Sensitivity analysis on steady bionanofluid boundary layer flow

Bionanofluid is a water-based fluid consisting both nanoparticles and living motile microorganisms. Improving nanofluid instability, inducing mixing, enhancing heat and mass transfer are the benefits of adding living motile microorganisms to a nanofluid. Hence, the continuous investigation of the...

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Bibliographic Details
Main Author: Chan, Sze Qi
Format: Thesis
Language:English
English
English
Published: 2020
Subjects:
Online Access:http://eprints.uthm.edu.my/1003/2/24p%20CHAN%20SZE%20QI.pdf
http://eprints.uthm.edu.my/1003/3/CHAN%20SZE%20QI%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/1003/1/CHAN%20SZE%20QI%20WATERMARK.pdf
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Summary:Bionanofluid is a water-based fluid consisting both nanoparticles and living motile microorganisms. Improving nanofluid instability, inducing mixing, enhancing heat and mass transfer are the benefits of adding living motile microorganisms to a nanofluid. Hence, the continuous investigation of the thermophysical properties of bionanofluid is essential in the aspect of stability and reliability. In this study, steady bionanofluid boundary layer flow near the stagnation point of a permeable shrinking surface with velocity and thermal slips conditions, moving surface with convective boundary conditions, static wedge surface and MHD permeable surface associated with multiple slips effect are modelled mathematically. The governing partial differential equations are transformed into a system of ordinary differential equations through similarity transformation. It is then solved numerically by using the shooting technique programmed in Maple18. Lastly, sensitivity analysis presented from Minitab18 is invoked to figure out the dependency of response on multivariate independent variables. The skin friction coefficient increases with suction showing positive sensitivity but decreases with slip representing negative sensitivity. Furthermore, among the independent variables, local Sherwood number is most sensitive to the Lewis number whereas the bioconvection Péclet and Schmidt numbers are the key drive parameters to the local density of motile microorganism. The theoretical study that comes with numerical results serve as an initial guideline or reference for future experimental studies and future device fabrication.