zones operate at lower temperatures, where strength is the driving design criterion. Procedures to produce disks that can meet both demands include dual heat-treatment and hybrid disks. A thin transition zone forms in disks produced with either of these technologies, which is characterized by location-specific three-dimensional microstructure and residual bulk stresses. The objective of this project is to enable the optimization of advanced nickel-base superalloy turbine disks by developing probabilistic modeling and simulation methods to predict location-specific microstructure and bulk residual stresses. Symplectic Engineering is proposing to develop a multi-scale model to meet this objective. The global (disk) scale will be represented as a coupled thermal-mechanical system, approximated by a three-dimensional finite elements model. A number of models will be combined to produce the local-scale representation including gamma-prime coarsening and grain growth. The two scales will interact independently at each Gauss point of the global-scale finite element mesh. The performance of the proposed model will be demonstrated by simulating the forging of a dual heat-treated disk, and contrasting the prediction with experimental data.

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

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