Abstract: At present, the discrete element method is widely used in grain research, especially in simulating the movement of grain, however, there is a lack of research on the mathematical model parameters of wheat grain crushing in the process of crushing simulation. In order to find a more suitable Ab-t10 model crushing parameter setting for wheat grain in the process of crushing simulation. In this study, wheat grain was selected as the research object, the impact drop hammer crushing test platform was built, and the wheat crushing model t₁₀ value was obtained by falling weight test, screening and weighing after crushing. Taking the test value as the objective function, the steepest climbing test and Box-Behnken response surface test were carried out to obtain the parameter combination which was close to the actual test value. Then, based on the regression equation and response surface analysis, the optimal combination of key parameters of Ab-T10, which was suitable for simulating the rapid crushing model of wheat grains, was obtained by using data analysis method. The selection parameter S of particle characteristics was 0.001 46 kg/J, the reference minimum specific energy E_ref of particles was 85.74 J/kg, and the maximum t₁₀ value M_t10 was 4.97%,which was the maximum cumulative mass percentage of the undersized material accounting for 10% of the initial particle size. According to the calibrated optimal parameter combination, several groups of cross-validation were carried out on the calibrated parameter combination, and the actual experimental verification index was obtained by taking different falling height as variables. The calibrated value was substituted into the discrete element software for numerical simulation to get the simulation test value, and then each height simulation test was compared with the actual test. The relative error of t₁₀ value between simulation test and actual test was calculated, and the maximum relative error rate was less than 2.4%, indicating that the calibrated parameters can effectively characterize the impact crushing process of wheat grain. This study not only improves the parameter setting of wheat grinding and crushing simulation analysis, but also has a certain reference significance and value for the study of wheat crushing mechanism.