OBRABOTKAMETALLOV MATERIAL SCIENCE Том 23 № 3 2021 EQUIPMEN . INSTRUM TS Vol. 7 No. 2 2025 Ta b l e 3 Properties of graphene oxide Specifications Purity Thickness Lateral Dimension Number of Layer Surface Area Values > 99% 1–5 nm 5–10 µm Upon the average 4–8 210 m2/g Ta b l e 4 Machining parameters and levels Levels −2 −1 0 +1 +2 Cutting speed (Vc) (m/min) 30 60 90 120 150 Feed rate (f) (mm/rev) 0.05 0.1 0.15 0.2 0.25 Flow rate (Q) (ml/hr) 60 90 120 150 180 SiC vol. fraction (Vf) (%) 10 10 20 30 30 Fig. 5. Ultrasonication process for preparation of nano cutting fluid Response surface methodology (RSM) was used for the design of experiments. The objective was to optimize performance measures (responses) influenced by several independent variables commonly known as process parameters. Cutting speed, feed rate, flow rate, and SiC volume fraction were selected as process parameters, while thrust force, torque, surface roughness, burr height, and circularity were chosen as responses. Process parameters and their levels were chosen based on literature review and initial trials. Table 4 shows the process parameters and their levels used in the experiments. Results and Discussion A series of trials were carried out on the VMC machine using various speeds, feed rates, flow rates, and SiC volume fractions. The central composite design (CCD) of the response surface method was used for the main experiments, and the corresponding results are tabulated in Table 5. ANOVA was used, and the validity of the statistical results was measured with F-values and P-values. The reliability of the fitted model is recognized by R². The purpose of the experimental analysis was to determine the significant factors that have the greatest influence on the response variables and to develop a generalized empirical model to
RkJQdWJsaXNoZXIy MTk0ODM1