OBRABOTKAMETALLOV Vol. 26 No. 4 2024 TECHNOLOGY a b c d Fig. 5. The eff ect of the composition of the coating on: cutting force (a); cutting temperature (b); surface roughness (c); tool fl ank wear (d) nanoparticles, the roughness value (Ra) decreases from 5.4 to 1.6 %, and then increases as the concentration increases. This may be due to the aggregation of nanoparticles. The surface roughness (Ra) when using HCF CuO/Al2O3 is reduced by 27.7 and 23.8 %, respectively, compared with dry cutting and cutting using base oil as a cutting fl uid. Due to the minimal shear resistance between the tool and the workpiece, caused by the affi nity of the tool to metal surfaces, the friction between the tool and the workpiece is minimized. Measuring the fl ank wear helps to predict the remaining service life of the cutting tool. By measuring the fl ank wear, operators can monitor the tool condition in real time. It is possible to increase the service life of the tool by reducing its wear. Fig. 5, b shows the study of tool wear under various lubrication conditions. Fig. 6, a, b shows the tool wear with 2 % hybrid nanofl uid and 0.8 % hybrid nanofl uid, respectively. By using corn oil with a higher CuO/Al2O3 content than the base oil, the tool fl ank wear is signifi cantly reduced. Reduced friction means less heating and less tool wear, which are both positive things. As a result, a very thin layer is formed between the workpiece and the tool. Alternatively, the reduction in tool fl ank wear may be due to the synergistic combination of the ball bearing properties of CuO and Al2O3 nanoparticles. Conclusions In this study, corn oil-based nanofl uids with diff erent concentrations of CuO + Al2O3 are prepared and tested for turning performance. The cutting force, surface roughness and tool are investigated. The results show that the use of hybrid nanofl uids under MQL can improve the machining performance of SS 304. In all
RkJQdWJsaXNoZXIy MTk0ODM1