Prediction Of Slurry Erosive Wear Behaviour Of
Al6061 Alloy Using A Fuzzy Logic Approach
Author(s)
C. S. Ramesh, V. K. S. Jain, R. Keshavamurthy, Z. A. Khan
& M. Hadfield
Abstract
Slurry erosive wear as a failure mechanism has significance in terms of dictating
the performance of marine components. Experimental determination of this wear
phenomenon for various materials in current naval applications is tedious,
expensive and, in the majority of cases, not reliable. The standard experimental
procedures in assessing the slurry erosive wear do not simulate the actual
operating conditions. Researchers have been focusing on predictions of wear
behaviour based on several hypotheses and mathematical models as a response to
overcome the above mentioned obstacles. The fuzzy logic approach is a highly
reliable analytical technique and therefore widely accepted and used.
This paper discusses a fuzzy logic model to predict the slurry erosive wear
behavior of cast aluminum 6061 (Al 6061) alloy pre and post heat treatment. The
adopted fuzzy model employs hybrid-learning techniques involving a
combination of both back-propagation and least-square method. Sand
concentration, test duration, slurry rotation speed and impinging particle sizes
served as inputs while slurry erosive wear losses were the outputs. The predicted
values have been compared with published experimental data under various
operating conditions. The predicted values of slurry erosive wear loss of cast
aluminum 6061 alloy pre and post heat treatment are in close agreement with the
experimental results.
Keyword: fuzzy logic, Al6061, slurry erosive wear.
Keywords
Keyword: fuzzy logic, Al6061, slurry erosive wear.
Related Book
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