Experimental Study on the Cleaning Performance of Hot Air Flow Cleaning Device

Author:

Zhang Tao12,Li Yaoming1,You Guoliang12

Affiliation:

1. Key Laboratory of Modern Agricultural Equipment and Technology, Jiangsu University, Zhenjiang 212013, China

2. School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China

Abstract

When processing wet rice, the efficiency of the combine harvester diminishes due to the heightened surface water content of the paddy. To address this, a hot air flow cleaning apparatus was engineered, and the effects of its operational parameters on cleaning performance were investigated. Outlet temperature, fan speed, louver sieve temperature, louver sieve inclination, and eccentric wheel speed were selected as experimental factors, and a single-factor test was carried out, with cleaning loss rate and impurity rate as test indexes. The results of the single-factor test show that louver sieve inclination and eccentric wheel speed had no obvious influence on the cleaning loss rate or impurity rate. The cleaning loss rate decreased with the increase in outlet temperature and louver sieve temperature but increased with the increase in fan speed. The cleaning impurity rate increased with the increase in outlet temperature and louver sieve temperature but decreased with the increase in fan speed. Based on the results of the single-factor test, a central composite rotatable test was adopted to attain the optimal operation parameters of the hot air flow cleaning equipment. Parameters like outlet temperature, fan speed, and louver sieve temperature were established as test factors, with the loss and impurity rates chosen as the evaluation metrics. Optimization using response surface methodology yielded the following parameters: an outlet temperature of 40.7 °C, a fan speed of 1300 rpm, and a louver sieve temperature of 50 °C. Under these conditions, the loss rate was observed to be 0.75% and the impurity rate stood at 1.75%. These findings can guide the design of cleaning mechanisms and the determination of operational parameters.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Plant Science,Agronomy and Crop Science,Food Science

Reference23 articles.

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