Authors

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.

Abstract in Chinese

为降低玉米籽粒在气力输送过程中的破碎率、减小能耗，本文将输送过程中输送风速、料气比和玉米籽粒含水率作为影响因素分别进行单因素仿真实验，然后，设计并搭建粮食颗粒气力输送试验平台，以破碎率和管道压降为输送性能指标进行正交试验，分别建立起各试验指标与各因素之间的回归方程模型，最后，利用响应面法进行多目标优化，得到最优参数组合为输送风速为25.42m/s，料气比为10，含水率为13.912%。此时对应的气力输送指标分别为破碎率为1.112%，压降为8.725kPa，此时的输送能力为0.328kg/s。为粮食颗粒气力输送过程防破碎和降低能耗提供理论和试验依据。