Authors

Abstract

To address the issues of poor timeliness and delayed feedback in traditional wheat milling processes for manual particle size detection, a wheat milling online particle size detection device has been designed. This paper focuses on the design optimization of the key feeding component in the device, which affects the accuracy of particle size detection. The feeding component adopts shaftless screw blades. Through theoretical analysis, the main parameter ranges affecting the throughput capacity of the shaftless screw conveyor are determined. A Box-Behnken experiment is designed to obtain the optimal parameter combination for each factor: outer diameter of screw blades 23.8 mm, inner diameter of screw blades 6.4 mm, pitch 11.2 mm, and blade rotation speed 288.9 r/min. Simulation and test stand experiments are conducted using the above parameter combination. The simulation results show that the average throughput capacity of the feeding component is 2.85 kg/h, while the average throughput capacity of the test stand experiment is 2.84 kg/h, with a coefficient of variation of uniformity of 1.33%. These results indicate that the above parameter combination meets the design requirements for the feeding component in the device.

Abstract in Chinese

针对传统小麦制粉工艺人工粒度检测时效性差、反馈迟滞等问题，设计了小麦制粉在线粒度检测装置，本文针对装置中的影响装置检测准确率的关键供料部件进行设计优化。供料部件采用无轴螺旋叶片，通过理论分析确定影响无轴螺旋输送能力的主要参数取值范围，设计Box-Behnken试验得到各因素的最优参数组合为：螺旋叶片外径23.8mm，螺旋叶片内径6.4mm，螺距11.2mm，叶片转速288.9r/min。采用上述参数组合进行仿真与台架试验，仿真结果为供料部件平均输送能力为2.85kg/h，台架试验的平均输送能力为2.84kg/h，均匀性变异系数为1.33%，结果表明上述参数组合能够满足装置中供料部件的设计要求。