In order to explore the cutting rules and optimize the cutting parameters of titanium alloy, multiple sets of test parameters were schemed out by using the uniform design method. Test cutting researches with these parameters were conducted under the condition of 12°C dry cutting and -50°C cold blast machining respectively. Through the regression analysis about the results of the test, a multiple linear regression model which is applicable for titanium alloy cutting on its surface roughness and cutting force has been established. The variance analysis shows that it is of remarkable linear relationship. On this basis, a multi-objective optimization model of titanium alloy has been set up. And by means of multi-objective data weighted method, successfully convert the multi-objective optimization model into a single-objective one. Verification tests were done under these cutting parameters, and the results are in good agreement with the calculated.