Authors

Abstract

Aiming at the current problem of the high rate of impurity and loss in the cleaning device of corn seed harvesters in China, this paper took the cleaning device of 4YZL-6 self-propelled corn seed harvester as a sample and analyzed the movement law of the material on the sieve. Box-Behnken response surface experimental design theory was used for the orthogonal tests. Wind inlet angle, airflow velocity, and crank angular velocity were selected as influencing factors, and the impurity rate and loss rate as the evaluation index of operation quality. A regression mathematical model between each influencing factor and indicator was established, and the model was also integrated and optimized. The optimal parameter combination was obtained as follows: the wind inlet angle was 37.95o, the airflow velocity was 11.3 m/s, and the crank angular velocity was 4.1 r/s. The corresponding impurity rate was 0.87% and the loss rate was 0.34%. Verification tests were conducted on the optimization results, and the test results showed that under the optimal combination of parameters, the impurity rate was 0.89% and the loss rate was 0.35%. The relative errors of each evaluation index and its model prediction were 2.29% and 2.94%, respectively.

Abstract in Chinese

针对目前中国玉米籽粒收获机清选装置含杂率和损失率较高的问题，本文以4YZL-6自走式玉米籽粒收获机清选装置为例，分析了物料在筛子上的运动规律。采用Box-Benhnken响应面试验设计理论，以入风角度、风速和曲柄角速度为影响因素，以含杂率和损失率为作业质量评价指标，进行三因素三水平正交试验。建立了各影响因素与指标之间的回归数学模型，同时对模型进行了综合优化。获得最优参数组合为：入风角度37.95°、风速11.3m/s、曲柄角速度4.1r/s，对应的含杂率为0.87%、损失率为0.34%。对优化结果进行验证试验，试验结果表明在最优参数组合下，含杂率为0.89%、损失率为0.35%，各评价指标与其模型预测值的相对误差分别为2.29%和2.94%。