Engineering Sciences
Yazarlar: Şakir Taşdemir, Süleyman Neşeli, İsmail SARITAŞ, Süleyman YALDIZ
Konular:-
DOI:10.12739/nwsaes.v6i1.5000067018
Anahtar Kelimeler:Fuzzy Rule Base,Artificial Yntelligence,Tool Geometry,Fuzzy Logic,Surface Roughness
Özet: In this study, it has been aimed to predict adequate surface roughness values at turning operation that has important place in industry. The machining process in universal lathe is carried out on AISI 1040 steel in dry cutting condition using various approaching/entering angles, and rake angles, at depth of cut of 0,5 mm. Then surface roughness values were measured by using MAHR M1 perthometer. By using the data obtained from these experiments, Fuzzy Rule Based (FRB) approach was developed. The inputs of the developed FRB modelling were determined as tool nose radius (r), approach angle (κ), negative rake angle (γ) whereas output of system was surface roughness (Ra). This modelling was implemented by using MATLAB software. It has been seen that proposed model was applied successfully regarding to the comparison made between results of experiments and proposed FRB modelling.