2007
DOI: 10.1016/j.jhazmat.2006.09.005
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Predicting pressure drop in venturi scrubbers with artificial neural networks

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Cited by 23 publications
(9 citation statements)
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“…In our previous work [8], these parameters were the inputs of networks. In this study, two other inputs, throat hydraulic diameter (D Hth ) and throat length (L th ), were added to increase the efficiency of the networks.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…In our previous work [8], these parameters were the inputs of networks. In this study, two other inputs, throat hydraulic diameter (D Hth ) and throat length (L th ), were added to increase the efficiency of the networks.…”
Section: Methodsmentioning
confidence: 99%
“…In our previous work [8], artificial neural networks were applied to predict pressure drop in venturi scrubbers. In the present work different types of venturi scrubbers have been used for training data set and the inputs of the ANNs are increased.…”
Section: Introductionmentioning
confidence: 99%
“…Nasseh et al (2007Nasseh et al ( , 2009) designed a new model based on artificial neural networks to predict the pressure drop in Venturi scrubbers. They used several sets of experimental data from Venturi scrubbers to design an ANN.…”
Section: Brazilian Journal Of Chemical Engineeringmentioning
confidence: 99%
“…Their experiments in a 38 mm pipe, with a 19 mm venturi throat, showed that up to 35% of the liquid can be atomized, at the cost of a pressure drop of 0.2-0.3 bar. Nasseh et al [26] have predicted pressure drop in venturi scrubbers with artificial neural networks (ANNs). Their results were in good agreement with experimental data.…”
Section: Literature Review On Venturi Scrubbersmentioning
confidence: 99%