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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| Format: | Thesis |
| Language: | English English English |
| Published: |
2020
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| 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 |
| 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. |
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