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Fretting Fatigue Model

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: F33615-02-M-3204
Agency Tracking Number: 012VA-0388
Amount: $63,450.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 2001
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
6669 Fyler Ave.
St. Louis, MO 63139
United States
DUNS: 018571666
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Scott Prost-Domasky
 Dir, Finite Element Tech.
 (314) 644-6040
 prost@apesolutions.com
Business Contact
 Craig Brooks
Title: President
Phone: (314) 644-6040
Email: cbrooks@apesolutions.com
Research Institution
N/A
Abstract

The multi-task objectives of the plan discussed in this proposal are: research the role and effects of fretting on structural life of components, develop and demonstrate the feasibility of integrating candidate fretting fatigue predictive analytic model(s)into structural integrity methods, integrate and implement the techniques for applications to present and future U.S. military weapons programs, commercial aviation, automotive, and mechanical equipment and provide industry access to the predictive toolsand information for commercialization. Fretting, as defined by the American Society for Metals Handbook Volume 10: Failure Analysis and Prevention, is a wear phenomenon that occurs between two mating surfaces: it is adhesive in nature, and vibration is itsessential causative factor. Usually fretting is accompanied by corrosion. In general, fretting occurs between two tight fitting surfaces that are subjected to a cyclic, relative motion of extremely small amplitude. Fretted regions are highly sensitive tofatigue cracking. Under fretting conditions fatigue cracks are nucleated at very low stresses. Nucleation of fatigue cracks in fretted regions depends mainly on the state of stress on the surface and particularly on the stresses superimposed on the cyclicstress. The time to nucleation of cracks can be significantly reduced as a result of fretting. Common sites for fretting are in joints that are bolted, keyed, pinned, press fitted, and riveted. These sites are common in the assembly of most air vehicles,ground vehicles, power plants, equipment, and machinery. All applications that have safety issues, maintenance issues, and service life requirements will benefit from quantitative methods that provide the impact of fretting on the component's service. Theapproach APES, Inc. proposes for this SBIR improves the Holistic Life Prediction Methodology (HLPM) and the corresponding software ECLIPSE that implements the HLPM by adding a fretting fatigue capability that will be validated and verified withexperimental and field service data (if available). Phase II's product will be a robust analytical approach that adequately accounts for fretting fatigue mechanisms and influences on predicted structural lives, having tremendous potential for improvingdurability and damage tolerance (DADT) in many industries. The aircraft industry, both commercial and defense, will be the first industry recipient of the applications afforded by this program. Systems in the aircraft industry that will be affordedbenefits by improved analytical fretting fatigue approaches include transports, fighters, helicopter, commercial, small aircraft, and their subsystems, including engines.A robust analytical approach will have many benefits to other industries besides the aircraft industry. Improvements in analytical methods in the automotive, heavy machinery and medical device industries will be possible. For instance, fretting and wear inautomotive engines and other components with moving parts such as differentials and transmissions are difficult problems that can become quite costly over the life of an automobile. Also, it is well known that wear and fretting in heavy machinery costbusinesses millions each year in maintenance downtime, repair bills, and capital costs for replacement machinery; improvements in analytical predictive methods will contribute to improved maintenance, inspection and intended usage procedures for this typeof equipment.

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

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