The milling force and temperature were relatively large in the milling process of super alloy and had a great influence on the surface quality and tool life. The milling process of GH536 was modeled and simulated by using finite element analysis method. The milling force prediction model of GH536 was established and the regression analysis of the model was carried out. The milling experiment scheme was designed and the simulation results were verified and analyzed. The simulation results show that milling depth， milling width and feed per tooth are positively correlated with F_x， F_y and F_z， while milling speed is positively correlated with F_z and negatively correlated with F_x and F_y. The milling depth has the greatest impact on the milling force， while the milling speed has the least impact； the milling force experimental results show that the established milling force prediction model can predict the milling force more accurately than the theoretical model in GH536 cutting process.