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Kyushu Institute of Technology   Graduate School of Life Science and Systems Engineering
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Top page > Training program to develop research awareness > Fundamentals of CFD Analysis

Fundamentals of CFD Analysis

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Summary


This course begins with the fundamentals of numerical analysis, going on to the discretization of basic equations, and touches on simple programming to enable students to develop skill in analyzing problems involving the flow of living body. The course also aims to increases understanding of commercial software.


Course Contents


1. Lectures


  • ・Fundamentals of numerical analysis
  • ・Physical understanding of the basic
    equation of target problems
  • ・Discretization of basic equations




2. Practical Training




Structure and Schedule


Lectures will be given using texts and reference material assigned in the package. Progress will be presented in seminar style followed by written submission as a report. Experiments will take place according to the procedure specified in the package. Reports will be made once per week and meetings will be called as needed.


Course Option


Exercise problems related to the theme will be decided upon through private consultation with each student


Course Objectives


The initial objective of the course is to deepen student understanding of the fundamentals of numerical analysis and the discretization of basic equations. Next, the course will move onto the selection of numerical analysis methods for target exercises and deepening understanding on decretization. Finally the course aims to analyze self-created problem analysis software and analyze using a commercial CFD package software.


Fundamental skills required for the course


It is desirable that students to have a basic knowledge of mathematics or physics, and information mathematics.


Examples of Research Theme Combinations


The following list shows examples of research projects that can be combined with this course.

"Numerical analysis in MEMS"
"Analysis of fuel battery ion flow"
"Numerical analysis method and SOM (Self-organizing map)"
"AMBER code and energy package development"


Assessment of academic achievement


Scores will be given on a scale of 1 to 5 for the items listed below. An average score of 3.5 is considered a passing score.
  1. (1) Level of understanding of the fundamentals of numerical analysis
  2. (2) Level of understanding of the selection of basic equation for the problem and its decretization
  3. (3) Level of understanding of self-created CFD analysis and commercial CDF analysis
  4. (4) Final presentation and report