Numeriacl Simulation And Optimization Of Sideward Inlet Bag Filter

In the process of large-scale and intelligent development of bag filter technology,product innovation and industry competitiveness are urgent.The product technology of the internationally renowned dust collector company has been continuously innovating and developing.The most prominent change is the air intake mode,which is changed from the lower air inlet mode of the relatively mature ash bucket to the siding part of the bag.In the bag box,a variety of wind screen structures are derived,and the layout form can be divided into T-shaped,I-shaped,L-shaped,C-shaped,etc.and the geometry of the divided air opening holes is also various.It is rare to see related research in China.Based on the innovative design analysis platform independently researched and developed by the research group,this paper reconstructs a variety of typical side-inflow product models,and deeply studies the influence of its characteristic structure on the flow field performance through numerical simulation,and analyzes its internal laws.The collaborative optimization technology was adopted to complete the comprehensive collaborative optimization of product solutions.This topic has completed the following work.(1)Numerical simulations of various typical side inlet bag filters have been completed.Taking the uniformity of the flow field as the research target,the influence and regularity of the characteristic parameters in the layout and opening scheme of the wind screen are obtained.The key parameters of the influence are the opening size and the flow channel size.It lays the foundation for the design and optimization of the side inlet bag filter.(2)The approximate model optimization method is used to realize multi-parameter collaborative optimization in complex engineering problems.Based on the Isight optimization platform,the sample points are obtained by optimizing the Latin hypercube test design method,replacing the huge calculation data with a small amount of reasonable data,and constructing the approximate model to solve the large amount of calculation and cycle encountered in the optimization process of the bag filter.The main parameters obtained by numerical simulation analysis are used as the optimization variables,and the uniformity of the wind is used to optimize the model.Finally,the optimization algorithm is implemented by the combination of annealing simulation algorithm(ASA)and sequential quadratic programming(NLPQL).In the example,the optimized splitter uniformity is improved by 13.56%,and the optimization effect is obvious.