In this study, surface roughness values, sound levels and instantaneous current values were measured with calibrated devices in accordance with the experimental parameters. In this study, turning tests were carried out on AISI S1 steel material workpieces at three different depth of cuts, three different feed rates and 3 different cutting speeds without coolant. A full factorial experimental design method was used. Three different cutting speeds (135, 155, 175 m/min), feed rates (0.045, 0.090, 0.135 mm/rev) and depth of cuts (0.04, 0.08, 0.12 mm) as control factors have been selected. The effect levels on the surface roughness of the control factors with analysis of variance (ANOVA) performed using the experimental results were determined. Finally, the confirmation tests were performed and showed that the analysis is successfully implemented. As a result of analysis, the most effective cutting parameter on all the output parameters was found to be the feed rate. Its influence on the sound level was found to be 60.26%. The feed rate was followed by the cutting speed (22.87%) and the depth of cut (6.58%), respectively. The motor current values were influenced by feed rate, cutting speed and depth of cut by 52.71%, 18.73% and 23.88%, respectively.

在这项研究中，根据实验参数，使用校准过的设备测量了表面粗糙度值，声级和瞬时电流值。在这项研究中，对AISI S1钢材工件进行了车削测试，测试时使用了三种不同的切削深度，三种不同的进给速度和三种不同的切削速度，而没有冷却剂。使用了全因子实验设计方法。选择了三种不同的切削速度（135、155、175 m / min），进给速度（0.045、0.090、0.135 mm / rev）和切削深度（0.04、0.08、0.12 mm）作为控制因素。使用实验结果进行方差分析（ANOVA），确定对控制因子表面粗糙度的影响程度。最后，进行了确认测试，并表明分析已成功实施。分析的结果是，在所有输出参数上最有效的切削参数是进给速度。发现其对声级的影响为60.26％。进给速度依次为切削速度（22.87％）和切削深度（6.58％）。电机电流值受进给率，切削速度和切削深度的影响分别为52.71％，18.73％和23.88％。