Length: 2 Days
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Computational Fluid Dynamics (CFD) Training by Tonex

This comprehensive Computational Fluid Dynamics (CFD) Training by Tonex is designed to equip engineers, researchers, and professionals with the essential skills and knowledge required to master the intricacies of CFD simulations.

Through a combination of theory, hands-on exercises, and real-world applications, participants will gain a deep understanding of fluid dynamics and learn to effectively leverage CFD tools for analysis and design in various industries.

Learning Objectives:
Upon completion of this course, the participants are able to:·

  • Learn the fundamental principles of fluid dynamics and their mathematical representations.
  • Gain proficiency in using industry-standard CFD software for simulations and analysis.
  • Develop the capability to model and simulate complex fluid flow problems.
  • Acquire skills to interpret and visualize CFD results for informed decision-making.
  • Apply CFD techniques to solve practical engineering and scientific problems.
  • Enhance their problem-solving skills and critical thinking in fluid dynamics applications.

Audience:

  • Mechanical Engineers
  • Aerospace Engineers
  • Civil Engineers
  • Chemical Engineers
  • Environmental Engineers
  • Researchers in Fluid Dynamics
  • Engineering Managers
  • Professionals in Automotive and Energy Sectors
  • Anyone seeking to advance their CFD knowledge and skills.

Course Outline:

Introduction to Fluid Dynamics and CFD

  • Basics of Fluid Dynamics
  • Introduction to Computational Fluid Dynamics (CFD)
  • CFD Applications Across Industries
  • CFD Workflow Overview
  • Hands-on: Setting Up CFD Software Environment
  • Best Practices in CFD Modeling

Governing Equations and Numerical Methods

  • Navier-Stokes Equations
  • Continuity Equation
  • Discretization Methods (Finite Difference, Finite Volume, Finite Element)
  • Numerical Stability and Convergence
  • Boundary Conditions in CFD
  • Practical Application of Discretization Schemes

Preprocessing and Geometry Modeling

  • CAD Geometry Import
  • Mesh Generation Techniques
  • Grid Quality and Optimization
  • Boundary Layer Meshing
  • Handling Complex Geometries
  • Troubleshooting Meshing Issues

Solving CFD Problems

  • CFD Solvers: Finite Volume Method
  • Turbulence Modeling (k-epsilon, SST, LES)
  • Heat Transfer and Combustion Modeling
  • Multiphase and Multiphysics Simulations
  • Solver Settings and Convergence Strategies
  • Hands-on: Running CFD Simulations

Post-processing and Visualization

  • Data Extraction from CFD Simulations
  • Visualization Techniques (Contour Plots, Streamlines, etc.)
  • Interpretation of CFD Results
  • Validation and Verification
  • Reporting and Documentation
  • Case Studies and Real-world Examples

Advanced Topics and Industry Applications

  • Aeroacoustics and Aeroelasticity
  • CFD for HVAC and Environmental Modeling
  • CFD in Automotive and Aerospace Design
  • CFD for Renewable Energy Systems
  • Optimization and Parametric Studies
  • Future Trends in CFD Technology

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