Three-Dimensional Nonlinear Structural Analysis Methods for Gas Turbine Engine Metallic Components and Component Assemblies

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-06-M-5243
Agency Tracking Number: F061-095-4058
Amount: $99,994.00
Phase: Phase I
Program: SBIR
Awards Year: 2006
Solicitation Year: 2006
Solicitation Topic Code: AF06-095
Solicitation Number: 2006.1
Small Business Information
11 Apollo Drive, Whippany, NJ, 07981
DUNS: 015334899
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 William Marscher
 Technical Director
 (973) 326-9920
Business Contact
 William Marscher
Title: President
Phone: (973) 326-9920
Research Institution
The proposed system will be capable of providing diagnostic and prognostic nonlinear structural analysis for gas turbine engine metallic components and component assemblies. This approach will use vibration testing and analysis techniques that have proven to be successful for determining turbomachinery structural health, and tie them together with a software program utilizing “artificial intelligence”. Vibration data will be recorded with sensors in key locations during engine operation. This data will be analyzed by an autonomous software program using curve fitting of natural frequency peaks, interference diagrams, a detailed finite element model, and comparisons to previously recorded vibration signatures. When a shift in a natural frequency is detected by the on-board sensors, a simulated crack is introduced into the FEA model and its size and location are adjusted until the analytical vibration predictions match the measured data. The efficiency of this process is increased significantly by the use and understanding of an interference diagram, as the location and size of a crack can be deduced by knowing the specific modes that have been influenced. The results of the finite element model will provide the crack size and location information needed for detailed fracture mechanics calculations and predictions for remaining component life.

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

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