SBIR-STTR Award

Advanced Modeling to Characterize Failure Progression Rates from the Incipient Stage to Component Failure
Award last edited on: 4/1/2002

Sponsored Program
SBIR
Awarding Agency
DOD : Navy
Total Award Amount
$99,942
Award Phase
1
Solicitation Topic Code
N01-182
Principal Investigator
Raymond Valori

Company Information

AERA Inc

6350 Walker Lane Suite 100
Alexandria, VA 22310
   (703) 922-4760
   cproulx@aera.com
   www.aera.com
Location: Multiple
Congr. District: 08
County: Fairfax

Phase I

Contract Number: N68335-02-C-3029
Start Date: 11/26/2001    Completed: 5/26/2002
Phase I year
2002
Phase I Amount
$99,942
Advanced failure progression modeling will be demonstrated on selected gear and bearing components for the purpose of providing a basis for fully enabling the Prognostics and Health Management (PHM) to assess the remaining useful life of components and their risk to catastrophic failure. Fracture Mechanics methods within a framework of Finite Element Analysis (FEA) will be applied to a crack in the root of a spiral gear tooth to simulate crack growth to final failure. The gear selected for analysis will be one of those for which the Naval Air Warfare Center (NAWC) has generated full scale H60 helicopter drive system testing. The data will provide a basis for validating the model. Additional fracture mechanics analysis will be developed to determine a risk factor for catastrophic bearing inner ring fracture in the presence of a fatigue spall. The risk factor will be based on sensitivity to fracture of bearing geometry, bearing/shaft interference fit, material fracture toughness and operating speed and load.

Benefits:
The models provide benefit by more accurately predicting the remaining useful life of components. Model development will provide a basis for: (1) developing improved diagnostic algorithms for fault detection, (2) assessing the risk to catastrophic failure of detected bearing faults, (3) understanding component failure progression rates, and (4) determining more accurate inspection and maintenance intervals. Commercial applications apply to aviation and power generation rotating machinery. Industry using health monitoring systems, condition-based maintenance, diagnostic or predictive analysis for rotating machinery will benefit.

Keywords:
Modeling, Diagnostics , Failure Progression Rates, Prognostics and Health Management

Phase II

Contract Number: ----------
Start Date: 00/00/00    Completed: 00/00/00
Phase II year
----
Phase II Amount
----