Computer-aided modeling for predicting layer thickness of a duplex treated ceramic coating on tool steels

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• 作者：Gholamreza Khalaj ; Hesam Pouraliakbar
• 关键词：Duplex surface treatment ; Ceramic coating ; Layer thickness ; Gene expression programming ; Modeling
• 刊名：Ceramics International
• 出版年：May, 2014
• 年：2014
• 卷：40
• 期：4
• 页码：5515-5522
• 全文大小：983 K

文摘

Five different tool steels (DIN 1.2080, 1.2210, 1.2344, 1.2510 and 1.3343) have been targeted for a duplex surface treatment consisted of nitriding followed by vanadium thermo-reactive diffusion (TRD). TRD process was performed in molten salt bath at 575, 650 and 725 掳C for 1 to 15 h. A duplex ceramic coating of vanadium carbonitride (VCN) with a thickness up to 10.2 渭m was formed on tool steel substrates. Characterization of the ceramic coating by means of scanning electron microscopy (SEM) and X-ray diffraction analysis (XRD) indicated that the diffused compact and dense layers mainly consisted of V(C,N) and V₂(C,N) phases. Layer thickness of duplex coating has been modeled by gene expression programming (GEP). Recently, application of GEP as a computer-aided technique has got appreciable attraction especially for modeling and to formulate engineering demands. For GEP approaches, chemical composition of steel substrates along with different bath and processing parameters totally composed of 17 different parameters were considered as inputs to establish mathematical correlations. Finally, the training and testing results in models have shown strong potential for predicting the layer thickness of duplex treated ceramic coating on tool steels.