Coupling Artificial Neural Network with EMMS drag for simulation of dense fluidized beds

Chemical Engineering Science(2021)

引用 17|浏览10
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摘要
•A generic EMMS drag model for dense fluidization is developed by using ANN.•The contribution of different variables to the drag correction is quantified.•The model precision and simulation cost are balanced to determine ANN parameters.•Five fluidized beds with different conditions are predicted well with the new drag.
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关键词
EMMS,Drag coefficient,Artificial neural network,Fluidized bed,CFD simulation
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