Modeling to Quantify Improved Durability of Superfinish Gear Processing

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$79,990.00
Award Year:
2011
Program:
STTR
Phase:
Phase I
Contract:
N68335-11-C-0420
Award Id:
n/a
Agency Tracking Number:
N11A-007-0168
Solicitation Year:
2011
Solicitation Topic Code:
N11A-T007
Solicitation Number:
2011.A
Small Business Information
7261 Engle Road, Suite 105, Cleveland, OH, 44130-3479
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
101533339
Principal Investigator:
Blake Ferguson
President and Met. Engine
(440) 234-8477
lynn.ferguson@deformationcontrol.co
Business Contact:
Andrew Freborg
Project and MEtallurgical
(440) 234-8477
andy.freborg@deformationcontrol.com
Research Institution:
University of Akron
T. S Srivatsan
ASEC 106C
Akron, OH, 44325-3903
(330) 972-6196
Nonprofit college or university
Abstract
The objective of the proposed project is to develop physics based models which include the effects of surface condition, i.e. surface roughness in combination with residual stress state, on fatigue life. The final objective is the development of an engineering fatigue model to assess the benefits of various surface treatments on gear fatigue life so that performance of rotorcraft powertrains can be improved. Many efforts have sought to improve helicopter gear performance, but a main obstacle has been the lack of a software tool to accurately predict fatigue life to shorten the necessary endurance testing of transmissions and other critical powertrain assemblies. A quantitative materials engineering approach is proposed, using an internal state variable mechanical model that will capture the complicated mechanical behavior associated with residual stress formation, as well as the cumulative strain hardening/softening associated with cyclic fatigue loading. A set of related micro- and macro- models will be developed to model surface and microstructural interactions that result in cyclic softening or hardening. In addition, the use of simplified coupon geometries to represent complex part geometries and service stress states will be achieved through judicious application of finite element based models and statistical methods such as the response surface.

* information listed above is at the time of submission.

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