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51313-02178-Improved Asset Management Through Corrosion Health Monitoring

Picture for Improved Asset Management Through Corrosion Health Monitoring
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Product Number: 51313-02178-SG
ISBN: 02178 2013 CP
Author: Fritz Friedersdorf
Publication Date: 2013
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$20.00
$20.00

The military spends billions of dollars annually on inspection and repair of damage resulting from corrosion of high value assets including aircraft and support equipment. Currently available methods for identifying and preventing corrosion involve labor intensive scheduled inspections and maintenance that are costly and reduce asset availability. In order to increase overall safety availability and operational efficiency an online monitoring system capable of fusing data streams from an array of environmental and corrosivity sensors has been developed. The sensing system has been designed to provide autonomous indications of corrosive severity throughout an airframe. The sensors system design and corrosivity classification methods will be detailed. Results and analysis of the wireless ultra-low power sensor network performance in both laboratory corrosion tests and on-aircraft service environments will be given. By providing a high level of visibility into the cumulative corrosion current conditions and projections of future corrosivity the system can be used to improve asset management for corrosion control and prevention.
Localized corrosion process such as pitting crevice corrosion exfoliation and environment assisted cracking are difficult to detect and can significantly degrade structural integrity. Luna’s corrosion monitoring system using inputs from various environmental and corrosivity sensors tracks component environmental exposure that controls specific material damage modes as a function of time. Corrosion diagnostic models based on measurements of exposure conditions corrosion rate and cumulative environmental severity can be embedded into the system for embedded real-time corrosion evaluation. By assuming future environmental conditions these models can be used to forecast inspection and maintenance intervals.
The system provides a clear indication of environmental severity exposure conditions and corrosion rates within a structure and the embedded models contained within the system can provide maintainers direct access to understandable and actionable information. These capabilities allow for increased efficiencies in maintenance practices leading to lower costs and increased availability.
 

The military spends billions of dollars annually on inspection and repair of damage resulting from corrosion of high value assets including aircraft and support equipment. Currently available methods for identifying and preventing corrosion involve labor intensive scheduled inspections and maintenance that are costly and reduce asset availability. In order to increase overall safety availability and operational efficiency an online monitoring system capable of fusing data streams from an array of environmental and corrosivity sensors has been developed. The sensing system has been designed to provide autonomous indications of corrosive severity throughout an airframe. The sensors system design and corrosivity classification methods will be detailed. Results and analysis of the wireless ultra-low power sensor network performance in both laboratory corrosion tests and on-aircraft service environments will be given. By providing a high level of visibility into the cumulative corrosion current conditions and projections of future corrosivity the system can be used to improve asset management for corrosion control and prevention.
Localized corrosion process such as pitting crevice corrosion exfoliation and environment assisted cracking are difficult to detect and can significantly degrade structural integrity. Luna’s corrosion monitoring system using inputs from various environmental and corrosivity sensors tracks component environmental exposure that controls specific material damage modes as a function of time. Corrosion diagnostic models based on measurements of exposure conditions corrosion rate and cumulative environmental severity can be embedded into the system for embedded real-time corrosion evaluation. By assuming future environmental conditions these models can be used to forecast inspection and maintenance intervals.
The system provides a clear indication of environmental severity exposure conditions and corrosion rates within a structure and the embedded models contained within the system can provide maintainers direct access to understandable and actionable information. These capabilities allow for increased efficiencies in maintenance practices leading to lower costs and increased availability.
 

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