You are here

Methodology for Fretting Damage and Life Prediction of Turbine Engine Components

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-03-C-0085
Agency Tracking Number: N012-0529
Amount: $0.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 2003
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
11772 Sorrento Valley Road, Suite 260
San Diego, CA 92121
United States
DUNS: 878945591
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jalees Ahmad
 Director
 (858) 259-7541
 raisd01@att.net
Business Contact
 Jalees Ahmad
Title: Director
Phone: (858) 259-7541
Email: raisd01@att.net
Research Institution
N/A
Abstract

The goal of the proposed is to develop a product that would be directly used by the Navy and the engine OEMs in PHM and significant fretting fatigue life enhancement of Navy enginecomponents. The product will be in the form of a thoroughly validated and demonstrated methodology and software directly applicable to gas turbine engine components. The methodology is based on a novel fretting fatigue model whose validity has beendemonstrated by comparison with experimental measurements. The proposed effort will extend the applicability of the model to a variety of conditions relevant to turbine engine operating conditions. The resulting enhancements will be experimentallyvalidated and demonstrated on an engine component. The need for a fretting fatigue life prediction model goes well beyond military and aerospace structures. A much broader market exists in virtually all mechanical equipment industries such as automotive,heavy equipment (e.g. Caterpillar), electronics and electrical, health (orthopedic implants) and MEMS. The proposed product will have an immediate and broad market.

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

US Flag An Official Website of the United States Government