An Application of Computational Intelligence Technique for Predicting Surface Roughness in End Milling of Inconel-718
نویسندگان
چکیده
In this paper, an attempt has been made to design an computational intelligence technique based expert system using Adaptive Neuro-Fuzzy Inference System (ANFIS) for predicting surface roughness in end milling of Inconel 718. Two different types of membership functions are adopted for analysis in ANFIS training and compared their differences regarding the accuracy rate of the surface roughness prediction. The outputs of the ANFIS have been compared with the results of real experiments. The comparison indicates that the proposed system i.e. ANFIS can produce efficient knowledge base of the fuzzy inference system for predicting surface roughness in end milling of Inconel 718.
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