Machining Mechanism of Minimum Quantity Lubrication Grinding

To facilitate the analysis of experimental theory, this chapter studied the machining mechanism related to the grinding of NMQL and the three mechanisms of sliding, ploughing, and cutting of the abrasive grinding process. A mathematical model of the micro-grinding force was established, and the micro-grinding force can be used to express the force of the grinding zone. The grinding force component was divided into the force of cutting and sliding, removing the constant cutting force during the grinding process, retaining the varying sliding friction force, and determining the sliding friction coefficient to characterize the lubrication performance. It reflected the influence of different lubrication conditions on the friction part. The methods for measuring the temperature during grinding were introduced, including direct contact temperature measurement and non-contact temperature measurement. At present, thermocouple temperature measurement is a commonly used and more accurate temperature measurement method, and the characteristics of each temperature measurement method were analyzed.

FEM-Based Simulation for Workpiece Deformation in Thin-Wall Milling

This paper focuses on the deformation of a thin wall during the milling process. Cutting experiments were performed to investigate the influence of the workpiece thickness on its deformation and the cutting force. An FEM-based model was developed to simulate the deformation of a thin-wall workpiece during the milling process. With a tool’s rotation, the cutting force is distributed along the helical cutting edge, and the workpiece deformation can be calculated for a given time interval. The simulated results were compared with those of a simpler model where a constant cutting force is uniformly distributed along an oblique line representing the material removal by a cylindrical tool. Finally, the application of these results to the design of ribs for thin-wall parts during machining was considered.

Study on Intelligent Control of Milling Process Based on MATLAB

In order to achieve the intelligent control of milling process, an experimental platform is constructed in XK5140 CNC machine tool. The control system is based on the Simulink model of MATLAB and the controller is established by programming S-function. The experiments are performed on steel workpiece with variable depth of cut by controlling milling force. The experimental results show that the intelligent control of the milling process is feasible using this experimental platform. The proposed controller can adaptively adjust the feed rate till achieving a constant cutting force approaching the set point in varied cutting conditions. CNC milling machine can make full use of its manufacturing capacity when processing the parts, thus improving the cutting efficiency and protecting the tool.