Abstract
In this study, experimental wear losses under different loads and sliding distances of AISI 1020 steel surfaces coated with (wt.%) 50FeCrC-20FeW-30FeB and 70FeCrC-30FeB powder mixtures by plasma transfer arc welding were determined. The dataset comprised 99 different wear amount measurements obtained experimentally in the laboratory. The linear regression (LR), support vector machine (SVM), and Gaussian process regression (GPR) algorithms are used for predicting wear quantities. A success rate of 0.93 was obtained from the LR algorithm and 0.96 from the SVM and GPR algorithms.
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All the Matlab scripts of related algorithms in the article are coded ourselves. The used Matlab platform is licensed by Firat University.
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Osman ALTAY. He received his B.S. degree in Department of Electronic Computer Education of Selcuk University in 2011. Currently, he is continuing his Ph.D. in Software Engineering at Firat University. He is a research assistant at the Department of Software Engineering, Manisa Celal Bayar University, Turkey. His research interests include data mining, bioinformatics, machine learning, and data science.
Turan GURGENC. He received his Ph.D. degree in Mechanical Engineering Department of Firat University in 2017. He is a research assistant in Automotive Engineering Department, Firat University, Turkey. His research interests include surface coating, wear analysis, sintering, manufacturing and computational intelligence.
Mustafa ULAS. He is an assistant professor in Department of the Software Engineering. He has received BS degree in 2003 then he received the Ph.D. degree in Electric and Electronics Engineering Department of Firat University. Between the years 2004–2012, he worked as lecturer in the Department of Informatics, at the same time he was a software developer and was the manager of R&D Department. He was vice president of Computer Center and Department of Informatics in 2008–2012. He worked for the University of Michigan in the USA as visitor researcher in 2013. His research interests include data mining, machine learning algorithms, big data and augmented reality.
Cihan ÖZEL. He received his Ph.D degree in Mechanical Engineering Department of Firat University in 2000. He is currently an associate professor in Mechanical Engineering Department, Firat University, Turkey. His research interests cover CNC machining, surface coating, wear and manufacturing.
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Altay, O., Gurgenc, T., Ulas, M. et al. Prediction of wear loss quantities of ferro-alloy coating using different machine learning algorithms. Friction 8, 107–114 (2020). https://doi.org/10.1007/s40544-018-0249-z
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DOI: https://doi.org/10.1007/s40544-018-0249-z