Introduction:

This 5-day training course on Computational Fluid Dynamics (CFD) is designed to provide engineers with an in-depth understanding of CFD principles, methods, and their applications across various industries. The course focuses on the numerical simulation of fluid flow, heat transfer, and related phenomena using CFD tools. Through hands-on experience with industry-standard CFD software (e.g., ANSYS Fluent, OpenFOAM, COMSOL), participants will learn to model and solve complex fluid dynamics problems. Emphasizing practical applications, optimization, and modern computational techniques, this course prepares participants to tackle real-world engineering challenges and make informed decisions based on CFD simulations.

Objectives:

By the end of the course, participants will:

1. Understand the fundamental principles of fluid dynamics and how CFD is used to simulate fluid flow.
2. Gain proficiency in using CFD software tools to model and solve fluid dynamics problems.
3. Learn to set up and solve complex fluid flow simulations, including turbulence, heat transfer, and multiphase flows.
4. Develop skills in post-processing CFD results to interpret and visualize flow phenomena.
5. Understand the role of meshing, boundary conditions, and numerical methods in CFD simulations.
6. Explore advanced CFD techniques, including turbulence modeling, optimization, and multiphase simulations.
7. Apply CFD for practical applications in industries such as aerospace, automotive, energy, and HVAC.
8. Gain insight into best practices for validating CFD simulations and ensuring their accuracy.

Who Should Attend?

This course is ideal for:

• Mechanical Engineers, Aerospace Engineers, and Chemical Engineers involved in fluid dynamics and heat transfer simulations.
• Design Engineers seeking to optimize fluid flow and thermal performance in products and systems.
• Simulation Engineers and Analysts using CFD to simulate and analyze fluid and heat transfer phenomena.
• R&D Engineers working on product development in industries like automotive, aerospace, energy, and manufacturing.
• HVAC Engineers working on airflow, heating, ventilation, and air-conditioning systems.
• Graduate Students and Ph.D. candidates in fluid dynamics, heat transfer, or related fields.
• Industry Professionals seeking to improve their CFD simulation skills for practical problem-solving.

Day 1: Introduction to Computational Fluid Dynamics (CFD)

• Module 1.1: Overview of CFD

  • What is CFD? Key concepts and applications in engineering.
  • Evolution of CFD and its role in modern engineering design and analysis.
  • The CFD Process: Preprocessing, solving, and postprocessing.

• Module 1.2: Fundamentals of Fluid Mechanics

  • Basic equations governing fluid flow: Continuity, Navier-Stokes, and Energy equations.
  • Laminar vs. Turbulent Flow.
  • Incompressible vs. compressible flow.
  • Boundary conditions and initial conditions in CFD.

• Module 1.3: Introduction to CFD Software

  • Overview of popular CFD software (e.g., ANSYS Fluent, OpenFOAM, COMSOL).
  • Setting up a basic CFD simulation in a software environment.
  • Introduction to mesh generation and quality metrics.

• Hands-On: Introduction to CFD software – Creating a basic simulation of fluid flow over a simple geometry.

Day 2: Meshing, Boundary Conditions, and Solvers

• Module 2.1: Mesh Generation and Quality

  • The importance of meshing in CFD.
  • Types of meshes: Structured vs. Unstructured meshes.
  • Mesh refinement and quality control (aspect ratio, skewness, etc.).
  • Mesh independence study and convergence testing.

• Module 2.2: Defining Boundary and Initial Conditions

  • Boundary conditions: Inlet, outlet, wall, symmetry, and periodic conditions.
  • Initial conditions and their impact on convergence.
  • Setting up physical models: Heat transfer, turbulence, and flow characteristics.

• Module 2.3: Solvers and Numerical Methods

  • Overview of numerical methods: Finite Volume Method (FVM), Finite Element Method (FEM).
  • Solvers: Pressure-based solvers vs. density-based solvers.
  • Time-stepping methods: Steady-state vs. transient simulations.
  • Convergence criteria and residuals.

• Hands-On: Creating a mesh, setting up boundary conditions, and solving a simple steady-state flow problem.

Day 3: Turbulence Modeling and Heat Transfer

• Module 3.1: Turbulence Models in CFD

  • Understanding turbulence and its effects on flow behavior.
  • Introduction to turbulence models: RANS, LES, and DNS.
  • Popular RANS models: k-ε, k-ω, and SST.
  • Model selection based on flow type and objectives.

• Module 3.2: Heat Transfer Simulations

  • Types of heat transfer: Conduction, convection, and radiation.
  • Modeling heat transfer in fluids: Conjugate heat transfer problems.
  • Boundary conditions for heat transfer simulations.

• Module 3.3: Advanced Turbulence and Heat Transfer

  • Coupled thermal-fluid simulations.
  • Modeling multiphase flows (boiling, condensation, cavitation).
  • Heat exchanger simulations.

• Hands-On: Setting up and solving a turbulence model and heat transfer problem in a fluid flow simulation.

Day 4: Advanced CFD Techniques

• Module 4.1: Multiphase Flow and Fluid-Structure Interaction (FSI)

  • Introduction to multiphase flow simulations (e.g., gas-liquid, solid-liquid, free-surface flow).
  • Techniques for simulating multiphase flows: Volume of Fluid (VOF), Eulerian-Eulerian, and Lagrangian methods.
  • Fluid-Structure Interaction (FSI) modeling for coupled simulations of fluid and solid interaction.

• Module 4.2: Optimization Techniques in CFD

  • Using CFD for design optimization.
  • Techniques: Shape optimization, topology optimization, and sensitivity analysis.
  • Optimizing flow performance and thermal efficiency in designs.

• Module 4.3: Validation and Verification of CFD Simulations

  • Importance of verification and validation in CFD.
  • Benchmarking CFD results against experimental data and analytical solutions.
  • Mesh independence and sensitivity studies.

• Hands-On: Solving a multiphase flow problem and performing optimization of a flow system using CFD.

Day 5: Real-World Applications and Case Studies

• Module 5.1: Case Study 1 – Aerospace

  • Simulating airflow over aircraft wings.
  • Aerodynamic drag and lift analysis.
  • Heat transfer in aircraft engine components.

• Module 5.2: Case Study 2 – Automotive

  • Simulating airflow around a car for drag reduction.
  • Engine cooling simulations.
  • Battery thermal management in electric vehicles.

• Module 5.3: Case Study 3 – Energy and HVAC

  • CFD in power generation systems (turbine design, combustion analysis).
  • HVAC system design and airflow optimization.
  • Solar energy system simulations.

• Module 5.4: Emerging Trends in CFD

  • CFD in Industry 4.0: Integration with IoT, machine learning, and AI.
  • Cloud-based CFD simulations and big data.
  • High-performance computing (HPC) in CFD.

• Hands-On: Working on real-world case study problems in CFD, including post-processing results and optimization.

Conclusion and Certification

• Recap of Key Concepts
• Q&A Session
• Certificate Distribution

Required Prerequisites:

• Basic understanding of fluid mechanics and thermodynamics.
• Familiarity with numerical methods and programming is helpful but not mandatory.
• Basic experience with CAD and simulation tools (preferably CFD software).