An optimization simulation method of Raymond mill classifier turbine based on Fluent

Aiming at the efficiency optimization problem of Raymond mill classifier turbine, this paper firstly modeled cylindrical turbine before improvement and conical turbine after improvement by Solidworksl9.0, and then carried out high- quality grid division of cylindrical turbine and conical turbine by Icem grid division software. Then, Fluent19.0 was used to conduct fluid simulation analysis of gas-solid two-phase flow for the turbines of these two structures. Then, CFD-DPM model was established to simulate the movement trajectory of powder particles in the mill. Finally, the velocity cloud diagrams of powder particles in the two turbines and the capture rate of powder particles at the exit of the two turbines were obtained through calculation. The results show that after the cylindrical classifier turbine is improved into a conical classifier turbine, the dust capture rate of the conical classifier turbine reaches 95.22%, which is much higher than that of the cylindrical turbine (48.49%), and the movement speed of dust particles is faster than that of the cylindrical turbine before the improvement, so the conical classifier turbine is better.