Artificial neural network modeling of sliding wear
2020 ◽
pp. 135065012092558
Keyword(s):
A widely used type of artificial neural networks, called multilayer perceptron, is applied for data-driven modeling of the wear coefficient in sliding wear under constant testing conditions. The integral and differential forms of wear equation are utilized for designing an artificial neural network-based model for the wear rate. The developed artificial neural network modeling framework can be utilized in studies of wearing-in period and the so-called true wear coefficient. Examples of the use of the developed approach are given based on the experimental data published recently.
2006 ◽
Vol 3
(7)
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pp. 436-442
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2015 ◽
Vol 4
(2)
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pp. 127-133
2015 ◽
Vol 47
(1)
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pp. 702-713
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2003 ◽
Vol 42
(8-9)
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pp. 653-662
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