Computational Fluid Dynamics (CFD) (MSK610)

Computational fluid dynamics (CFD) lets us solve the governing equations for fluid dynamics for complex engineering problems. CFD is today used in a wide range of industries, some examples are:

• air resistance in airplanes and cars
• wind and wave loads on buildings and marine structures
• heat- and mass transfer in chemical processing plants
• consequence modelling of fires and explosions in the oil- and gas industry

In this course you will get an introduction to computational fluid dynamics. The first part of the course deals with fundamental theory and numerical methods. The second part of the course introduces use of the practical CFD software OpenFOAM. Both parts end with a group project where you select a problem of your own choice to investigate further.

Course description for study year 2023-2024

Facts

MSK610

1

10

Spring

1

Spring

English

Time table

Learning outcome

Knowledge

The students shall

• know the governing equations for fluid dynamics, and how these can be described as a general transport equation
• know the properties of the finite volume method for discretizing transport equations
• know the fundamental discretization schemes for each term of the transport equation
• know the most common methods for treating the coupled flow problem
• know the most common models for turbulent flow
• be able to discuss advantages and disadvantages of different choices of solution methods and models

Skills

The students shall be able to

• perform the discretization of all the terms in the transport equation with the finite volume method
• implement numerical methods to solve transport equations in the Python programming language
• perform simulations in the CFD software OpenFOAM; create simulation mesh, select initial- and boundary conditions, discretization schemes and solution methods and visualize the results
• compare simulations against analytical and experimental results

General qualifications

The students shall be able to

• simplify practical problems to make them amenable for analysis with appropriate scientific methods
• visualize and present data from simulations in a scientific manner
• interpret results from simulations and evaluate accuracy and uncertainty
• collaborate in groups to carry out a project work

None

Recommended prerequisites

DAT120 Introduction to Programming, MSK560 Fluid Dynamics

Exam

Assignments, projects and written exam

Coursework requirements

Assignments (at least 4 of 6 have to be approved)

Course teacher:

Knut Erik Teigen Giljarhus

Course teacher:

Knut Erik Teigen Giljarhus

Course coordinator:

Knut Erik Teigen Giljarhus

Mona Wetrhus Minde

Open for

Computational Engineering - Master of Science Degree Programme Environmental Engineering - Master of Science Degree Programme Structural and Mechanical Engineering - Master of Science Degree Programme Marine and Offshore Technology - Master of Science Degree Programme Exchange programme at Faculty of Science and Technology

Course assessment

There must be an early dialogue between the course coordinator, the student representative and the students. The purpose is feedback from the students for changes and adjustments in the course for the current semester.In addition, a digital course evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.

Literature

The syllabus can be found in Leganto