The development of a quantitative method for the assessment of abrasive and corrosive wear

Peng, Z., and Brown, J. (2005) The development of a quantitative method for the assessment of abrasive and corrosive wear. In: Proceedings of Fourth DSTO International Conference on Health and Usage Monitoring. pp. 1-11. From: AIAC-11 Eleventh Australian International Aerospace Congress, 13 - 17 March 2005, Melbourne, VIC, Australia.

[img] PDF (Published Version)
Restricted to Repository staff only

View at Publisher Website: http://www.icms.com.au/aiac-11/
 
5


Abstract

Wear and corrosion are the two common material degradation processes that cost industry a great deal every year. These two destructive processes may act separately or together to bring about the premature failure of equipment and machine which can be detrimental both in safety and monetary terms. It is important to industry that a quantitative method to be developed to assess and quantify the damage caused by abrasive wear alone and when abrasion and corrosion act in a synergistic manner to accelerate the rate of material loss. This development presented in the paper will provide maintenance personnel with a quantitative method to assess the two wear modes and to estimate the wear rate of the wear modes. In the future, the method can be utilized and further developed to predict remaining life time of machines.

Item ID: 7631
Item Type: Conference Item (Research - E1)
ISBN: 978-0-85825-732-0
Keywords: abrasion; abrasion-corrosion; corrosion; material degradation; numerical description; surface morphology
Date Deposited: 01 Jul 2010 01:06
FoR Codes: 09 ENGINEERING > 0913 Mechanical Engineering > 091399 Mechanical Engineering not elsewhere classified @ 100%
SEO Codes: 86 MANUFACTURING > 8614 Machinery and Equipment > 861404 Mining Machinery and Equipment @ 60%
86 MANUFACTURING > 8614 Machinery and Equipment > 861401 Agricultural Machinery and Equipment @ 30%
86 MANUFACTURING > 8614 Machinery and Equipment > 861403 Industrial Machinery and Equipment @ 10%
Downloads: Total: 5
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page