USA flag logo/image

An Official Website of the United States Government

Corrosion Modeling and Life Prediction Supporting Structural Prognostic Health…

Award Information

Department of Defense
Air Force
Award ID:
Program Year/Program:
2006 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Impact Technologies, LLC
200 Canal View Blvd Rochester, NY -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2006
Title: Corrosion Modeling and Life Prediction Supporting Structural Prognostic Health Management
Agency / Branch: DOD / USAF
Contract: FA8650-06-M-5022
Award Amount: $99,952.00


Objective: Impact Technologies, in collaboration with Ohio State University (OSU) and with the support of Northrop Grumman Integrated Systems, propose to develop a novel framework for corrosion prognosis addressing corrosion initiation and differentiation physics of failure models, imperfect damage estimates and global to local electrochemical transfer functions. Using both new and historical data on aerospace aluminum alloys available at the OSU Fontana Corrosion Center, the research team will develop reasoning methods for capturing the influence of key microclimatic, metallurgical and electrochemical effects on corrosion initiation and failure mode differentiation. In addition, a Bayesian Inference tool will be developed to calibrate the physics-of-failure models as evidence from inspection becomes available so that the frequency of such inspections may be reduced or eliminated as the prognostic system is validated. Being fully aware of costs of corrosion inspections and limitations on obtaining microclimatic data, the team will report on the relative benefit of obtaining and tracking various data types within the constraints of planned autonomic logistics systems and provide suggested interface design specifications for a corrosion PHM module. Finally, a comprehensive software demonstration of the corrosion prognosis module will be developed and presented illustrating model-based damage predictions vs. experimental data.

Principal Investigator:

Gregory J. Kacprzynski
Manager, Advanced Programs

Business Contact:

Mark L. Redding
Small Business Information at Submission:

200 Canal View Blvd Rochester, NY 14623

EIN/Tax ID: 161567136
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No