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This paper applies a generalized regression neural network (GRNN) for predicting the friction coefficient of deposited Cr 1−x Al x C films on high-speed steel substrates via direct current magnetron sputtering systems. The Cr 1−x Al x C films exhibited some excellent characteristics, such as low friction coefficient, high hardness, and large contact angle. In this study,...
This paper applies a generalized regression neural network (GRNN) for predicting the friction coefficient of deposited Cr1-xAlxC films on high-speed steel substrates via direct current (DC) magnetron sputtering systems. The Cr1-xAlxC films exhibited some excellent characteristics, such as low friction coefficient, high hardness, and large contact angle. In this study, a GRNN model is applied for predicting...
Cr 1−x Al x C films were deposited on high-speed steel by RF reactive magnetron sputtering. In this study, we aimed to identify the effect of the Al content on the properties of Cr 1−x Al x C films. We found that Cr 1−x Al x C films exhibited a fine columnar grain microstructure with some special characteristics, such as high hardness of Hv 1426, a low...
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