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Overview:

The module covers fundamental theories of fluid flows and transport phenomena relevant to biological and bioengineering applications and provides examples of these theories applied in practice.

The module introduce fundamental fluid mechanics concepts and reveals how fluid mechanics principles can be applied to flows in biological systems, with emphasis on blood flows. It introduces flow measurement and modelling techniques and their application in physiology and disease.

Topics covered:

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• Fundamental fluid mechanics concepts, kinematics descriptions, and integral and differential analysis of fluid flows
• Cardiovascular fluid dynamics (cardiac cycle, pressure volume diagrams, macrovascular flow fundamentals, Windkessel models).
• Rheology and multiphase nature of blood.
• Transport phenomena in the microcirculation (solute transport and tissue oxygenation, diffusion, filtration, Krogh model of tissue oxygenation, transport though porous media).
• Dimensional analysis and similarity
• Experimental and computational methods in biofluid mechanics

Module Aims

• Introduce fundamental fluid mechanics concepts
• Reveal how fluid mechanics principles can be applied to flows in biological systems, with emphasis on blood flows
• Introduce flow measurement and modelling techniques and their application in physiology and disease

Learning outcomes:

Upon completion of the module, students will be able to:

• Demonstrate knowledge and understanding of fluid mechanics concepts, principles and theories as well as the various engineering tools (analytical, simulation and experimental) used to analyse fluid flows.
• Appreciate the physics underpinning flows in biological systems and biomedical applications and application of underlying theories to such problems.
• Identify the various transport phenomena governing
• biological flows and biomedical engineering applications (e.g. heart valves, medical devices).Ìý
• Apply mathematical models, simulations and experimental tools to analyse the above.
• Develop transferable skills including problem solving, computational skills, communication and effective sourcing of background resources and materials required for self-learning.