Introduction

Computational Fluid Dynamics (CFD) Training Course is designed to equip learners with advanced skills in fluid flow simulation, heat transfer analysis, turbulence modeling, and multiphase flow prediction using industry-standard numerical methods. This course bridges the gap between theoretical fluid mechanics and real-world engineering applications across aerospace, automotive, energy, HVAC, marine, and manufacturing industries. With growing adoption of AI-driven simulation, digital twin technology, and high-performance computing (HPC), CFD expertise has become a critical skill for modern engineers and researchers.

This training focuses on mastering CFD software tools, meshing techniques, solver setup, boundary conditions, post-processing, and validation techniques. Participants gain hands-on experience solving complex engineering problems involving aerodynamics, combustion, thermal systems, and fluid-structure interaction (FSI). The course emphasizes industry-relevant projects, enabling learners to develop simulation-driven design capabilities that improve efficiency, reduce prototyping costs, and enhance product performance.

Programme Curriculum

Computational Fluid Dynamics (CFD) Training Course

Introduction

Course Duration

5 days

Course Objectives

Master fundamentals of fluid mechanics and Navier–Stokes equations
Develop expertise in CFD preprocessing and geometry cleanup
Apply advanced mesh generation techniques
Understand turbulence modeling
Perform accurate heat transfer and thermal analysis simulations
Simulate compressible and incompressible flow systems
Implement boundary conditions and solver settings optimization
Gain proficiency in ANSYS Fluent / OpenFOAM workflows
Conduct multiphase flow and cavitation analysis
Apply aerodynamic optimization for automotive & aerospace systems
Perform CFD validation and experimental correlation
Integrate AI-assisted CFD and parametric design optimization
Build capability in industrial-scale digital twin simulation models

Target Audience

Mechanical Engineering Students
Aerospace Engineering Professionals
Automotive Design Engineers
HVAC and Thermal System Engineers
Energy and Power Plant Engineers
Research Scholars in Fluid Dynamics
Manufacturing Process Engineers
Simulation & CAE Analysts

Course Modules

Module 1: Fundamentals of CFD & Governing Equations

Introduction to fluid mechanics principles
Continuity, momentum, and energy equations
Navier–Stokes formulation
Dimensional analysis and similarity laws
Introduction to discretization methods
Case Study: Flow analysis over an aircraft wing section for lift and drag estimation.

Module 2: Preprocessing & Geometry Preparation

CAD model cleaning and simplification
Domain definition for CFD simulation
Geometry defeaturing techniques
Meshing requirements and best practices
Software preprocessing tools overview
Case Study: Car body geometry preparation for aerodynamic drag reduction study.

Module 3: Meshing Techniques & Grid Generation

Structured vs unstructured meshing
Boundary layer mesh creation
Mesh independence study
Grid quality metrics
Adaptive mesh refinement techniques
Case Study: Mesh optimization for wind turbine blade efficiency improvement.

Module 4: Turbulence Modeling

Laminar vs turbulent flow modeling
RANS models
LES and DNS overview
Wall function treatment
Model selection criteria
Case Study: Turbulent airflow simulation in HVAC duct system.

Module 5: Heat Transfer & Thermal CFD

Conduction, convection, and radiation
Conjugate heat transfer (CHT)
Thermal boundary conditions
Cooling system simulations
Heat exchanger modeling
Case Study: Thermal performance analysis of an electronic heat sink system.

Module 6: Multiphase Flow & Reactive Systems

Volume of Fluid (VOF) method
Eulerian and Lagrangian models
Cavitation modeling
Combustion and reaction modeling
Phase interaction dynamics
Case Study: Fuel injection and combustion simulation in internal combustion engine.

Module 7: Advanced CFD Applications

Aerodynamics optimization
Fluid-structure interaction (FSI)
Rotating machinery simulation
Porous media flow
Industrial process simulation
Case Study: Performance enhancement of centrifugal pump using CFD analysis.

Module 8: Post-Processing, Validation & AI Integration

Result visualization techniques
Pressure, velocity, and turbulence plots
Experimental validation methods
Error analysis and uncertainty quantification
AI-driven CFD optimization workflows
Case Study: Digital twin modeling of wind tunnel testing data for aerospace component.

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Flow modeling Turbulence analysis Heat transfer simulation Process optimization

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 26 2026

26 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $1,000