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Improved Life Prediction of Turbine Engine Components

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
62364
Program Year/Program:
2003 / SBIR
Agency Tracking Number:
F031-3204
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
RESEARCH APPLICATIONS, INC.
11772 Sorrento Valley Road Suite 260 San Diego, CA 92121
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Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: Yes
 
Phase 1
Fiscal Year: 2003
Title: Improved Life Prediction of Turbine Engine Components
Agency / Branch: DOD / USAF
Contract: F33615-03-M-5213
Award Amount: $99,925.00
 

Abstract:

The proposed project will lead to a validated methodology for accurate life prediction of surface treated turbine engine components prone to fretting fatigue. The objective of this Phase I SBIR is to develop a modeling framework, and demonstrate itsfeasibility for further development in Phase II, by analyzing existing test data on fretting fatigue of surface treated laboratory specimens. In collaboration with Pratt & Whitney the need for a mechanistic methodology to characterize and predict frettingfatigue life of surface treated structural components has been identified. Once developed and validated, the methodology would enable prediction of the effect of redistribution of residual stresses on fretting fatigue life and on component distortions-issues important to useful remaining life predictions and prognostic health management. Furthermore, by quantifying the benefit, the methodology would enable more realistic cost-benefit analyses of surface treatment applications in current as well asfuture engines. By providing a unique modeling capability that allows combined consideration of fretting fatigue and surface treatment/residual stresses, the product will be readily marketable to aerospace propulsion and structures, automotive, energyproduction (e.g. land based gas and steam turbine engines) and other industries.

Principal Investigator:

Jalees Ahmad
Director
8582597541
raisd01@att.net

Business Contact:

Jalees Ahmad
Director
8582597541
raisd01@att.net
Small Business Information at Submission:

RESEARCH APPLICATIONS, INC.
11772 Sorrento Valley Road, Suite 145 San Diego, CA 92121

EIN/Tax ID: 311416046
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No