Single-Course English 5 ECTS

Complex flows

Overall Course Objectives

Complex flows are addressed using the fundamental flow equations combined with effects from surface tension, compressibility, heat and scalar transport and with multiphase phenomena. This includes properties of dispersed phase flow, particle size distribution, and particle-particle and particle-fluid interactions. The student will use the solutions and models on relevant engineering problems.

Learning Objectives

  • Develop algebraic relations and differential equations for complex flows from conservation principles and apply this on fluid problems
  • Describe and apply relations for exchange of heat and mass at a surface
  • Describe phenomena in compressible flows and compute one-dimensional compressible flow
  • Classify and describe multiphase flows
  • Describe and solve dynamical relations for particles and droplets in a flow
  • Use statistical relations to describe a population of particles, droplets or bubbles
  • Describe and apply models for particle-particle, particle-fluid and particle-wall interaction
  • Apply averaged equations for complex flow using differential equations and fluxes
  • Describe and model the effect of turbulence on complex flows
  • Present a technical solution or model in a short and precise form

Course Content

One-dimensional compressible flows, analogy between momentum, heat and mass transfer, classification of multiphase flows, dynamical relations for particles and droplets, statistical description of particles, droplets or bubbles, models for particle-particle, particle-fluid og particle-wall interaction, averaged equations for multiphase flows, turbulence in complex flows. General experience in applying and developing models for complex flow situations.

Recommended prerequisites

41320/02631/41129/41312, Routine in applying Navier-Stokes equations, experience with basic turbulence and experience with programming for data processing.

Teaching Method

Lectures and problem solving


Some exercises will use Python as programming language

See course in the course database.





13 weeks


DTU Lyngby Campus

Course code 41321
Course type Candidate
Semester start Week 5
Semester end Week 19
Days Mon 13-17

7.500,00 DKK