Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/30787
Title: Modelling of packed column using artificial neural networks
Authors: Pandharipande, S L
Mandavgane, S A
Keywords: Artificial neural networks;ANN;Packed column;Ergun's equation
Issue Date: Nov-2004
Publisher: NISCAIR-CSIR, India
IPC Code: B 01 D 3/26
Abstract: Packed column is an established gas liquid contacting device with many industrial applications. Estimation of liquid hold up and pressure drop as a function of gas and liquid flow rates for single as well as two phase flow are of significance from operational as well as design point of view. Various empirical models have been suggested for the same. Artificial Neural Networks (ANN) are gaining importance in modelling of multivariable, non-linear relationship with high accuracy and even in presence of inadequate data. In present work multi layer perceptron (MLP) ANN with GDR based learning have been developed for estimation of liquid hold up and pressure drop for packed column. The ANN models thus developed are observed to be of good accuracy level, both for training and test data set.
Page(s): 820-824
URI: http://hdl.handle.net/123456789/30787
ISSN: 0975-0991 (Online); 0971-457X (Print)
Appears in Collections:IJCT Vol.11(6) [November 2004]

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