The machining of titanium alloy can lead to serious tool wear, with this resulting in a lack of milling system stability and chatter. This paper looks at the relationship between milling stability and the use of micro-texturing on cutter surfaces, which aims to reduce tool wear. A stability lobe diagram is first drawn that is based on a dynamic model of the milling of titanium alloy by a ball-end milling cutter. This provides the cutting parameters for a stable domain. A micro-texture distribution model is then established for different cutting depths and the influence of micro-texture parameters on the milling performance of cutting tools according to various cutting parameters studied. The parameters are then optimized using an artificial bee colony algorithm, with the milling force, machined surface quality, and tool wear being adopted as the principal evaluation indicators. This provides a theoretical basis for the future selection of optimal cutting and micro-texture parameters.

Placing micro textures on a cutter surface can enhance the cutter-chip and cutter-workpiece contact, improving the cutter performance and machined surface quality. However, both the proper placement of micro textures and careful modeling of their density function are required for optimizing the cutting performance. In this study, a ball end milling cutter was utilized to demonstrate how these can be achieved. Initially, the theoretical cutter-chip contact length of the was calculated based on the chip curl theory and the theoretical cutter-chip contact area was obtained by combining the theories of cutter contact area and micro texture placement. Then, a mathematical model describing the micro texture distribution was established using a uniform density function, which allowed the determination of the specific distribution model for the micro textures. Finally, both simulations and experiments were used to validate the accuracy of the theoretical solution for the cutter-chip contact area and the uniformity of the micro texture density function. The results showed that the theoretical cutter-chip contact area and the uniform micro texture density mathematical model are consistent with the simulation and experimental results. The results reported in this paper provide a theoretical basis for the accurate preparation of micro textures.

In this paper, we investigated the effect of Cr on the surface properties of the micro-textured WC+Co alloy coating. An interactive test was designed that considered the parameters of an AlSiTiN coating and an AlSiTiN–AlCrN double coating. Using hardness and phase composition as evaluation criteria, the influence of Cr on the mechanical properties and microstructure of the coating surface was analyzed. A friction and wear test platform was formed to explore the mechanism of the Cr influence on the friction performance and wear state of the coating surface. The results show that Cr leads to the generation of the α-Cr phase particles in the surface structure of the specimen. They easily combine with C to form carbides, which improve the coating hardness; the atomic radius of Cr is smaller than that of Al, so it can dissolve in AlN. This induces lattice distortion, changing the phase composition in the structure; the coating with Cr exhibits better surface friction performance and wear morphology, simultaneously generating enhanced mechanical vibrations.