Integrated intelligent computing paradigm for the dynamics of micropolar fluid flow with heat transfer in a permeable walled channel
In this work, a novel application of bio-inspired computational heuristic paradigm is presented for micropolar fluid flow and heat transfer system in a channel with permeable walls by modeling competency of neural networks, global search of genetic algorithms, and rapid local convergence of sequenti...
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| Published in: | Applied soft computing Vol. 79; pp. 139 - 162 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
01.06.2019
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| Subjects: | |
| ISSN: | 1568-4946, 1872-9681 |
| Online Access: | Get full text |
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| Abstract | In this work, a novel application of bio-inspired computational heuristic paradigm is presented for micropolar fluid flow and heat transfer system in a channel with permeable walls by modeling competency of neural networks, global search of genetic algorithms, and rapid local convergence of sequential quadratic programming. Approximation theory in the mean squared error sense is exploited for the formulation of an objective function to solve the governing nonlinear fluidics system. The designed scheme is employed to study the dynamics of the model in terms of stream function, microrotation, concentration, and temperature profiles for prominent factors based on Reynolds number, Peclet number for diffusion of heat and mass, coupling, spin-gradient viscosity, micro inertia density parameters. The consistency and robustness of the solver are validated through statistical performance indices based on comparison with state of art Adams numerical method for accuracy and complexity measures.
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•A novel integrated heuristic is designed for a system of micropolar fluidic model.•Consistent accuracy is achieved in concurrence with the Adams numerical method.•Validation of the accuracy and convergence is certified through results of statistics.•Applicability and smooth implementation are other creditable attractions of the scheme. |
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| AbstractList | In this work, a novel application of bio-inspired computational heuristic paradigm is presented for micropolar fluid flow and heat transfer system in a channel with permeable walls by modeling competency of neural networks, global search of genetic algorithms, and rapid local convergence of sequential quadratic programming. Approximation theory in the mean squared error sense is exploited for the formulation of an objective function to solve the governing nonlinear fluidics system. The designed scheme is employed to study the dynamics of the model in terms of stream function, microrotation, concentration, and temperature profiles for prominent factors based on Reynolds number, Peclet number for diffusion of heat and mass, coupling, spin-gradient viscosity, micro inertia density parameters. The consistency and robustness of the solver are validated through statistical performance indices based on comparison with state of art Adams numerical method for accuracy and complexity measures.
[Display omitted]
•A novel integrated heuristic is designed for a system of micropolar fluidic model.•Consistent accuracy is achieved in concurrence with the Adams numerical method.•Validation of the accuracy and convergence is certified through results of statistics.•Applicability and smooth implementation are other creditable attractions of the scheme. |
| Author | Zameer, Aneela Mehmood, Ammara Raja, Muhammad Asif Zahoor Afsar, Khan Awan, Saeed Ehsan |
| Author_xml | – sequence: 1 givenname: Ammara surname: Mehmood fullname: Mehmood, Ammara email: ms_mehmud16@pieas.edu.pk organization: Department of Electrical Engineering, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan – sequence: 2 givenname: Khan surname: Afsar fullname: Afsar, Khan email: leobright_physics@yahoo.com organization: Department of Physics, Allama Iqbal Open University, Islamabad, Pakistan – sequence: 3 givenname: Aneela orcidid: 0000-0003-3837-5775 surname: Zameer fullname: Zameer, Aneela email: aneelaz@pieas.edu.pk organization: Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Nilore, Islamabad, 45650, Pakistan – sequence: 4 givenname: Saeed Ehsan orcidid: 0000-0002-4557-9533 surname: Awan fullname: Awan, Saeed Ehsan email: Saeed.ehsan@ciit-attock.edu.pk organization: Department of Electrical and Computer Engineering, COMSATS University Islamabad, Attock Campus, 43600, Pakistan – sequence: 5 givenname: Muhammad Asif Zahoor orcidid: 0000-0001-9953-822X surname: Raja fullname: Raja, Muhammad Asif Zahoor email: Muhammad.asif@ciit-attock.edu.pk organization: Department of Electrical and Computer Engineering, COMSATS University Islamabad, Attock Campus, 43600, Pakistan |
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| Keywords | Micropolar fluidics systems Sequential quadratic programming Bio-inspired computing Neural networks Genetic algorithms |
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