Response Surface Modeling And Particle Swarm Optimiazation Of PV Type Cyclone Separator

Particle swarm optimization(PSO)has the characteristics of simple structure,easy realization and fast optimization.In solving the problems of multi-objective optimization and dynamic optimization,it has the characteristics of fast solution speed,strong solution set and high stability.It is widely used in the optimization of engineering practice.Cyclone separator is a gas solid separation device with simple structure,low manufacturing and installation cost and convenient operation and maintenance.Because of its superior performance,PV cyclone has been widely applied to the recovery of catalyst in the catalytic cracking of petroleum industry.Because the relationship between the performance parameters of the cyclone separator and the influence factors is complex,the researchers have done a lot of theoretical and experimental research in order to describe the relationship more accurately.The main contents of this paper are as follows:1.In order to accurately describe the relationship between the pressure drop of the PV cyclone separator and the influence factors such as the total efficiency and the geometric structure,so as to effectively predict the structure of the cyclone separator with high efficiency and low resistance,based on the experimental data published in the published literature,the history data fitting function(Historical Data)in the Design-Expert software is used for P respectively.The pressure drop and total efficiency of the V type cyclone separator are modeled by the response surface(response surface methodology,RSM).The polynomial regression equation of the pressure drop and total efficiency with various factors is obtained.The correlation coefficient R2,the P value and the F value of the model indicate the dependability of the equation.The response surface is analyzed,and the influence of the interaction between the two factors on the performance is more intuitionistic through the three-dimensional surface.2.Based on the response surface equation of total efficiency and pressure drop,the total efficiency and pressure drop are optimized with two methods based on single objective particle swarm optimization and multi-objective particle swarm optimization,so that the ratio of entrance section to K_A,the diameter ratio of the exhaust pipe and the inlet gas velocity V_i are reasonably selected.The total efficiency is higher and the pressure drop is lower.The constraint optimization is based on the total efficiency and the range of parameters as the constraints,the minimum of the pressure drop is optimized by the particle swarm optimization algorithm.Under the specific dust characteristics,the curve of the pressure drop with the total efficiency is obtained,as well as the structure parameters and the operating gas velocity corresponding to any operating point on the curve.The optimization results show that the model set up with the real test is higher,and the optimization effect is better.The optimized point can be used as a reference for the design.It provides a new idea for the experimental modeling of the performance parameters of the PV cyclone separator and the optimization of the structure size.