Dynamic, Adaptive Life Models for Drive Train Clutches

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$589,090.00
Award Year:
2004
Program:
SBIR
Phase:
Phase II
Contract:
N68335-05-C-0064
Award Id:
64820
Agency Tracking Number:
N031-0911
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
6 New England Executive Park, Burlington, MA, 01803
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
094841665
Principal Investigator:
Asif Khalak
Lead Research Engineer
(781) 273-3388
akhalak@alphatech.com
Business Contact:
John Barry
Contracts Manager
(781) 273-3388
jbarry@alphatech.com
Research Institute:
n/a
Abstract
ALPHATECH proposes, in conjunction with our partners, Rolls-Royce North America, a novel approach to the on-line prognostic modeling of drivetrain clutch systems, combining dynamic modeling of the clutch transients with physics-of-failure based hazard modeling. In particular, our effort is focused towards the F35B LiftFan clutch, to which our models and techniques will be applied. We extend our oxidation wear model for Carbon-Carbon composites developed under Phase I, and refine this to the LiftFan Clutch application. The goal is to predict clutch problems before they impact vehicle performance, enabling the vision of autonomic logistics through precision sensing and prognosis. The model extends existing LiftFan clutch loading models to address the transient engagement dynamics, and incorporates several physics-of-failure models to address different types of component failures. Further, our physical modeling approach addresses the unique features of this clutch, which has extremely high power density and transient loads. This, combined with the ability to fuse existing anomaly-detection technology, has the potential to provide high-accuracy predictions of future life.

* information listed above is at the time of submission.

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