SBIR/STTR Research Award

Computational Corrosion Modeling for Condition Based Maintenance Plus (CBM+) / Aircraft Environment Tracking

Award identifier d3c2092a3cac507c3155c2f10b7ecd2ed8a2271b64316a93ad6ab85167da3e4eAwarding agency Department of Defense · Air Force

Award amount

$359,899

Program and phase

SBIR · Phase II

Award year

2018

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
Adirondack Analytics
Proposal award date
2018-09-19
Contract end date
2020-09-19
UEI
EB1HPC64M7W9
Solicitation number
17.1
Topic code
AF171-095

Research abstract

The Corrosion Rate Enabled Wash Cycle Updating Technique (CREWCUT) is designed to provide a conditioned-based approach to optimize aircraft and support equipment washing cycle practices, which are currently time-based. It is proposed as an enterprise information system that will automatically extract asset usage (e.g., aircraft flight and deployment history), correlate it to data representing the environmental exposure conditions experienced during operations and ground-based storage, and use algorithms based upon an existing state-of-the-art corrosion modeling system to project washing cycle lengths and associated washing dates. Furthermore, the system will be designed to track cumulative environmental exposure of individual assets such as aircraft, which will enable the fleet to be ranked by the severity of exposure. CREWCUT algorithms were developed and demonstrated under the Phase I SBIR effort. Massive amounts of asset usage, environmental, and system stakeholder data was collected to facilitate the timely transition to a Phase II effort. The system will be designed to function with very little human intervention and will send automated wash cycle notices to individuals responsible for washing individual aircraft/support equipment. In addition, the system will be capable of sending fleet status reports to the MAJCOM corrosion manager.

Technology keywords

Not reported

Other awards by this recipient

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Awards with the same topic code

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Agency intelligence

Department of Defense

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