 COURSE SYLLABUS

Computational Methods and Engineering Tools 7.5 credits

Beräkningsmetoder och ingenjörsverktyg
Second cycle, R7027R
Version
Course syllabus valid: Spring 2022 Sp 3 - Present
The version indicates the term and period for which this course syllabus is valid. The most recent version of the course syllabus is shown first.

 Education level Second cycle Grade scale G U 3 4 5 Subject Space Engineering Subject group (SCB) Space Technology Main field of study Space Technology

Entry requirements

M0047M Differential calculus, M0048M Linear algebra and integral calculus, M0049M Linear algebra and differential equations, M0055M Multivariate analysis or other mathematics courses that include multi-dimensional analysis and vector analysis. M0046M Mathematics Space. Mechanics in F0004T Physics 1 and F0006T Physics 3 or equivalent. F0059T Engineering Mechanics Good knowledge in English equivalent to English 6.

Selection

The selection is based on 20-285 credits

Course Aim
Divided into 3 categories below, after the course the student should show:

1. Knowledge and understanding
• Basic knowledge of numerical methods (NM) and numerical modeling of space science and space technological problems, technical and fluid engineering problems.
• Understand the underlying theories on which the Finite Element Method (FEM) and Computational Fluid Dynamics (CFD) are based.
• Basic understanding of how and why non-mechanical phenomena affect the choice of solution methods.
• Understand the importance of reliability in CFD modeling.
• Have increased knowledge about complex flow cases for space applications.
• Have knowledge of central areas for CFD and FEM modeling in space applications.
2. Skills and abilities
• Combine CAD, FEM, and CFD to solve problems.
• Feel increased experience of how NM, CAD, FEM and CFD are used in the space industry and space research.
• Be able to apply methods to make a flow mechanical simulation credible.
3. Judgment and approach
• Understand the role of NM in the space science and space industry
• Be familiar with today's challenges in the space industry related to NM, CFD and FEM.
• Be familiar with increased experience of engineering assessments and identification and formulation of problems

Contents
- Numerical methods for solving ordinary and partial differential equations, linear and non-linear equation system with application e.g. within orbital dynamics.
- Spectral analysis of time series of e.g. greenhouse gases. Simulation of gases with the Monte Carlo method.
- Computational fluid dynamics (CFD): Network generation, choice of equations and boundary conditions linked to different test cases for current simulations. Specifically, modeling, rheological models and ways of working with flow are addressed in space applications - for example, the flow of Mars's atmosphere at ground level. Furthermore, ways of validating simulations are demonstrated.
- Finita element method (FEM): Basic theories for linear and nonlinear finite element method. Practical exercises in modeling, simulation and analysis of engineering problems.

Realization
Each course occasion´s language and form is stated and appear on the course page on Luleå University of Technology's website.
The course is conducted through lectures and computational laboratory work.

Examination
If there is a decision on special educational support, in accordance with the Guideline Student's rights and obligations at Luleå University of Technology, an adapted or alternative form of examination can be provided.
The course is examined through assignments.in each of the four moments Numerical methods (NM), Computer Aided Design (CAD), Finite Element Method (FEM), and Computational Fluid Dynamics (CFD). The grade on the course (U, 3, 4,5) determines by weighing the grade on each of the parts.

Remarks
This course cannot be part of the degree together with the course F7002R Numerical methods.

Examiner
Johnny Ejemalm

Literature. Valid from Spring 2020 Sp 3 (May change until 10 weeks before course start)
Literature is to be decided.

Course offered by
Department of Computer Science, Electrical and Space Engineering

Modules