• 1 University of Banjaluka, Faculty of Mechanical Engineering, Bosnia and Herzegovina
  • 2 University of Ljubljana, Faculty of Mechanical Engineering, Slovenia


This paper presents an experimental study related to the optimization of cutting parameters in roughing turning of AISI 1045 steel under flooded conditions. The aim is to find a suitable combination of cutting parameters (cutting speed, depth of cut and feed rate) that minimize specific cutting energy and maximize material removal rate. The machining experiments were performed based on the Taguchi L27 full-factorial orthogonal array and response surface methodology (RSM) has been used to obtain the regression model for the specific cutting energy and material removal rate. Analysis of variance (ANOVA) was used to find out the significance of each cutting parameter. Finally, the developed models were interfaced with an artificial bee colony (ABC) to determine the optimal set of cutting parameters.



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