Non-destructive material characterisation and material loss evaluation in large historic military vehicles

This source preferred by Zulfiqar Khan and Adil Saeed

Authors: Saeed, A., Khan, Z.A., Nel, M. and Smith, R.

http://www.bindt.org/Publications

Journal: Insight - Non-Destructive Testing and Condition Monitoring

Volume: 53

Pages: 382-386

ISSN: 1354-2575

DOI: 10.1784/insi.2011.53.7.382

Sustainable methods are needed for the longevity of the large historic vehicles in museum environments and hence it is important to understand material characterisation and the associated material loss in order to devise sustainable preservation methods. This research work focuses on the deterioration of materials due to ageing mechanisms such as corrosion and utilises non-destructive methods of X-ray fluorescence for material characterisation and ultrasonic scanning to record material loss due to corrosion. XRF analysis provided vital information on material composition and therefore materials were classified according to their standards. Iron was the highest constituent, ranging from 91.27% to 99.40%. Other constituents such as silicon and manganese were found to be occurring consistently. Ultrasonic methods of pulse echo and phased array were deployed to obtain the material loss profile of the samples and remaining thicknesses. The results found severe material loss due to corrosion in the samples examined.

This data was imported from Scopus:

Authors: Saeed, A., Khan, Z., Clark, M., Nel, N. and Smith, R.

Journal: Insight: Non-Destructive Testing and Condition Monitoring

Volume: 53

Issue: 7

Pages: 382-386

eISSN: 1754-4904

ISSN: 1354-2575

DOI: 10.1784/insi.2011.53.7.382

Sustainable methods are needed for the longevity of the large historic vehicles in museum environments and hence it is important to understand material characterisation and the associated material loss in order to devise sustainable preservation methods. This research work focuses on the deterioration of materials due to ageing mechanisms such as corrosion and utilises non-destructive methods of X-ray fluorescence for material characterisation and ultrasonic scanning to record material loss due to corrosion. XRF analysis provided vital information on material composition and therefore materials were classified according to their standards. Iron was the highest constituent, ranging from 91.27% to 99.40%. Other constituents such as silicon and manganese were found to be occurring consistently. Ultrasonic methods of pulse echo and phased array were deployed to obtain the material loss profile of the samples and remaining thicknesses. The results found severe material loss due to corrosion in the samples examined.

This data was imported from Web of Science (Lite):

Authors: Saeed, A., Khan, Z., Clark, M., Nel, M. and Smith, R.

Journal: INSIGHT

Volume: 53

Issue: 7

Pages: 382-386

ISSN: 1354-2575

DOI: 10.1784/insi.2011.53.7.382

The data on this page was last updated at 04:54 on April 18, 2019.