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Application of CFD and ANN in Predicting the Flow Nature of Flue Gas in the Catalytic Converter

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Title Application of CFD and ANN in Predicting the Flow Nature of Flue Gas in the Catalytic Converter
 
Creator S, Sathyanarayanan
S, Suresh
M, Sridharan
 
Subject Diffuser plate
Flow trajectory
Laminar flow
Turbulence
Uniform flow distribution
 
Description 51-59
The main objective of this research is to improve the performance of the catalytic converter by achieving uniform flow
distribution of petrol engine exhaust gas using a distributor plate in the upstream section. The flow analysis in the catalytic
converter is conducted using computational fluid dynamics (CFD) Solid works 2017 simulation software. Totally, flow
simulation is carried out for twelve different cases. It has been observed that a 140 mm diffuser and distributor plate positioned
117 mm from the entrance delivers the optimal flow trajectory. This catalytic converter highly exhibits a non-linear correlation
between the input and output variables. Results of such simulation study are then considered as an input for artificial neural
network (ANN) model, an artificial intelligence (AI) technique. Results predicted by the ANN model are compared with CFD
output. Compared outputs are in good agreement with each other. To sum up, we conclude that by introducing the distributor
plate in the flow regime of the conventional catalytic converter, we can accelerate the rate of uniform flow distribution.
 
Date 2022-01-07T09:46:09Z
2022-01-07T09:46:09Z
2022-01
 
Type Article
 
Identifier 0975-1084 (Online); 0022-4456 (Print)
http://nopr.niscair.res.in/handle/123456789/58873
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source JSIR Vol.81(01) [January 2022]