SBIR/STTR Research Award

Coating Health Sensor System and Service Life Model

Award identifier 6d54b85d299483aec67274c3318f7afb826327409df4ff9dc7c1665c69891c6dAwarding agency Department of Defense · Navy

Award amount

$78,628

Program and phase

SBIR · Phase I

Award year

2011

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
Computational Mechanics International Inc
Proposal award date
2011-08-16
Contract end date
Not reported
UEI
TP1PL4Z11MY2
Solicitation number
2011.1
Topic code
N111-048

Research abstract

Computational Mechanics Inc. (CMI) will develop a paint coating condition or"health"monitoring system that can signal without tank entry by an inspector when a coating actually needs possible repair. It will also provide diagnostic assistance in assessing with a high degree of confidence whether or not a coating needs to be replaced through the use of a service life prediction model. The coating sensor can be considered as an enhanced CP system as it will be developed based on the typical components used in a cathodic protection system combined with software simulation technology to provide a"smart"system to identify the current state of the coating system and to forward predict its condition over the life of the vessel. A key innovation will be the integration with the simulation model as this will enable the system to automatically extract and interpret information about the condition of the coating. The simulation model will be based upon similar technology to that used in the BEASY Corrosion and CP software which has been widely used to model Galvanic Corrosion and Cathodic Protection systems. The models are based on Boundary and Finite Element Technology to model the IR drop and electric fields in the electrolyte, models of the electrode kinetics on the metal surfaces and coating degradation models. A key feature of the proposed technology is that results suggest that good predictions of the overall coating condition can be achieved even if the open circuit corrosion potential is unknown, the polarization curve is non-linear and unknown and there are unknown reference electrodes offsets. Therefore the usual detailed inputs into a model are not required. The coating degradation model will provide data on the performance of the coating at a particular location at the time the measurements are made. It will also use historical data to predict how the degradation is expected to change over the service life to provide data for maintenance planning.

Technology keywords

Not reported

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Agency intelligence

Department of Defense

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