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Three-Dimensional (3-D) Crack Growth Life Prediction for Probabilistic Risk Analysis of Turbine Engine Metallic Components

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-11-M-5136
Agency Tracking Number: F103-157-1380
Amount: $99,768.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF103-157
Solicitation Number: 2010.3
Solicitation Year: 2010
Award Year: 2011
Award Start Date (Proposal Award Date): 2011-02-09
Award End Date (Contract End Date): N/A
Small Business Information
121 Eastern Heights Drive
Ithaca, NY -
United States
DUNS: 608112389
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Paul Wawrzynek
 Managing Engineer
 (607) 257-4970
Business Contact
 Paul Wawrzynek
Title: Managing Engineer
Phone: (607) 257-4970
Research Institution

ABSTRACT: The Air Force has been placing increased emphasis on probabilistic methods for predictions of design reliability of fracture critical engine components, including metallic turbine engine blades and disks. Current state-of-the-practice for these methods typically include a significant amount of conservatism in crack initiation and fatigue crack growth and inspection design criteria due to uncertainties in material properties, fatigue performance, crack growth analysis, stress analysis, residual stresses, damage mechanisms, and nondestructive inspection, among others. We propose to develop and demonstrate a new probabilistic life prediction methodology that will significantly reduce uncertainty and conservatism by employing an accurate mechanics based crack growth analysis. We will combine an existing high fidelity 3D crack growth simulator (FRANC3D) with an existing probabilistic life prediction code (DARWIN). Both codes are recognized as being the most mature and the most capable codes in their areas of specialization (high fidelity crack modeling and probabilistic life prediction , respectively). The new methodology is expected to reduce conservatism in probabilistic life predictions, thus extending component lives or inspection intervals. The proposed effort includes the involvement of a major engine OEM. BENEFIT: Current probabilistic methodologies for setting fatigue lives and inspection intervals for metallic engine components include a significant amount of conservatism due to uncertainties in the, among other things, crack growth analysis. The proposed effort will combine a high fidelity crack growth simulator (FRANC3D) with a probabilistic fatigue life calculator (DARWIN). The resulting tool and methodology is expected to reduce conservatism in probabilistic life predictions, thus increasing the predicted mean time to failure. For a constant relative probability of failure this will extend the allowable component life and inspection intervals. Extending component fatigue lives and inspection intervals will yield significant costs saving over the lifetime of the engine. The resulting methodology can be used in non-engine applications such as airframes, land and sea based turbines, and terrestrial vehicles.

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

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