Vår 2024

TEK-3604 Multiphysics Simulering - 10 stp

The course is administrated by

Institutt for automasjon og prosessteknologi

Type of course

The course may be taken as a single course.

Course overlap

TEK-3015 Multiphysics Simulation 10 ects

Course contents

The course covers multiphysics modelling techniques for structural mechanics and fluid mechanics/heat transfer. Students will learn about structures problem and simulation techniques with the use of Finite Element Methods (FEM). Similarly, students will learn about fluid mechanics/heat transfer problems with the use of Finite Volume Methods and Finite Difference Methods (FVM / FDM ). In both, students will learn about governing equations, discretization techniques, initial & boundary conditions, and solving techniques. They will also learn ANSYS® Multiphysics and MATLAB® software.

Admission requirements

A relevant undergraduate Bachelor Engineering program with minimum 25 credits mathematics, 5 credits statistics, 7,5 credits physics.

Application code: 9371

Objective of the course

Knowledge:

The candidate will learn the basics of Multiphysics simulation and acquire important knowledge about setting up one.
The candidate will learn certain advanced concepts in relation to the mechanics of materials and fluid mechanics/heat transfer.

Skills:

Candidates will understand the term Multiphysics and its relation to practical problems.
Candidates will build knowledge in discretization techniques used in Multiphysics simulations such as Finite Element Method (FEM), Finite Difference Method (FDM), Finite Volume Method (FVM), etc.
Candidates will discretize the partial differential equations (PDE) of structures, fluid mechanics, and heat transfer.
Candidates will apply the correct boundary and initial conditions in solving the Multiphysics simulation problems.
Candidates will also learn about the use of computational resources in solving Multiphysics simulation problems.

General Competence:

The candidate will be able to appreciate the importance of Multiphysics simulation for engineering applications.
The candidate will also build an understanding of the margin of error between real cases to simulated ones.

Language of instruction

English

Teaching methods

Lectures, workshops and laboratory work.