
Large military vehicles such as military tanks were exposed to extreme physical and environmental conditions during the war, in addition after the war the vehicles were left unattended for an unidentified period in the uncontrolled environment resulting accelerated aging mechanisms. Corrosion is one of the growing persistent problems in the vehicles in the Tank Museum Bovington. The historic vehicles are stored in the museum in two distinct controlled and uncontrolled environments with a transitional mode when vehicles move between the two. Varying environmental conditions together with operational factors pose a significant risk to the vehicles.
To preserve these vehicles in a valuable state for the benefit of the society, sustainable conservation techniques are required to slow or suspend the deterioration within these historic vehicles. Extraordinary interests and efforts of the Director of The Tank Museum Mr. Richard Smith lead to the design of a research project between Sustainable Design Research Center Bournemouth University and The Tank Museum Bovington. The research project is supervised by Dr. Zulfiqar Khan, Dr. Nigel Garland and Dr. Martin Hind, while Mr. Adil Saeed is the researcher.
For this purpose an experimental study was conducted by Sustainable Design Research Group together with AGR technology design to understand the prevailing mechanisms of failures due to various modes of corrosion. To show their support to British historic heritage and academia Mr. Mark Clark, general manager, and Mr. Mark Nel, applications advisor, AGR Technology Design, provided unconditional support and complimentary use of TD focus scan to map corrosion and associated material loss. The system is designed to map corrosion using multichannel phased array, time of flight diffraction (TOFD) and pulse echo techniques.
Samples from historic military tanks (a) M10 (b) Sherman and (c) Centaur were brought to and investigated at AGR Technology Design for material loss due to corrosion. The ultrasonic scan revealed a staggering material loss due to corrosion and surface anomalies in the samples. The statistics obtained will be used to recommend protective mechanisms to decelerate or suspend the corrosion process.


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