A new approach for prediction of the wear loss of PTA surface coatings using artificial neural network and basic, kernel-based, and weighted extreme learning machine

A new approach for prediction of the wear loss of PTA surface coatings using artificial neural network and basic, kernel-based, and weighted extreme learning machine

Abstract Wear tests are essential in the design of parts intended to work in environments that subject a part to high wear. Wear tests involve high cost and lengthy experiments, and require special test equipment. The use of machine learning algorithms for wear loss quantity predictions is a potenti...

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Bibliographic Details
Main Authors: Mustafa Ulas, Osman Altay, Turan Gurgenc, Cihan Özel
Format: Article
Language:English
Published: SpringerOpen 2020-05-01
Series:Friction
Subjects:
wear loss prediction
surface coating
plasma transferred arc welding
artificial neural network
extreme learning machine
Online Access:https://doi.org/10.1007/s40544-017-0340-0

Internet

https://doi.org/10.1007/s40544-017-0340-0

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