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

Abstract 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 hav...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Anum Shafiq, S. A. Lone, Tabassum Naz Sindhu, Q. M. Al-Mdallal, G. Rasool
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/c5fe100bfb304f9792140f7c0b95a5af
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:c5fe100bfb304f9792140f7c0b95a5af
record_format	dspace
spelling	oai:doaj.org-article:c5fe100bfb304f9792140f7c0b95a5af2021-12-02T18:34:20ZStatistical modeling for bioconvective tangent hyperbolic nanofluid towards stretching surface with zero mass flux condition10.1038/s41598-021-93329-y2045-2322https://doaj.org/article/c5fe100bfb304f9792140f7c0b95a5af2021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-93329-yhttps://doaj.org/toc/2045-2322Abstract 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.Anum ShafiqS. A. LoneTabassum Naz SindhuQ. M. Al-MdallalG. RasoolNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Anum Shafiq S. A. Lone Tabassum Naz Sindhu Q. M. Al-Mdallal G. Rasool Statistical modeling for bioconvective tangent hyperbolic nanofluid towards stretching surface with zero mass flux condition
description	Abstract 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	article
author	Anum Shafiq S. A. Lone Tabassum Naz Sindhu Q. M. Al-Mdallal G. Rasool
author_facet	Anum Shafiq S. A. Lone Tabassum Naz Sindhu Q. M. Al-Mdallal G. Rasool
author_sort	Anum Shafiq
title	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_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_sort	statistical modeling for bioconvective tangent hyperbolic nanofluid towards stretching surface with zero mass flux condition
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/c5fe100bfb304f9792140f7c0b95a5af
work_keys_str_mv	AT anumshafiq statisticalmodelingforbioconvectivetangenthyperbolicnanofluidtowardsstretchingsurfacewithzeromassfluxcondition AT salone statisticalmodelingforbioconvectivetangenthyperbolicnanofluidtowardsstretchingsurfacewithzeromassfluxcondition AT tabassumnazsindhu statisticalmodelingforbioconvectivetangenthyperbolicnanofluidtowardsstretchingsurfacewithzeromassfluxcondition AT qmalmdallal statisticalmodelingforbioconvectivetangenthyperbolicnanofluidtowardsstretchingsurfacewithzeromassfluxcondition AT grasool statisticalmodelingforbioconvectivetangenthyperbolicnanofluidtowardsstretchingsurfacewithzeromassfluxcondition
_version_	1718377886772101120

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

Ejemplares similares