Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/14956
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dc.contributor.authorAli, Mohammed Ali Mohammed-
dc.contributor.authorSupervisor, Mohammed Hassan Mohammed Khabir-
dc.contributor.authorCo-supervisor, Faiz Gad Elmola Adam Awad-
dc.date.accessioned2016-12-18T10:47:44Z-
dc.date.available2016-12-18T10:47:44Z-
dc.date.issued2016-11-10-
dc.identifier.citationAli, Mohammed Ali Mohammed . Applications of the Spectral Local Linearisation Method on Different Types of Fluid Flow / Mohammed Ali Mohammed Ali ; Mohammed Hassan Mohammed Khabir , Faiz Gad Elmola Adam Awad .- Khartoum: Sudan University of Science and Technology, college of Science, 2016 .- 40p. :ill. ;28cm .-M.Sc.en_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/14956-
dc.descriptionThesisen_US
dc.description.abstractIn this thesis we paid a tension on two kind of fluid flow problems, the the non-Newtonian fluids flow include the Couette flow, Poiseuille flow, Couette Poiseuille flow, and the convection heat and mass transfer in non-Darcy porous medium. The highly nonlinear differential equations governing the fluid flow transferred into ordinary differential equations. Later the resulting equations solved numerically by using the spectral local linearization method (SLLM). The effects of the governing parameters such as Brinkman number, Nusselt number, Sherwood number, Lewis number, the buoyancy ratio, the pore diameter dependent Rayleigh number, and other parameters have been shown graphically.en_US
dc.description.sponsorshipSudan University of Science and Technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Science and Technologyen_US
dc.subjectMathematicsen_US
dc.subjectFluid Flowen_US
dc.subjectSpectral Local Linearisationen_US
dc.titleApplications of the Spectral Local Linearisation Method on Different Types of Fluid Flowen_US
dc.title.alternativeتطبيقات الطريقة الخطية المحلية الطيفية علي أنواع مختلفة لتدفق المائعen_US
dc.typeThesisen_US
Appears in Collections:Masters Dissertations : Science

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