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.
Bu çaly?mada, endüstride önemli yer tutan tornalama i?lemlerindeki uygun pürüzlülük de?erlerinin tahmin edilmesi amaçlanmy?tyr. Bunun için üniversal torna tezgâhynda de?i?ik yakla?ma açylary ve tala? açylary ile kuru kesme ?artlarynda, AISI 1040 çeli?i üzerinden 0,5 mm derinli?inde tala? kaldyrylarak numuneler i?lenmi?tir. Bu i?lemi takiben yüzey pürüzlülük de?erleri MAHR M1 perthometer kullanylarak ölçülmü?tür. Yapylan deneylerde elde edilen veriler yardymyyla bir Bulanyk Kural Tabanly (BKT) yakla?ym geli?tirilmi?tir. BKT modellemede giri? parametreleri; uç radyüsü (r), yakla?ma açysy (κ), negatif tala? açysy (γ) ve çyky? parametresi, yüzey pürüzlülü?ü (Ra) olarak belirlenmi?tir. Bu modelleme MATLAB programy kullanylarak tasarlanmy?tyr. Deneysel sonuçlarla BKT sonuçlary istatistiksel olarak kar?yla?tyryldy?ynda, tasarlanan modelin ba?aryly bir ?ekilde uygulandy?y görülmü?tür.
Primary Language | Turkish |
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Journal Section | Computer Engineering |
Authors | |
Publication Date | February 1, 2011 |
Published in Issue | Year 2011 Volume: 6 Issue: 1 |