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Article Name Response Surface (RSM) Based Fuzzy Logic Model for the Comparison and Prediction of Surface Roughness in CNC Milling of AISI 1050 Steel Plate
Author Name Uğur EŞME1
Address 1Mersin Üniversitesi, Tarsus Teknoloji Fakültesi, Otomotiv Mühendisliği Bölümü, Tarsus/TÜRKİYE
Abstract The present study is aimed for comparison and prediction of surface roughness in CNC pocket milling process of AISI1050 steel plate based on the response surface methodology (RSM) and fuzzy logic model. Firstly, the milling parameters such as cutting speed, feed rate and depth of cut are designed using the rotatable central composite design (CCD). Secondly, the quadratic mathematical model for the surface roughness, as a function of milling parameters, is obtained using the RSM. And, fuzzy rules and membership functions were constructed according to the RSM experimental design. Finally, the power and adequacy of the RSM and fuzzy logic predicted surface roughness was compared. A high correlation coefficient of R2 = 0.999 has been obtained for the fuzzy predicted results. This reveals that the fuzzy prediction is the more effective method for CNC machining process. And it can successfully be used for other machining processes. Keywords: Fuzzy logic; response surface methodology; CNC.
Published in Electronic Journal of Machine Technologies
Issue 13
Volume 3
Pages 17-30
Year 2016
Type Paper
Language English
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