Numerical Simulation Of Flow KFF-400 Turbo Air Classifier And The Optimization Of Iron Powder Grading Process

In recent years,ltrafine powders are widely used in many industries.Ultrafine powders are widely used in many industries.In the field of materials,such as magnetic,stealth,high wear resistance,superplasticity,superhard impact resistance and other new composite materials are also required to use ultra-fine powder.In the field of chemical industry,the high efficiency propellant manufacture and the solid components such as paint,dye,plastic and so on can be made into new products with high performance after being refined.Bio medical field,the dissolution rate of drug absorption after ultrafining treatment can effectively improve medicinal ingredients and utilization rate,and under certain conditions can be processed into the powder of micron and submicron level made use of reagents.In the oil field,there are a lot of materials to be used in the cementing and completion engineering.One of the more advanced equipment of turbo air classifier by using mechanical method in the process of the body powder superfine powder manufacturing equipment,the main medium classification this study kff-400 turbo air classifier is gas,another medium is solid particles.The motion characteristics in kff-400 gas turbine air classifier in deciding the motion characteristics of the internal flow field in the vortex air classifier of powder particles,particle moving characteristics affect the movement of key internal flow field of a turbo air classifier the classification performance which can analyze the air vortex classifier,thus to improve the classification performance of turbo air the first classifier,starting from the internal flow field of a turbo air classifier,in-depth understanding of the motion characteristics of the internal flow field of gas phase and particle classifier phase.Through the software simulation and actual experimental data statistics can be comprehensive and intuitive understanding of the classification process of turbine air classifier,the main function of Fluent software is the simulation of internal flow field of turbine flow classifier,the flow field simulation results after the stability analysis of flow field parameters,how to change the parameters of turbo air classifier to improve iron ore powder classification accuracy and improve the classification performance of the classifier.The discrete phase model is chosen to simulate the flow field,and the particle trajectory is simulated by the model.Classifying flow field analysis results show that the wind velocity remained unchanged at two at the inlet of the classifier when the speed of internal rotor reaches a special value,the internal flow field of the classifier will maintain a stable state.When the internal classifier rotor cage speed value is lower than a critical speed rating,in the face of rotor cage blade will appear a whirlpool effect of grading,and the swirl direction and direction of rotor blade rotation is the same;if the cage in the rotation when the speed is higher than the critical speed,the blade this will have a vortex vortex called inertial anti vortex,antivortex direction and the rotor speed is the opposite direction,whether whirlpool or anti vortex of iron ore powder classification in turbo classifier will have a certain impact,intensity of vortex is because the speed of change,will change in the intensity of the vortex intensity on rotor speed and critical speed is more close to the vortex weaken.One of the factors on the flow characteristics of the inlet velocity is,the factors of the inlet velocity to set a specific value,value condition in this particular wind speed,improve the speed of the rotating cage can improve the internal air classifier of the tangential velocity,from the experimental analysis shows that the improved inlet velocity of this condition,the increase of the rotation speed of the rotor cage or have a certain impact on the reduction of classification classifier.But the tangential velocity of the airflow changes cannot lead to inter blade tangential velocity change,because the blade between the tangential velocity increases along the radial direction,the factors of critical speed,rotor speed of the critical speed between upper and lower fluctuations is caused by the internal classifier the radial velocity fluctuation.Research shows that the leaf number of rotor cage internal flow field of the classifier will constitute a certain impact,research shows that the relationship between flow and another classifier parameters of speed and inlet velocity on rotor of classifier is also affected,and when the rotor speed and inlet speed to the ratio of a rated.The rotor blade radial velocity can reach a uniform distribution state and radial velocity tends to be stable.In the optimization process of the iron ore powder body through the simulation of the flow field inside the classifier,will know how to make effective powder classification,improve the inlet velocity and the rotor speed under the classification precision iron ore powder has been significantly improved,can improve the speed to improve the efficiency and accuracy in the process of iron ore powder classification,considering the motor rated power classifier and is able to provide the import of feed speed,are compared with these parameters,the optimal parameters of iron ore powder grading process so that the kff-400 classifier.