基于fluent的旋流器分级控制系统设计
2022,30(4):128-133
摘要：目前，应用重介旋流器分选过程智能控制策略、极群组破碎分离水力旋流器参数化方法局限于单参数优化，难以控制微小尺寸变形，基于该问题，设计了基于fluent的旋流器分级控制系统。使用开关型交流稳压电源，为系统提供可靠电能。利用Q941F电动调节球阀，执行对应区间动作。使用BST6800系列压力变送器，实现底流流量控制。采用上装式气动阀门开关结构，增强阀门可靠性。通过人机交互模块，显示执行任务。根据基于fluent的数值模拟原理，计算进入旋流器的颗粒直径。结合Gambit模型和网格划分方法，仿真模拟分析切向速度、横向速度和径向速度三个方向分量分布情况。使用两套控制输出量调节旋流器进料速度，获取最佳分级尺寸，保证旋流器分级过程的稳定性。由实验结果可知，该系统最高分级效率为98%，最低为90%，具有高效分级效果。
关键词：fluent；旋流器；分级控制；Gambit模型；颗粒直径
Design of cyclone classification control system based on Fluent
Abstract：At present, the intelligent control strategy for the separation process of the heavy-medium cyclone and the parameterization method of the pole group crushing and separation hydrocyclone are limited to single parameter optimization, and it is difficult to control the small size deformation. Based on this problem, a fluent-based cyclone is designed. Controller hierarchical control system. Use switch-type AC stabilized power supply to provide reliable power for the system. Use Q941F electric control ball valve to perform corresponding interval actions. Use BST6800 series pressure transmitter to realize underflow flow control. The top-mounted pneumatic valve switch structure is adopted to enhance the reliability of the valve. Through the man-machine interaction module, display the execution tasks. According to the principle of fluent-based numerical simulation, the diameter of the particles entering the cyclone is calculated. Combining the Gambit model and the meshing method, simulate and analyze the distribution of tangential velocity, lateral velocity and radial velocity in three directions. Two sets of control output are used to adjust the feed speed of the cyclone to obtain the best classification size and ensure the stability of the cyclone classification process. It can be seen from the experimental results that the highest classification efficiency of the system is 98%, and the lowest is 90%, which has a highly efficient classification effect.
Key words：Fluent; Cyclone; Hierarchical control; Gambit model; Grain diameter
收稿日期：2022-01-10
基金项目：
