Design Tool for Fatigue Sensitive Steel Rotorcraft Components

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911W6-06-C-0062
Agency Tracking Number: A052-063-1042
Amount: $729,913.00
Phase: Phase II
Program: SBIR
Awards Year: 2006
Solitcitation Year: 2005
Solitcitation Topic Code: A05-063
Solitcitation Number: 2005.2
Small Business Information
DEFORMATION CONTROL TECHNOLOGY, INC.
7261 Engle Road, Suite 105, Cleveland, OH, 44130
Duns: 101533339
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 B. Lynn Ferguson
 President
 (440) 234-8477
 lynn.ferguson@deformationcontrol.co
Business Contact
 Andrew Freborg
Title: Senior Engineer
Phone: (440) 234-8477
Email: andy.freborg@deformationcontrol.com
Research Institution
N/A
Abstract
In modernizing its rotorcraft fleet, the US Army has identified the pressing need to increase the horsepower of existing rotorcraft transmissions without sacrificing component life, as well as the need for new transmission designs with higher power density capacity and improved durability. The concept of improving fatigue resistance without enlarging the design envelope or imposing changes that would require new part qualifications is attractive from both cost and time savings standpoints. Data and results from Phase I have provided new information concerning laser shock peening application and residual stress response in carburized Pyrowear 53 steel. Laser peening can improve fatigue life by achieving high levels of residual compression to significant depths in a given part. Promising modeling work associated with the Phase I physical testing has laid the foundation for a computer design tool, enabling laser peening residual stress prediction in combination with other manufacturing processes, such as prior heat treating. Phase II will characterize fatigue life improvement in carburized and hardened Pyrowear 53 steel by laser shock peening. Experimental results will be used to aid the development, validation and commercialization of a process modeling design tool for predicting the residual stresses which drive the fatigue life improvement.

* information listed above is at the time of submission.

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