Affiliations: Department of Engineering, Saveh Branch, Islamic Azad University, Saveh, Iran
Note: [] Corresponding author. Gholamreza Khalaj, Department of Engineering, Saveh Branch, Islamic Azad University, Saveh, Iran. E-mail: [email protected]
Abstract: The paper presents some results of the research connected with the development of new approach based on the fuzzy logic (FL) of predicting the layer thickness of the chromium carbonitride (Cr(C,N)) in 1.2210 steel after thermoreactive deposition and diffusion (TRD) coating. The independent variables in the model are nitriding time, salt bath compositions ratio, salt bath aging time, ferro-chromium particle size, ferro-chromium weight percent, salt bath temperature and coating time. The model output variable was the layer thickness of coating. For purpose of constructing these models, 105 different experimental data were gathered from the experiment. The data used in the fuzzy logic model is arranged in a format of eigth parameters that cover the input and output parameter. In this model, the training and testing results in the fuzzy logic systems have shown strong potential for prediction of effects of pre-nitriding, salt bath condition and coating variables on layer thickness of Cr(C,N) coating on 1.2210 steel.
Keywords: Fuzzy logic, duplex coating, hard coating, low temperature coating, salt bath
