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Probabilistic Prediction of Location-Specific Microstructure in Turbine Disks

Award Information

Department of Defense
Award ID:
Program Year/Program:
2010 / STTR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
NAVY 10T028
Solicitation Number:
Small Business Information
UES, Inc.
4401 Dayton-Xenia Road Dayton, OH 45432-1894
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Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2010
Title: Probabilistic Prediction of Location-Specific Microstructure in Turbine Disks
Agency / Branch: DOD / NAVY
Contract: N00014-10-M-0265
Award Amount: $69,972.00


Thermo-mechanical processes of turbine disks have been progressively improved to meet microstructural requirements tailored for advanced, sustainable high temperature performances. However, the chemistry of typical Ni-base turbine disk alloys is very complex, and yields a variety of phases and microstructural anomalies under different thermo-mechanical heat treatments. These microstructural heterogeneities and anomalies often limit thermo-mechanical behaviors of turbine disks. The proposed Phase I program will focus on the development of multi-physics based computational tools and approaches for the prediction of HT-processing dependent microstructures, the characterization of their statistical features/anomalies and the corresponding mechanical responses, and the identification of the critical microstructural feature that may limit the performance life. A conventional Ni-base polycrystalline superalloy IN718 was chosen as a target material for the proposed work because of its most common usage for the turbine disk application and the large amount of data available from various resources. Due to the microstructural complexity of IN718, the property prediction requires rigorous numerical approaches to account for microstructural heterogeneities. The successful completion of Phase I efforts will bring microstructure-sensitive computational tools and approaches for the evaluation of differently processed IN718 disk alloys.

Principal Investigator:

Yoon-Suk Choi
Research Scientist'

Business Contact:

Bryce Skinn
Business Relations Manage
Small Business Information at Submission:

UES, Inc.
4401 Dayton-Xenia Road Dayton, OH 45432

EIN/Tax ID: 310797776
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
The Pennsylvania State University
248 Deike Building
University Park, PA 16802
Contact: Sue A. Lavan
Contact Phone: 8148657650