Investigation and Prediction of Abrasive Wear Rate of Heat-Treated HCCIs with Different Cr/C Ratios Using Artificial Neu
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Kh. Abd El-Aziz Mechanical Engineering Department, Faculty of Engineering, Taif University, P.O. Box 21974, Taif, Saudi Arabia Materials Engineering Department, Faculty of Engineering, Zagazig University, P.O. Box 44519, Zagazig, Egypt D. Saber Materials Engineering Department, Faculty of Engineering, Zagazig University, P.O. Box 44519, Zagazig, Egypt Industrial Engineering Department, Faculty of Engineering, Taif University, Taif, Saudi Arabia A. A. Megahed Department of Mechanical Design and Production Engineering, Faculty of Engineering, Zagazig University, Zagazig, Egypt Copyright Ó 2020 American Foundry Society https://doi.org/10.1007/s40962-020-00547-7
Abstract In this study, artificial neural networks (ANNs) technique was used in the prediction of abrasive wear rate of high-Cr white cast irons (HCCIs) after subcritical heat treatment at different temperatures. High Cr WCI alloys with different compositions were tested at sliding speed of 1.04 m s-1 under the normal load of 30 N and different sliding distances of 500, 1000 and 1500 m. The abrasive wear rates obtained from wear tests were used in the formation of the data sets of the ANN. A multilayer perceptron model has been constructed with back-propagation algorithm using the input parameters of load, tempering temperature, and Cr/C ratio. The output parameter of the model is abrasive wear rate. Experimental results showed that abrasive wear rate of highCr WCI was significantly increased with the increasing of Cr/C ratio. High-Cr WCI alloys with higher volume fraction of carbides and structures with martensitic matrix at lower Cr/C ratio exhibited lower abrasive weight losses. The increasing of both sliding distance and load increases the abrasive weight losses. The HCCI-2 alloy exhibited the
lower abrasive weight losses as compared with the other alloys in both as-cast and heat-treated conditions. In addition, the abrasive weight losses for all investigated alloys with different Cr/C ratios after destabilization heat treatment are lower than alloys in the as-cast state. This is may be due to the presences of stronger martensitic matrix structure rather than austenitic or pearlitic matrix structures. Correlation coefficients between the experimental data and outputs from the ANN established the feasibility of ANNs to effectively model and predict the wear rate of high Cr WCI. From the sensitivity analysis, it is concluded that the tempering temperature had the most influence on the wear rate, while the applied load and Cr/C ratio had a small influence on the wear rate of high-Cr WCI.
Introduction
hammers. They have replaced some wear resistance materials due to their better outstanding performances in mechanical applications.1–3 The abrasive wear behavior of high-Cr white cast iron was greatly improved by optimizing its chemical composition and heat treatment processes, resulting in the increase of working life up to 2–3 times.1 The high chromium alloyed irons used for wear resistance as specified by ASTM A532 standard contain 23 to 28% Cr
High-Cr whi
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