摘要
In order to explore the cutting rules, optimize the cutting parameters and improve cutting efficiency of tita- nium alloy, multiple sets of test parameters were schemed out by using the uniform design method. Test cutting research of cutting forces and surface roughness with these parameters were conducted under the condition of 12 ℃ dry cutting and -50 ℃ cold blast machining, respectively. Through the regression analysis about the results of the test, a multiple linear regression model which was applicable for titanium alloy clean cutting on its surface roughhess and cutting force has been established. On this basis, a multi-objective optimization model aimed at suogace roughness, cutting force and cutting efficieney had been set up. And by means of the multi-objective data weighted method, successfully converted 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 those calculated.
In order to explore the cutting rules, optimize the cutting parameters and improve cutting efficiency of tita- nium alloy, multiple sets of test parameters were schemed out by using the uniform design method. Test cutting research of cutting forces and surface roughness with these parameters were conducted under the condition of 12 ℃ dry cutting and -50 ℃ cold blast machining, respectively. Through the regression analysis about the results of the test, a multiple linear regression model which was applicable for titanium alloy clean cutting on its surface roughhess and cutting force has been established. On this basis, a multi-objective optimization model aimed at suogace roughness, cutting force and cutting efficieney had been set up. And by means of the multi-objective data weighted method, successfully converted 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 those calculated.
