Abstract
In order to reduce the crushing rate and energy consumption of corn kernels in the pneumatic conveying process, firstly, the conveying wind speed, material-air ratio and corn kernel moisture content as the influencing factors in the conveying process were carried out as one-factor simulation experiments, respectively.Next, we created a test platform for the pneumatic conveying of grain particles, tested it orthogonal using the crushing rate and pipeline pressure drop as conveying performance indices. We then created a regression equation model that connected each test index to each factor in turn. Lastly, we used the response surface method for multi-objective optimization to determine the ideal parameter combinations for the conveying wind speed, which was 25.42 m/s, the material to gas ratio, which was 10, and the moisture content, which was 13.912%.At this time, the corresponding pneumatic conveying indexes are 1.112% crushing rate, 8.725kPa pressure drop, and 0.328kg/s conveying capacity, which provide theoretical and experimental bases for the prevention of crushing and the reduction of energy consumption during the pneumatic conveying of grain particles.
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