In response to the erosion and wear phenomenon of the suction elbow at the inlet of the flour conveying pipeline during the powder extraction process of the roller mill,a multi-objective optimization meth-od was used to optimize the influencing factors of wear,reducing the maximum erosion rate of the suction el-bow while ensuring a good flow rate of fluid inside the pipeline.Using computational fluid dynamics methods and a discrete phase model,the flow field distribution of gas-solid two-phase flow inside the elbow is studied.The influence of inlet velocity,flour particle size,pipeline inner diameter,bending diameter ratio,and pow-der extraction mass flow rate on the maximum erosion rate and maximum flow velocity of the elbow when the fluid flows through the elbow are analyzed,and the formation reasons are determined.The optimal value range is obtained.Using response interviews to obtain fitting equations between each influencing factor and the maxi-mum erosion rate and maximum flow velocity,with the goal of obtaining the minimum value of the maximum erosion rate and the maximum value of the maximum flow velocity as constraint objectives,jointly solving the two fitting equations to obtain the optimal combination of influencing factors.Through computational fluid dy-namics simulation analysis,it was found that the optimized maximum erosion rate has decreased by 47%and the maximum flow rate has decreased by 9%.
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