## 1 Introduction
Compared to x = 0.1, the increase in hardness led to a 229.8% rise in cutting force, a 46.8% increase in surface roughness, and more severe tool wear. Based on the experimental results, an aluminum content of 0.1 was found to be more suitable for micro-milling. [PERSON] et al. [6] used a finite element method based on the Johnson-Cook constitutive model to conduct a numerical simulation of a single-factor experiment in which a PVD-coated cemented carbide tool was used to investigate the effect of process parameters on the cutting force, cutting temperature, and residual stress of FeCoCrNiAl\({}_{0.6}\) micro-cutting. The process parameters included cutting speed, cutting depth, and feed rate. The simulation results showed that as cutting depth and feed rate were increased, the three-dimensional cutting force gradually rose, exhibiting a positive correlation with both cutting depth and feed rate. Additionally, an increase in cutting speed caused small fluctuations in cutting force, which remained relatively stable. Simultaneously, during the cutting process, the maximum temperatures on the tool surface and chip surface gradually increased with increasing cutting depth, cutting speed, and feed rate, showing a positive correlation with cutting temperature. At different cutting depths, the residual stress on the workpiece surface showed a changing trend of first decreasing and then increasing. Additionally, as feed rate was increased, the absolute value of the maximum residual stress on the workpiece surface also increased. [PERSON] et al. [7] investigated the effects of different Al contents, CoCrFeNi (Al\({}_{0}\)), CoCrFeNiAl\({}_{0.6}\) (Al\({}_{0.6}\)), and CoCrFeNiAl (Al\({}_{1}\)), on the micro-milling mechanism of CoCrFeNiAl\({}_{\kappa}\) HEAs. A 3D micro-milling model was established using ABAQUS finite element software, and a numerical simulation of a single-factor experiment was conducted using a 10X tungsten steel end milling cutter to explore the law of changes in the temperature field, milling force, residual stress, and surface roughness for different Al contents. The process parameters included milling speed, milling depth, and feed rate. The simulation results showed that Al\({}_{1}\) chips are mostly shaped like long strips, Al\({}_{0.6}\) chips are mostly granular, and Al\({}_{0}\) chips are mostly shaped like long flakes. At the same milling speed, the milling temperature of the workpieces with different Al contents followed the order: Al\({}_{1}\) > Al\({}_{0}\) > Al\({}_{0.6}\). As milling speed was increased, the milling force in the y and z directions remained almost the same for workpieces with different Al contents. The milling forces of Al\({}_{1}\) and Al\({}_{0}\) were changed very little in the x direction, while those for Al\({}_{0.6}\) tended to increase first and then decrease. With increasing milling speed and milling depth, the residual stress of the workpieces with different Al contents followed the order: Al\({}_{1}\) > Al\({}_{0.6}\) > Al\({}_{0}\). Among all workpieces, Al\({}_{0.6}\) exhibited the lowest surface roughness. [PERSON] et al. [8] conducted a study on tool wear and machining quality of AlCoCrFeNi\({}_{2.1}\) EHEA and proposed a plastic flow characterization method marked by the B2 phase. Cutting temperature and cutting force were measured to explain variations in tool wear and machining quality. Finally, surface roughness and surface morphology changes were analyzed by varying cutting speed and feed rate. The results showed that as cutting speed and feed rate were increased, both cutting temperature and cutting force rose. With the material removal rate unchanged, an increase in cutting speed and feed rate led to a greater flank wear width. When the cutting speed was below 80 m/min, abrasive wear was dominant, whereas at 110 m/min, adhesive wear and coating delamination occurred.