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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
Scientific Forming Technologies Corporat
2545 Farmers Drive Suite 200 Columbus, OH -
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Woman-Owned: No
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-0264
Award Amount: $69,968.00


While there are established methods available in determining the fatigue life of critical rotating components, there is still room for improvement for better understanding and prediction of life limiting factors. Improved risk assessment of jet engine disk components would require probabilistic modeling capability of the evolution of microstructural features, residual stresses and material anomalies as the disk components undergo thermo-mechanical processing. Currently, the integrated process modeling system DEFORM can only predict the evolution of microstructure deterministically during thermo-mechanical processing. Scientific Forming Technologies Corporation is teaming with Carnegie Mellon University in this project. The objective of this project is to develop a probabilistic modeling framework that enables probabilistic prediction of microstructure evolution and bulk residual stresses due to thermo-mechanical processing. The probabilistic modeling framework in DEFORM will enable the user to systematically analyze the variabilities and uncertainties associated with the processing conditions, boundary conditions, material properties and incoming starting grain size distribution of the billet material, thus providing a probabilistic location specific microstructure response which can be used as an input to the probabilistic lifing model. At the end of phase I, we intend to demonstrate a proof of concept models for probabilistic grain size evolution and residual stresses as a result of thermo-mechanical processing. Our team will work closely with a major jet engine OEM, GE Aviation to develop an implementation and a validation plan. It is envisioned that the implementation and validation of probabilistic modeling of microstructure evolution will be undertaken in the phase II of this project.

Principal Investigator:

Wei-Tsu Wu
Executive Vice President

Business Contact:

Juipeng Tang
Small Business Information at Submission:

Scientific Forming Technologies Corporation
2545 Farmers Drive Suite 200 Columbus, OH 43235

EIN/Tax ID: 311334459
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
Carnegie Mellon University
5000 Forbes Avenue
Pittsburgh, PA 15213-
Contact: Anthony Rollett
Contact Phone: 4122683177