Generating Correlated Corrosion Life Predictions from Affordable Accelerated Test Data

Award Information
Agency: Department of Defense
Branch: Army
Contract: W56HZV-08-C-0068
Agency Tracking Number: A072-205-0840
Amount: $69,789.00
Phase: Phase I
Program: SBIR
Awards Year: 2007
Solitcitation Year: 2007
Solitcitation Topic Code: A07-205
Solitcitation Number: 2007.2
Small Business Information
IMPACT TECHNOLOGIES, LLC
200 Canal View Blvd, Rochester, NY, 14623
Duns: 073955507
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Gregory Kacprzynski
 Manager, Advanced Programs
 (585) 424-1990
 greg.kacprzynski@impact-tek.com
Business Contact
 Mark Redding
Title: President
Phone: (585) 424-1990
Email: mark.redding@impact-tek.com
Research Institution
N/A
Abstract
Impact Technologies LLC, in collaboration with the Ohio State Fontana Corrosion Center, proposes to develop and demonstrate an innovative multi-scale Bayesian-based approach for both correlating probabilistic corrosion model predictions with accelerated test data and for definitively improving the accuracy of models as experience grows. Since the Army is currently challenged with costly and burdensome full-scale accelerated corrosion testing, this program also promises to provide a flexible software architecture with which tuned models, in conjunction with component and/or subassembly tests, can serve to validate vehicle corrosion performance more affordably. In a comprehensive Phase I software demonstration, the development team will highlight automated model correlation processes, based on an accelerated vehicle subassembly corrosion test performed at the OSU Fontana Center. As an HLA-Compliant toolkit for corrosion modeling, we will further demonstrate how varied data sources such as service life histories, expert rulebases, accelerated tests and correlated lifing models can be integrated to generate reliability predictions as a function of expected platform usage, maintenance and environment.

* information listed above is at the time of submission.

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