In-Situ Corrosion Health Monitoring and Prediction in Military Vehicles

Dr Hammad Nazir; Zulfiqar Ahmad Khan

In-Situ Corrosion Health Monitoring and Prediction in Military Vehicles

Faculty of Computing, Engineering and Science

Research output: Contribution to conference › Poster › peer-review

Abstract

The proposed research work will develop better understanding of corrosion behaviour and response to external factors and develop techniques to optimise relevant design parameters to design these vehicles for durability and reliability. The proposed research will develop novel precision based solutions for live condition monitoring to identify aging, degradation and deterioration issues in their earliest stages for appropriate actions.

Original language	English
Publication status	Published - 1 Jun 2013

Cite this

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title = "In-Situ Corrosion Health Monitoring and Prediction in Military Vehicles",

abstract = "The proposed research work will develop better understanding of corrosion behaviour and response to external factors and develop techniques to optimise relevant design parameters to design these vehicles for durability and reliability. The proposed research will develop novel precision based solutions for live condition monitoring to identify aging, degradation and deterioration issues in their earliest stages for appropriate actions.",

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N2 - The proposed research work will develop better understanding of corrosion behaviour and response to external factors and develop techniques to optimise relevant design parameters to design these vehicles for durability and reliability. The proposed research will develop novel precision based solutions for live condition monitoring to identify aging, degradation and deterioration issues in their earliest stages for appropriate actions.

AB - The proposed research work will develop better understanding of corrosion behaviour and response to external factors and develop techniques to optimise relevant design parameters to design these vehicles for durability and reliability. The proposed research will develop novel precision based solutions for live condition monitoring to identify aging, degradation and deterioration issues in their earliest stages for appropriate actions.

M3 - Poster

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