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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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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. |
format | Online Article Text |
id | pubmed-8260630 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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