| Ti-6A1-4V titanium alloy is a kind of difficult-to-cut material which has been used in aerospace industry widely. Because of low thermal conductivity, high chemical activity, as well as big friction coefficient, some problems, such as high cutting temperature, large unit cutting force, serious tool wear and heavy work-hardening etc, occur during the milling operation, which will lead to low machining efficiency, low machining surface quality and high cost. When Ti-6A1-4V titanium alloy was used as aerospace workpiece, the removing quantity of the material is large, so high-speed milling is used usually. In this paper, Ti-6A1-4V titanium alloy was taken as research object, the relationship between the surface integrity and the cutting parameters during high-speed milling was studied systematically, then, the cutting parameters were optimized based on genetic algorithms. In the end, the parameters management system was developed.Firstly, the material features and machining capability of Ti-6A1-4V titanium alloy were analyzed, and the main research topic of the surface integrity was decided. Secondly, the effect of different cutting parameters on surface integrity was studied by designing the four factors and four level orthogonal experiments and single factor experiment. Then, the empirical equation of high-speed milling of Ti-6A1-4V titanium alloy was obtained and the value of surface roughness, milling force, surface residual stress and micro hardness were measured. With the experiment result, the regularity between cutting parameters and the above value was analyzed. Thirdly, according to the different aim in different machining phase, different object functions were decided, and the milling parameters were optimized using the genetic algorithms. In the end, based on the experiment result and the theory analysis, using SQL server2000 as database management system and VC++ 6.0 as the develop tools, the parameters management system was developed.
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