Basic fluid mechanics
Overall Course Objectives
To give a theoretical background for formulation and solution of flow problems within mechanical and energy engineering.
See course description in Danish
Learning Objectives
- describe properties of fluids and find values for the properties using tables, correlations and equation of state
- classify flows and parts of flows as laminar or turbulent and as viscous or inviscid
- calculate static pressure distribution, forces and buoyancy forces
- formulate problems using control volumes and use these for solutions
- use Bernoulli’s equation and identify when the conditions for the equations are valid
- explain the concept of a viscous boundary layer and calculate boundary layer thickness and forces on a plane surface
- choose and apply correlations for forces and pressure drop on both internal and external flows
- choose flow components and measuring techniques for an application using characteristics, correlations and estimates
- choose relevant dimensionless numbers for flows and flow components and suggest correlations using these numbers
- define efficiencies and calculate energy consumption for flow processes and components
- describe principles and velocity diagrams for flow machines such as fans, pumps, turbines and propellers
- document a technical calculation in writing in a short and precise form and evaluate other students documentation
Course Content
Introduction to the basic principles for conservation of mass, momentum and energy for fluid mechanical systems. Conservation equations on control volume form. Fluid Statics. Inviscid flows: Bernoulli’s equation; Static, dynamic and total pressure; Euler’s equation and Naviers-Stokes equations. Dimension analysis and similarity. Introduction to measurement techniques. Head loss in pipes and pipe systems. Introduction to boundary layers: Flow past flat plate and airfoils. Turbomachinery.
Recommended prerequisites
01001/01002/02002, Rutine in application of vectors, differential equations and integrals. Experience in use of Python (or similar tool) for data processing.
Teaching Method
Lectures and problem exercises.
Faculty
Remarks
Lectures will be in Danish in the fall, but English speaking students will be supported at exercises and offered an English exam. The course is given in English in the spring.