Prediction of pressure drop using artificial neural network for gas non-newtonian liquid flow through piping components

Industrial and Engineering Chemistry Research

Volumn 49, Issue 19, 2010, Pages 9423-9429

  Bar, Nirjhar ^a   Biswas, Manindra Nath ^b   Das, Sudip Kumar ^a  

^a UNIVERSITY OF CALCUTTA   (India)

^b GOVERNMENT COLLEGE OF ENGINEERING AND LEATHER TECHNOLOGY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; EXPERIMENTAL DATA; FIRST-PRINCIPLES; FRICTIONAL PRESSURE DROPS; GATE VALVE; GLOBE VALVE; HIDDEN LAYERS; HORIZONTAL PIPES; HORIZONTAL TUBES; MULTI LAYER PERCEPTRON; NON-NEWTONIAN; PIPING COMPONENTS; POWER-LAW; UNIVERSITY OF CALCUTTA;

BACKPROPAGATION ALGORITHMS; CONTACTS (FLUID MECHANICS); FORECASTING; GASES; NEURAL NETWORKS; NON NEWTONIAN FLOW; ORIFICES; PRESSURE DROP;

NON NEWTONIAN LIQUIDS;

EID: 77957560004     PISSN: 08885885     EISSN: 15205045     Source Type: Journal    
DOI: 10.1021/ie1007739     Document Type: Article

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