More than 60 engineering simulation courses at your disposal.

ANSYS CFD - Computational Modeling of Flows in Porous Media | Online

  • EAD
  • Computational Fluid Dynamics

This training aims to present the phenomena associated with the flow in porous media, as well as the main characteristics of its computational modeling and the adequate use of these resources in ANSYS commercial software.


This is an 8-session online training (100% EAD), with each presentation lasting approximately 2 hours. Each session is presented live and recorded content will be available for student review for 90 days.
Transmission of lessons: Tuesdays and Thursdays from 6 p.m. to 8 p.m. (GMT -3).
Make your pre-registration and receive the complete schedule of the course.


  • Governing Equations
  • 1. Important Concepts
  • 2. Darcy's Law
  • 3. Darcy-Forchheimer equation
  • 4. Ergun Equation
  • Computational Modeling
  • 1. Considerations and Limitations
  • 2. Governing Equations
  • 3. Superficial and True Formulation
  • 4. Relative Viscosity Models
  • 5. Energy in Porous Medium
  • 6. Porous Medium Turbulence
  • 7. Initialization of Domain Flow
  • Case Studies
  • 1. Fixed Bed Flow
  • 2. Simplified Reactor Flow

    Instructors/Teaching Staff:

    • Martin Poulsen Kessler, Dr.

      PhD in Mechanical Engineering from the Federal University of Rio Grande do Sul (UFRGS). Currently works as a CFD Consultant for ESSS.


    Basic knowledge in fluid dynamics analysis with ANSYS software.


    Once the course is finished, the student will have access to the certificate of participation issued by the ESSS Institute, with international recognition and validity.

Buy now


payment methods:

  • Deposit
  • Credit Card

Other courses

Get in touch by one of our phones or by email cursos@esss.com.br

Imagem Decorativa 1
Computational Fluid Dynamics

Post-graduation: Numerical Flow Analysis using CFD (Computational Fluid Dynamics)
| Portuguese |

Understand the physics of the problems studied and be able to perform practical simulation and flow analysis activities using Computational Fluid Dynamics.