SBIR/STTR Research Award

Galvanic Corrosion Prediction for Aircraft Structures

Award identifier 0651a05681da83d4437ba5ae051cb48e90e1e186f747863fdc008a3a73f86353Awarding agency Department of Defense · Air Force

Award amount

$149,600

Program and phase

SBIR · Phase I

Award year

2014

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
Corrdesa, LLC
Proposal award date
2014-06-17
Contract end date
2015-03-04
UEI
LAN1GKRJFQE5
Solicitation number
2014.1
Topic code
AF141-157

Research abstract

ABSTRACT: Corrdesa is validating a finite element analysis method of predicting galvanic corrosion locations and relative severity between dissimilar metals using commercially available GalvanicMaster software. This project will demonstrate that this same approach can be modified and extended to quantitatively predict corrosion rates between dissimilar materials, including metals, composites, and in Phase II anodized layers and metal-filled polymers. The methodology will be defined to acquire electrochemical data (polarization and impedance) from these materials as a function of time under well-defined conditions. This methodology will be added to our Best Practices document, and the data to our galvanic corrosion database, which together with the software constitute a galvanic prediction trade tool. Using this data we will predict the galvanic corrosion pattern ("hot spots") and rate over time for bare 7050-T7451 aluminum against the exposed fibers of a carbon fiber/epoxy composite cross-section in a simple, well-defined, galvanic assembly. The predictions will be validated against quantitative corrosion measurements made for the assembly in a B117 test chamber, overlaying the predictions onto the assembly"s CAD model, compared directly with measured material loss across its surface. In Phase II the methodology will be validated against additional materials and more complex systems. BENEFIT: The Phase I program will demonstrate that the methodology we are developing can be used for quantitative prediction, and hence for lifing. The Phase II program will develop the methodology into a quantitative galvanic prediction trade tool comprising predictive software, well-defined data acquisition methods, and the beginning of a database of reliable electrochemical data for quantitative prediction. This tool will provide OEMs with the capability of analyzing systems for corrosion in the design phase, just as they currently analyze for stress, heat flow, etc. The tool will also give DoD engineers a way to predict corrosion rates for weapons systems and define overhaul schedules to minimize corrosion risk and service failure, while maximizing on-wing time. The overall benefit to DoD of adopting these tools in both the design and sustainment phases will be a significant reduction in the $20 billion/year cost of corrosion.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

17 SBIR/STTR records share this UEI (2012–2024). Reported award amounts total $12,642,133. Reported amounts are not federal obligations.

Phases: Phase II, Phase I, Phase II – Direct to Phase II

Agencies: Department of Defense, Department of Energy

Agency intelligence

Department of Defense

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