## 1 Introduction
GGG50 cast material was machined dry using four different cutting speeds (50, 75, 100, and 125 m/min), 4 different feed rates (0.1, 0.2, 0.3, and 0.4 m/min), and four different depths of cut (1, 1.5, 2, and 2.5 mm). The effects of these different parameters on surface roughness, vibration, and sound intensity were examined. It was determined that surface roughness, vibration, and sound intensity values increased with the feed value ([PERSON] et al., 2017 [9]). In a study, the parameters to minimize roughness in a brass workpiece are tool, depth of cut, cutting speed, and feed. The optimum parameters were investigated using response surface methodology (RSM). It was found that the process parameters can be obtained at a moderate level during the drilling process. ([PERSON] & [PERSON], 2017 [10]). In one study, the processed material is Ms58 brass; the tool is cubic boron nitride (CBN), and the process is high-speed turning. In the study, the spindle speed, depth of cut, feed rate, and pressure are cold, dry-cutting Taguchi parameters. For optimum roughness in brass, the cutting conditions were determined as spindle speed 790 rpm, feed rate 0.0034 mm/min, depth of cut 1.5 mm, and pressure 50 Psi ([PERSON], et al., 2018 [11]). In one study, dry cutting was performed using martensitic stainless steel. Factors such as fatigue, corrosion resistance, and wear performance were negatively affected by machining. For this reason, to minimize it, surface roughness was examined with different cutting speeds, feed values, and 0.6 mm constant cutting depth parameters, and the findings were compared ([PERSON], [PERSON], 2019 [12]). The experiments were conducted using a [specific type of equipment] under controlled conditions. Cutting tool wear and surface roughness were investigated by milling GGG70 nodular cast iron material. Experiments were carried out using three different feed values (0.1, 0.15, and 0.2 mm/tooth) and 4 different cutting speeds (150, 200, 250, and 300 m/min) at a constant cutting depth (0.5 mm), and appropriate milling parameters were determined. As a result, the surface roughness increased with the increase in the feed value. The amount of wear on the cutting tool increased with the cutting speed ([PERSON] et al., 2019 [13]). A study investigated the burnishing processes of holes drilled in Ms58 materials. It was determined that the surface roughness of the Ms58 material decreased by 89.6% after the process. A 20% increase in hardness was achieved with plastic deformation in the crushed region of the Ms58 material ([PERSON], 2020 [14]). In addition, a comprehensive turning study was conducted on AISI 1050 steel, examining cutting parameters such as cutting speed, feed rate, and depth of cut at three different levels. Mathematical models and equations were developed to show the relationships between these parameters and surface roughness. The study also investigated the effect of cutting parameters on chip formation and geometry, providing a comprehensive understanding of the turning process ([PERSON], [PERSON], 2020 [15]). An Ms58 brass alloy was also studied using a C-axis lathe and end mill to produce hexagonal parts. The researchers demonstrated the precision of their work by developing distinct regression equations for surface roughness, cutting time, and dimensional deviation. By determining the optimum combination of processing parameters, they verified the accuracy and reliability of their results ([PERSON], 2021 [16]). This study investigated the drilling process of hot-forged, lead-free brass alloys with a form-cutting tool by artificial neural network modeling and genetic algorithm-based optimization methods. By obtaining optimum processing conditions, it was determined that the efficiency of the process could be increased by reducing production costs ([PERSON] et al., 2021 [17]). The study included constructing a water flow system to capture cavitation flow experimentally. Wear tests were conducted on red copper, brass, pure aluminum, and an aluminum alloy.