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Neural Computing and Applications
Published in: Neural Computing and Applications 7/2019

30-08-2017 | Original Article

A hybrid computational approach for Jeffery–Hamel flow in non-parallel walls

Authors: Jagdev Singh, M. M. Rashidi, Sushila, Devendra Kumar

Published in: Neural Computing and Applications | Issue 7/2019

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Abstract

The key goal of this article is to present an efficient hybrid computational technique, namely homotopy analysis transform method (HATM), to investigate Jeffery–Hamel flow. The HATM is an innovative and efficient amalgamation of homotopy analysis technique, standard Laplace transform scheme and homotopy polynomials. The effect of Reynolds number on velocity profile is studied graphically. The obtained results are compared with existing results and it is noticed that the outcomes are in an excellent agreement. The outcomes of the suggested method reveal that the technique is easy to handle and computationally very fantastic.
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Metadata
Title
A hybrid computational approach for Jeffery–Hamel flow in non-parallel walls
Authors
Jagdev Singh
M. M. Rashidi
Sushila
Devendra Kumar
Publication date
30-08-2017
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 7/2019
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-017-3198-y

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