Numerical Techniques for Process Technology

Level of Study

Bachelor

Teaching semester

Spring

Objectives and Content

Objectives

This course aims to provide an introduction to numeric techniques used by the industry for quantitative treatment of fluid flow, mass and heat transport (Computational Fluid Dynamics) and fundametals of statistical physics and statistical ensembles.

The course explains how the basic principes of physics and applied mathematics enable the use of numeric techniques for the purposes of process technology.

Content

Description of different types of flow. Navier-Stokes equation. Numerical techniques used for quantitative treatment of fluid flow, mass and heat transport (Computational fluid dynamics). Fundamentals of statistical physics and statistical ensembles. Molecular simulations. Introduction to molecular dynamics and Monte Carlo simulations. Python programming.

Learning Outcomes

On completion of the course

The student should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student will

• Achieve a deeper insight into fundamental transport equations of process technology
• Learn how to apply various numerical techniques for quantitative treatment of fluid dynamics and interfacial systems for the purposes of process equipment design

Skills

The student will

• Master the basics of working with Linux OS
• Be able to write programs in Fortran for the purposes of numeric simulations (CFD)
• Be able to modify/maintain existing Fortran packages

General competence

The student will acquire knowledge and understanding to read advanced literature and scientific articles dealing with numeric simulations (CFD), as well as utilize CFD packages widely used in industry while being aware of their strengths and limitations.

Required Previous Knowledge

None.

Recommended Previous Knowledge

Knowlegde of scientific computing or basic informatics

Credit Reduction due to Course Overlap

PTEK205: 10 ECTS

PTEK204: 5 ECTS

Teaching and learning methods

The teaching method is by combination of lectures and computer laboratory exercises.

Lectures/ 5 hours per week

Computer laboratory exercises / 1 hour per week

Lectures/ 15 weeks

Computer laboratory exercises / 13 weeks

Compulsory Assignments and Attendance

Two accepted obligatory exercises in Fortran programming. Compulsory assignments are valid for 3 subsequent semesters.

Forms of Assessment

The forms of assessment are:

• Written examination (4 hours), 100% of total grade.

Examination Support Material

None

Grading Scale

Ved sensur vert karakterskalaen A-F nytta.

Assessment Semester

Only in autumn semester.

Reading List

The reading list will be available within June 1st.

Course Evaluation

The course will be evaluated by the students in accordance with the quality control system at UiB and the department.

Programme Committee

The course will be evaluated by the students in accordance with the quality control system at UiB and the department.

Course Coordinator

Contact information for the course coordinator is available at «Mitt UiB», alternatively contact the student advisor.

Course Administrator

The Faculty of Mathematics and Natural Sciences and Department of Physics and Technology are administratively responsible for the course.