lecture1.pdf - Introduction to Computational Fluid Dynamics Instructor Dmitri Kuzmin Institute of Applied Mathematics University of Dortmund

# lecture1.pdf - Introduction to Computational Fluid Dynamics...

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Introduction to Computational Fluid Dynamics Instructor: Dmitri Kuzmin Institute of Applied Mathematics University of Dortmund [email protected] Fluid (gas and liquid) flows are governed by partial differential equations which represent conservation laws for the mass, momentum, and energy. Computational Fluid Dynamics (CFD) is the art of replacing such PDE systems by a set of algebraic equations which can be solved using digital computers. kuzmin/cfdintro/cfd.html
What is fluid flow?
What is CFD?
Why use CFD? Numerical simulations of fluid flow (will) enable architects to design comfortable and safe living environments designers of vehicles to improve the aerodynamic characteristics chemical engineers to maximize the yield from their equipment petroleum engineers to devise optimal oil recovery strategies surgeons to cure arterial diseases (computational hemodynamics) meteorologists to forecast the weather and warn of natural disasters safety experts to reduce health risks from radiation and other hazards military organizations to develop weapons and estimate the damage CFD practitioners to make big bucks by selling colorful pictures :-)
Examples of CFD applications Aerodynamic shape design
Examples of CFD applications CFD simulations by L¨ohner et al.
Examples of CFD applications Smoke plume from an oil fire in Baghdad CFD simulation by Patnaik et al.
Experiments vs. Simulations CFD gives an insight into flow patterns that are difficult, expensive or impossible to study using traditional (experimental) techniques Experiments Simulations Quantitative description of flow Quantitative prediction of flow phenomena using measurements phenomena using CFD software for one quantity at a time at a limited number of points and time instants for a laboratory-scale model for a limited range of problems and operating conditions for all desired quantities with high resolution in space and time for the actual flow domain