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Statistical modeling for bioconvective tangent hyperbolic nanofluid towards stretching surface with zero mass flux condition

This article presents the implementation of a numerical solution of bioconvective nanofluid flow. The boundary layer flow (BLF) towards a vertical exponentially stretching plate with combination of heat and mass transfer rate in tangent hyperbolic nanofluid containing microorganisms. We have introdu...

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Autores principales: Shafiq, Anum, Lone, S. A., Sindhu, Tabassum Naz, Al-Mdallal, Q. M., Rasool, G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260630/
https://www.ncbi.nlm.nih.gov/pubmed/34230551
http://dx.doi.org/10.1038/s41598-021-93329-y
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author Shafiq, Anum
Lone, S. A.
Sindhu, Tabassum Naz
Al-Mdallal, Q. M.
Rasool, G.
author_facet Shafiq, Anum
Lone, S. A.
Sindhu, Tabassum Naz
Al-Mdallal, Q. M.
Rasool, G.
author_sort Shafiq, Anum
collection PubMed
description This article presents the implementation of a numerical solution of bioconvective nanofluid flow. The boundary layer flow (BLF) towards a vertical exponentially stretching plate with combination of heat and mass transfer rate in tangent hyperbolic nanofluid containing microorganisms. We have introduced zero mass flux condition to achieve physically realistic outcomes. Analysis is conducted with magnetic field phenomenon. By using similarity variables, the partial differential equation which governs the said model was converted into a nonlinear ordinary differential equation, and numerical results are achieved by applying the shooting technique. The paper describes and addresses all numerical outcomes, such as for the Skin friction coefficients (SFC), local density of motile microorganisams (LDMM) and the local number Nusselt (LNN). Furthermore, the effects of the buoyancy force number, bioconvection Lewis parameter, bioconvection Rayleigh number, bioconvection Pecelt parameter, thermophoresis and Brownian motion are discussed. The outcomes of the study ensure that the stretched surface has a unique solution: as Nr (Lb) and Rb (Pe) increase, the drag force (mass transfer rate) increases respectively. Furthermore, for least values of Nb and all the values of Nt under consideration the rate of heat transfer upsurges. The data of SFC, LNN, and LDMM have been tested utilizing various statistical models, and it is noted that data sets for SFC and LDMM fit the Weibull model for different values of Nr and Lb respectively. On the other hand, Frechet distribution fits well for LNN data set for various values of Nt.
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spelling pubmed-82606302021-07-08 Statistical modeling for bioconvective tangent hyperbolic nanofluid towards stretching surface with zero mass flux condition Shafiq, Anum Lone, S. A. Sindhu, Tabassum Naz Al-Mdallal, Q. M. Rasool, G. Sci Rep Article This article presents the implementation of a numerical solution of bioconvective nanofluid flow. The boundary layer flow (BLF) towards a vertical exponentially stretching plate with combination of heat and mass transfer rate in tangent hyperbolic nanofluid containing microorganisms. We have introduced zero mass flux condition to achieve physically realistic outcomes. Analysis is conducted with magnetic field phenomenon. By using similarity variables, the partial differential equation which governs the said model was converted into a nonlinear ordinary differential equation, and numerical results are achieved by applying the shooting technique. The paper describes and addresses all numerical outcomes, such as for the Skin friction coefficients (SFC), local density of motile microorganisams (LDMM) and the local number Nusselt (LNN). Furthermore, the effects of the buoyancy force number, bioconvection Lewis parameter, bioconvection Rayleigh number, bioconvection Pecelt parameter, thermophoresis and Brownian motion are discussed. The outcomes of the study ensure that the stretched surface has a unique solution: as Nr (Lb) and Rb (Pe) increase, the drag force (mass transfer rate) increases respectively. Furthermore, for least values of Nb and all the values of Nt under consideration the rate of heat transfer upsurges. The data of SFC, LNN, and LDMM have been tested utilizing various statistical models, and it is noted that data sets for SFC and LDMM fit the Weibull model for different values of Nr and Lb respectively. On the other hand, Frechet distribution fits well for LNN data set for various values of Nt. Nature Publishing Group UK 2021-07-06 /pmc/articles/PMC8260630/ /pubmed/34230551 http://dx.doi.org/10.1038/s41598-021-93329-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Shafiq, Anum
Lone, S. A.
Sindhu, Tabassum Naz
Al-Mdallal, Q. M.
Rasool, G.
Statistical modeling for bioconvective tangent hyperbolic nanofluid towards stretching surface with zero mass flux condition
title Statistical modeling for bioconvective tangent hyperbolic nanofluid towards stretching surface with zero mass flux condition
title_full Statistical modeling for bioconvective tangent hyperbolic nanofluid towards stretching surface with zero mass flux condition
title_fullStr Statistical modeling for bioconvective tangent hyperbolic nanofluid towards stretching surface with zero mass flux condition
title_full_unstemmed Statistical modeling for bioconvective tangent hyperbolic nanofluid towards stretching surface with zero mass flux condition
title_short Statistical modeling for bioconvective tangent hyperbolic nanofluid towards stretching surface with zero mass flux condition
title_sort statistical modeling for bioconvective tangent hyperbolic nanofluid towards stretching surface with zero mass flux condition
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260630/
https://www.ncbi.nlm.nih.gov/pubmed/34230551
http://dx.doi.org/10.1038/s41598-021-93329-y
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