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Thermal Barrier Coating Life Determination

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-06-C-2614
Agency Tracking Number: F051-179-2609
Amount: $748,820.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: AF05-179
Solicitation Number: 2005.1
Timeline
Solicitation Year: 2005
Award Year: 2006
Award Start Date (Proposal Award Date): 2006-05-15
Award End Date (Contract End Date): 2008-09-15
Small Business Information
5555 Northwest Parkway
San Antonio, TX 78249
United States
DUNS: 154564306
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Madhavrao Govindaraju
 Senior Research Engineer
 (210) 582-3312
 rao@karta.com
Business Contact
 Susan Wright
Title: Director, Contracts & Pro
Phone: (210) 582-3252
Email: swright@karta.com
Research Institution
N/A
Abstract

Durability of Thermal Barrier Coatings (TBCs) used in gas-turbine engines to thermally protect metal components such as turbine blades from hot combustion gases is a major concern to the aerospace industry and in particular the Air Force. The objective of this project is to develop an analytical approach to determining remaining durable life of thermal barrier coated engine components using Nondestructive Inspection data input. In Phase I, Karta identified oxidation of bond coat as a dominant factor leading to TBC failure. Determining the thickness of the thermally grown oxide (TGO) layer and measuring residual stresses in the TGO layer are critical to developing reliable remaining-life prediction models. Karta will measure the TGO thickness using Impedance Spectroscopy and measure the residual stresses using the Photo-Stimulated Luminescence Piezospectroscopy technique. Analytical models developed in Phase I will be validated by extensive laboratory testing. The proposed NDI techniques will be validated by laboratory tests. Remaining life models developed in Phase I will be validated by burner rig tests to simulate actual engine environments and by testing service run engine components, such as airfoils. The models will use neural network analysis for calculating the remaining life of coatings.

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

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