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CFD Weekends Course August 2025: Computational Fluid Dynamics Concepts, Methods, Programing and Simulation by CFD Software

This is a basic CFD course for beginners starting with an overview on CFD methods, fluid dynamics modeling and Navier-Stokes equations for transport of mass, momentum and energy, describing basic CFD concepts, methods and computational programing and then practical CFD simulations using CFD Software such as Ansys Fluent via following 12 lectures x 60 min, organizing within 3 Weekends (10 to 24 August, Sundays 10, 17 and 24 August from 11:00 to 16:00, Pause at 13:00-14:00, Berlin Time), covering:

Weekend 1: Introduction to CFD Concept, Modeling and Methods, Starting Practical CFD Simulation Case

Weekend 2: CFD Methods, Overview on Finite Difference and Finite Volume Formulations, Discretization and Applications

Weekend 3: Practical CFD Simulation by Ansys Fluent, SimScale and OpenFOAM

Recordings of the live lectures will be available for the registered participants for the review, time zone difference and overlapped time problems of the participants. Certificates will be provided for the participants after course completion.

Registration Form is following (after course content), Registration Deadline: July 31, Early Registration (20% discount) Deadline: July 20.

Course capacity is maximum 20 participants, considering our interactive live lectures and supervised CFD Project discussions.

This is a course for all engineers, students and experts who know the basis of material and energy balance and fluid dynamics, but they have limited CFD knowledge for practical simulations. As well this course is relevant for CFD users who wants to deepen their CFD knowledge for more reliable CFD simulations and professional post-processing for complex physics and practical applications in aerospace, mechanical, petrochemical and civil engineering, material & energy process, environmental technology, pharmaceutical industry, biomedical applications, etc.

Course Content and Agenda

Sundays 11:00 to 16:00, Pause13:00-14:00.

Weekend 1: Introduction to CFD Concept, Modeling and Methods, Starting Practical CFD Simulation Case

Lecture 1: Introduction to the CFD Basis, Application and Methods.

  • CFD history and applications in various fields.
  • Importance of CFD in modern science and engineering.
  • CFD methods in simple words: Finite Difference and Finite Volume examples.

Lecture 2: Starting Practical CFD Simulation Case Example

  • CFD Case Concept and Modeling : System properties distribution and boundary conditions, transport equations, steady and transient processes, differential small element analysis
  • CFD Case Design and Settings: Geometry preparation, face and body assignments for material and boundary conditions
  • Computational Mesh Generation: Meshing type and methods, mesh quality basic rules and control, accuracy and stability criteria, computational time and cost
  • Physical model category and settings, operational conditions, units and references, material type and properties, initial conditions, time step settings

Lecture 3: Fluid Dynamics Heat and Mass Transport Equations in CFD

  • Mass and energy conservation principal laws.
  • Transport phenomena particular laws: Diffusion, convection, conduction and radiation.
  • From main system to differential element analysis: Why and how.
  • Basic concepts in fluid dynamics modeling: From Newton 2nd Law towards Navier Stokes Equations.
  •  Momentum Shell Balance.
  • Concepts of 1D, 2D and 3D modeling for 3D physics in different geometry.

Lecture 4: Navier-Stokes Equations Derivation and Physical Interpretation

  • Navier-Stokes equations in simple words.
  • Continuity, momentum, and energy equations.
  • Analytical and computational solutions of Navier-Stokes Equations.

Weekend 2: CFD Methods, Overview on Finite Difference and Finite Volume Formulations, Discretization and Applications

Lecture 5: Finite Difference Method (FDM)

  • Mathematical transformation of differential transport equations to algebraic calculations.
  • Classification of partial differential equations (PDEs) – elliptic, parabolic, and hyperbolic.
  • Discretization Methods: Central, forward, and backward differencing, explicit and implicit methods.
  • BTCS, FTCS, Richardson, Dufort-Frankel explicit, Crank-Nicolson implicit.
  • Parabolic systems: 1D unsteady heat/mass/momentum diffusion.
  • Stability, consistency, and convergence.
  • Computational mesh types and importance

Lecture 6: Finite Difference CFD Simulations for Fluid Flow, Heat and Mass Transfer

  • Elliptic systems: Potential Flow (inviscid irrotational) and 2D steady heat transfer.  
  • Hyperbolic systems: Wave function, Burgers Equation.
  • Incompressible Flows: 1D and 2D Euler Equations (Inviscid, Compressible, Rotational).

Lecture 7: Finite Volume Method (FVM)

  • Basic principles of the finite volume method.
  • Direct satisfaction of conservation laws on computational cells.
  • Control volume formulations.
  • Flux calculation at the cell faces.

Lecture 8: Finite Volume Method for Diffusion and Convection Problems

  •  Finite volume method for diffusion problems9
  • CFD worked examples.
  • Finite volume method for mixed diffusion-convection problems.

Weekend 3: Practical CFD Simulation by Ansys Fluent, SimScale and OpenFOAM

Lecture 9: Introduction to Popular CFD Solvers, Software and Platforms

  • ANSYS Fluent CFD Simulation
  • SimScale Online On-Cloud CFD Simulations
  • OpenFOAM CFD Programing and Simulations

Lecture 10: Hands-on Simulation and Project Work-I-ANSYS Fluent

  • Running CFD Simulations, initialization, continuity, momentum and energy convergence process, errors and accuracy, running simulation activities, monitoring and reports
  • Post processing: Contours, vectors, scales, states, graphs, profiles, animations, physical interpretation
  • CFD Simulation Verification, time step and mesh independency
  • ANSYS Fluent Example: Heat Conduction and Fluid Flow in Tube
  • Mesh generation in ANSYS Fluent.
  • Material properties.
  • Boundary conditions.
  • Fluid in tubes and cross flow CFD simulations.
  • Thermal conduction and heat transfer CFD simulations.

Lecture 11:  Boundary Conditions and Mesh Generation

  • physical and computational concepts and settings of boundary conditions
  •  Rigid boundary (slip), no-slip walls.
  • Far-field.
  •  Symmetry.
  • Inflow/Outflow (pressure and velocity).
  • Temperature and heat flux.
  • Diffusion and reactive boundaries.
  • Periodic conditions.
  • Interfacial boundary conditions.
  • Computational mesh types and importance
  • Adaptive mesh to boundary conditions.

Lecture 12: Hands-on Simulation and Project Work-II-ANSYS Fluent

  • Fluid in tubes and cross flow CFD simulations.
  • Thermal conduction and heat transfer CFD simulations.
  • Fluid flow in porous media
  • Mass transfer process

Extra Lecture: Turbulence Modeling

  • Nature of turbulence and challenges in modeling.
  • Direct Numerical Simulation (DNS).
  • Reynolds-Averaged Navier-Stokes (RANS) equations.
  • Common turbulence models: k-ε, k-ω
  • Wall functions and near-wall treatments.
  • Large Eddy Simulation
  • Turbulent flows CFD Simulation.

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