Article Title

AISI 1040 çeliğinin tornalama-frezeleme ile işlenmesinde yüzey pürüzlülüğünün genetik algoritma yöntemi ile optimizasyonu


In this study, the effects of the cutting parameters on surface roughness in machining of AISI 1040 material through orthogonal and tangential turning-milling methods were investigated using the Taguchi experimental design method. The parameters of process, cutting tool speed, workpiece speed, cutting depth, and axial feed were selected as processing parameters in the experimental studies. The experimental results were converted to S/N ratios using Minitab15 packaged software in order to determine the optimum cutting parameters. They then were statistically analyzed using ANOVA analysis of variance. Using the response surface method, a mathematical model of the surface roughness was created based on the cutting parameters. Additionally, the most suitable cutting parameter values were identified for minimum surface roughness by using the genetic algorithm method. The results revealed that the tangential turning-milling process reduced surface roughness in experimental studies, statistical analysis, and optimization processes. The minimum surface roughness values obtained from the genetic algorithm method, the S/N ratios, and mathematical model were very close to each other.