Abstract:In order to improve grinding surface quality of 20CrMnTi carburizing alloy steel, highspeed cylindrical grinding experiments were carried out for 20CrMnTi steel, and the laws of influence by grinding process parameters on surface roughness were analyzed. Based on highspeed grinding experiments, the grinding prediction model of surface roughness for 20CrMnTi steel was solved and deduced with using of multielement linear regression method by least square. Aiming at the actual grinding problem the process parameters were optimized by using of optimum toolbox of MATLAB software toolbox and optimal design method, in the solving process the machining efficiency was set as the objective function and surface roughness prediction model was set as the constraint conditions. The optimized grinding parameters can improve the machining efficiency on basis of ensuring quality of the machined surface, which provides the important theoretic evidence and case reference for enterprises to reduce production costs.