典型文献
Assessment of pressure drop in conical spouted beds of biomass by artificial neural networks and comparison with empirical correlations
文献摘要：
Pressure drop is an essential parameter in the operation of conical spouted beds(CSB)and depends on its geometric factors and materials used.Irregular materials,like biomass,are complex to treat and,unlike other gas-solid contact methods,CSB turn out to be a suitable technology for their treatment.Artificial neural networks were used in this study for the prediction of operating and peak pressure drops,and their performance has been compared with that of empirical correlations reported in the literature.Accordingly,a multi-layer perceptron network with backward propagation was used due to its ability to model non-linear multivariate systems.The fitting of the experimental data of both operating and peak pressure drop was significantly better than those reported in the literature,specifically in the case of the peak pressure drop,with R2 being 0.92.Therefore,artificial neural networks have been proven suitable for the prediction of pressure drop in CSB.
文献关键词：
中图分类号：
作者姓名：
Juan F.Saldarriaga;Yuby Cruz;Idoia Estiati;Mikel Tellabide;Martin Olazar
作者机构：
Department of Civil and Environmental Engineering,Universidad de los Andes,Carrera 1Este#19A-40,Bogota,Colombia;Department of Chemical Engineering,University of the Basque Country,Barrio Sarriena s/n,Leioa,Spain
文献出处：
引用格式：
[1]Juan F.Saldarriaga;Yuby Cruz;Idoia Estiati;Mikel Tellabide;Martin Olazar-.Assessment of pressure drop in conical spouted beds of biomass by artificial neural networks and comparison with empirical correlations)[J].颗粒学报（英文版）,2022(11):1-9
A类：
spouted
B类：
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AB值：
0.525321
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