Award
Portfolio Data
Fretting Fatigue Modeling and Life Prediction
Award Year: 2007
UEI: H593X9MY8ML5
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Congressional District: N/A
Tagged as:
SBIR
Phase II
Awarding Agency
DOW
Branch: NAVY
Total Award Amount: $664,023
Contract Number: N68335-08-C-0011
Agency Tracking Number: N062-126-0594
Solicitation Topic Code: N06-126
Solicitation Number: 2006.2
Abstract
The US Navy is working towards providing more reliable estimates of fatigue life to reduce the risk of component failure during flight and to improve repair schedules while reducing costs. Fretting fatigue is seen as one of the controlling factors in the life of aircraft engine components where cyclic loading leads to contact and slip between mating parts. For instance, the disk/blade assemblies in turbine engines suffer fretting at the dovetail contacts. In the proposed analysis methodology, an analytical model of fretting fatigue crack nucleation based on the uncracked stresses in the contact region provides the component life up to the point of a measurable crack. A finite-element-based approach to model the discrete, arbitrary, 3D crack growth from the measurable, initial crack to the point of failure provides a stress intensity factor history and remaining life estimate. The marriage of the two approaches provides a cradle-to-grave analysis capability for modeling fretting fatigue. Fracture Analysis Consultants Inc. (FAC) along with Research Applications Inc. (RAI), in consultation with Pratt & Whitney, intend to develop and validate such a methodology starting from RAI’s analytical model of fretting fatigue crack nucleation and FAC’s finite-element-based fracture analysis software, Franc3D/NG.
Award Schedule
-
2006
Solicitation Year -
2007
Award Year -
November 20, 2007
Award Start Date -
March 3, 2010
Award End Date
Principal Investigator
Name: Bruce J J Carter
Phone: (607) 254-8815
Email: bruce@fracanalysis.com
Business Contact
Name: Paul A Wawrzynek
Phone: (607) 257-4970
Email: wash@fracanalysis.com
Research Institution
Name: N/A