Course

Applied Computational Fluid Dynamics for Industrial Processes (MSK600)

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 for 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. The course ends with a group project where you select a problem of your own choice to simulate in OpenFOAM.


Dette er emnebeskrivelsen for studieåret 2022-2023. Merk at det kan komme endringer.

See course description and exam/assesment information for this semester (2024-2025)

Semesters

Fakta

Emnekode

MSK600

Vekting (stp)

5

Semester undervisningsstart

Spring

Undervisningsspråk

English

Antall semestre

1

Vurderingssemester

Spring

Timeplan

Vis timeplan

Litteratur

Pensumlisten finner du i Leganto

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

Forkunnskapskrav

Ingen

Anbefalte forkunnskaper

Introduction to Programming (DAT120), Fluid Dynamics (MSK560)

Exam

Form of assessment Weight Duration Marks Aid Exam system Withdrawal deadline Exam date
Assignment 1/2 2 Months Letter grades All — — —
Written exam 1/2 3 Hours Letter grades None permitted Inspera assessment — —


Fagperson(er)

Head of Department:

Mona Wetrhus Minde

Course coordinator:

Knut Erik Teigen Giljarhus

Method of work

8 hours of lectures/tutorials a week in the start of the semester (first 5-6 weeks) and 1-2 hours of project supervision in the rest of the semester. Mandatory project work to be carried out in groups of 2-3 students.

Overlapping

Emne Reduksjon (SP)
Heat transfer and CFD (MOM430_1) , Applied Computational Fluid Dynamics for Industrial Processes (MSK600_1) 5

Åpent for

Admission to Single Courses at the Faculty of Science and Technology
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

Emneevaluering

Through evaluation form and/or discussion according to current regulations.

Litteratur

Book An introduction to computational fluid dynamics : the finite volume method Versteeg, H.K., Malalasekera, W., Harlow, Pearson/Prentice Hall, XII, 503 s., 2007, isbn:9780131274983, Kapittel 1-9.

Kontakt

Head of Department:

Mona Wetrhus Minde

Course coordinator:

Knut Erik Teigen Giljarhus

Tilbys av

Faculty of Science and Technology

Department of Mechanical and Structural Engineering and Materials Science

The course description is retrieved from FS (Felles studentsystem). Version 1