Using the experimental planning method for surveying the cleaning and categorizing the maize based on a classification of super large capacity more than 40 tons/h

Abstract

   This paper presents the research results on the cleaning process of classifying commercial maize on equipment for screening and sorting industrial scale, super-large productivity of 40 tons/h, using the problem of experimental planning to survey on the influence of technological and technical parameters on the ability to clean and classify sieves. Research results on the optimal model give the expected function results as follows: productivity of 44.27 tons/h; moisture content 28.5%; fan flow rate 4724.44m3 /h; 7 revolutions per minute; tilt angle 8°. At that time, product quality will be product cleanliness 97.05687%; 0.061155% breakage; omission 0.120001%.