Abstract: 【Objective】 Optimize the operating parameters of the cleaning device and the cleaning device operating parameters in order to reduce the loss rate and impurity rate of cleaning equipment and improve economic productivity. 【Methods】 A mathematical model was established for the cleaning device for theoretical analysis and calculation to find the factors that affected the cleaning device and ADAMS was used to establish a motion simulation model to obtain the acceleration characteristic curve of the moving screen through simulation analysis. Then the main parameters of the cleaning fan volute were optimized and analyzed. At the same time, the corn kernel impurity rate and the grain loss rate were used as the test indicators, and the fan speed, vibration frequency and screen opening were used as test factors. Also, Box-Behnken central combined experimental design theory was employed to establish a regression model between experimental factors and experimental indicators.Three different motion states of the material on the cleaning device were analyzed, and the reasonable acceleration range of the cleaning and sieving was calculated. The main factors affecting the effect of grain cleaning were obtained through mathematical modeling analysis of the connecting rod of the vibrating screen. 【Results】 Through experimental optimization, it is concluded that when the fan speed was 1,050 r/min, the vibration frequency was 6 Hz, and when the screen opening was 17 mm, the impurity content of corn kernels was 0.94%, and the cleaning loss rate was 1.19%. 【Conclusion】 The optimized cleaning device parameters meet the industry requirements.