Computational Fluid Dynamics for Industrial Processes

Program Overview

This 5-day program introduces participants to computational flow modeling, focusing on single and multi-phase flows. It combines theoretical understanding with practical application through lectures, hands-on CFD sessions, and case studies. Graduates are prepared for careers in industries that rely on fluid mechanics and computational modeling for design, optimization, and process improvement.

Program Outline

Degree Overview:

Outline:

Specific Modules:

Core content:

• Introduction to CFD and thermo-fluids
• Introduction to the physics of thermo-fluids
• Governing equations (continuity, momentum, energy and species conservation)
• State-of-the-art Computational Fluid Dynamics
• Modelling
• Grid generation
• Simulation
• High-performance computing
• Case study of an industrial problem and the physical processes that CFD can be used to analyze

Computational Engineering Exercise:

• Specification for a CFD simulation
• Requirements for accurate analysis and validation for multi-scale problems
• Introduction to turbulence & practical applications of Turbulence Models
• Introduction to turbulence and turbulent flows, traditional turbulence modelling

Advanced Turbulence Modelling:

• Reynolds-averaged Navier Stokes equations (RANS) simulations
• Large Eddy Simulation (LES)

Practical Sessions:

• Solving a fluid process problem using FLUENT, a widely-used industrial flow solver
• Practical sessions following lectures, incrementally setting up and simulating problems
• Covering the entire CFD process, including:
• Geometric modelling
• Grid generation
• Flow solver settings
• Analysis
• Visualization
• Validation

Assessment:

• Practical assignments involving CFD application to real-world scenarios will be completed.

• Participation in interactive discussions and collaborative activities will be assessed.

• A formal written exam or coursework may be utilized to evaluate conceptual comprehension.

Teaching:

Teaching methods include:

• Interactive lectures: Experts deliver presentations covering theoretical constructs, real-world examples, and case studies.
• Hands-on workshops and tutorials: Participants engage in practical exercises to solidify theoretical understanding.
• Group discussions and problem-solving: Collaborative learning fosters deeper comprehension and application of CFD principles.
• Faculty expertise: Renowned researchers and industry experts lead the program, providing invaluable insights and guidance.

Careers:

Potential sectors include:

• Aerospace
• Automotive
• Chemical engineering
• Electronics cooling
• Environmental engineering
• Food processing
• Pharmaceutical production
• Power generation
• Turbomachinery design

Other:

Additional details:

• The course duration is five days.
• The course fee is £1700, not including accommodation.
• Accommodation is available at Mitchell Hall or Cranfield Management Development Centre (book directly).
• 10% discounts apply for booking eight weeks in advance or for third or subsequent delegates from the same company/site.
• Discounts are combinable.

Note:

This program does not provide details regarding fees, admission requirements, or application processes.