Study Guide@lith

Linköping Institute of Technology

Valid for year : 2017
TMMV54 Computational Heat Transfer, 6 ECTS credits.

For:   AER   EM   I   Ii   M   MEC   Y  


Prel. scheduled hours: 92
Rec. self-study hours: 68

  Area of Education: Technology

Main field of studies: Mechanical Engineering,Energy and Environmental Engineering

  Advancement level (G1, G2, A): A

After the course the student must be able to:
  • Model, calculate and apply basic heat transfer phenomena: conduction, convection and radiation
  • Derive,implement and apply numerical methods for analysis of industrial heat transfer problems
  • Apply first law of thermodynamics to a comprahensive analysis of industrial heat transfer problems
  • Model and simulate industrial heat transfer problems on a detailed as well as on a system level
  • Valuate the relevans of different solutions of industrial heat transfer problems
  • Model, simulate and analyze realistic industrial heat transfer problems with commercial available software

Prerequisites: (valid for students admitted to programmes within which the course is offered)
Numerical Methods, Algebra, Analysis, and basic courses in Thermodynamics, Fluid Mechanics and Heat Transfer.

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding.

Supplementary courses:
Computational Methods in Fluid Dynamics (CFD), Computational Methods in Fluid Dynamics (CFD) advanced course, Mechanical engineering System - project course.

Teaching is in the form of lectures and guidance for assignments and project. Assignments and project is solved in groups. The course includes a large amount of computer work.

Course contents:
Basic relations for heat transport in fluids and solids. Heat transport across material boundaries. Modelling techniques. Numerical computational methods in heat transfer, especially. The finite difference method. Discretization techniques. Explicit and implicit numerical methods for one- and two-dimensional problems, both steady-state and non-steady.

Course literature:
Stated in the course information on the course homepage.

Project assignment

Course language is Swedish/English.
Department offering the course: IEI.
Director of Studies:
Examiner: Hossein Nadali Najafabadi
Link to the course homepage at the department

Course Syllabus in Swedish

Linköping Institute of Technology


Contact: TFK ,
Last updated: 10/09/2017