| Brittle material because of its excellent chemical properties, high temperature resistance, corrosion resistance, low coefficient of thermal expansion and high mechanical strength is now widely used in aerospace, communications, biomedical and other high-tech industries. But because of its brittleness and hardness, low fracture toughness, brittle material is typically difficult to machine materials. Glass is typically hard and brittle material. Now the main methods to processing glass are precision and ultra-precision grinding, grinding, polishing, and the use of hydrofluoric acid corrosion in the glass surface, these methods are long processing cycle, Costs are high and pollution of the environment. Because of micro-milling process have high efficiency, great flexibility and diversity of materials processing, has been more widely used. In this paper, micro-milling tools are used to cut glass in plastic processing. The critical conditions of brittle ductile transition of glass are investigated, and the surface roughness and cutting force are also investigated.The mechanism of crack propagation of brittle materials and the cutting regime transition of use of ball end milling cutter are investigated. The cutting force model considering the tilt angle of the Ball End Milling is investigated. The theoretical cutting force and cutting force obtained by test were compared.Select the spindle speed, axial depth of cut, feed rate, tool tilt angle as variable, research the effect of the variable on the transition of the different cutting regime. From this the range of ductile machining by different milling parameters are obtained. By using the or-thogonal regression gyration design established experimental model of surface roughness. Based on response surface method various milling parameters were analysed.Studied the effects of milling parameters on cutting force and established the empirical model of cutting force, vertify and analyze the model. Studied the type of tool wear and wear mechanism, provide some guidance and learn for future processing. |