Non-intrusive Acoustic Measurement of High Cycle Fatigue in Gas Turbine Engines

Award Information
Agency:
Department of Defense
Amount:
$69,992.00
Program:
SBIR
Contract:
N00421-04-P-0783
Solitcitation Year:
2004
Solicitation Number:
2004.1
Branch:
Navy
Award Year:
2004
Phase:
Phase I
Agency Tracking Number:
N041-009-1058
Solicitation Topic Code:
N04-009
Small Business Information
TECHNOLOGY IN BLACKSBURG, INC.
2901 Prosperity Rd, Blacksburg, VA, 24060
Hubzone Owned:
Y
Woman Owned:
N
Socially and Economically Disadvantaged:
Y
Duns:
003220998
Principal Investigator
 Stephen Guillot
 Vice President of Enginee
 (540) 961-4401
 sguillot@techsburg.com
Business Contact
 Tamara Murray
Title: Business Manager
Phone: (540) 961-4401
Email: tmurray@techsburg.com
Research Institution
N/A
Abstract
Techsburg proposes to explore and demonstrate an innovative approach for non-intrusive sensing of rotor blade vibrations using microphone pressure sensors imbedded into the casing of a gas turbine aero-engine. This non-intrusive sensing strategy is intended to serve an engine health management system capable of monitoring blade material conditions as it pertains to high cycle fatigue (HCF). In this Phase I work, an array of microphones is to be distributed throughout the engine casing to detect the acoustic pressure waves elicited by forced blade vibrations. A proof-of-concept experiment will be performed at the Stage Matching Investigation (SMI) rig at the Compressor Aerodynamic Research Laboratory (CARL) of AFRL in Dayton, Ohio. The casing-mounted microphone signals will be correlated to the on-blade strain measurements in order to develop this non-intrusive blade vibration sensing technique. Phased-array signal processing techniques will be used to provide a high SNR indicator of the rotor blade vibration amplitudes. Then in Phase II of this work, an array of low-cost micro-electromechanical systems (MEMS) pressure sensors will be used to demonstrate a more flight-worthy software/hardware package capable of detecting blade vibrations real-time.

* information listed above is at the time of submission.

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