CFD: All Levels

CFD: All Levels

12
7h 47s
  1. Section 1

    Introduction

  2. Section 2

    Finite Volume Method (FVM)

  3. Section 3

    Solver Types and Pressure-Velocity Coupling Methods

  4. Section 4

    Density-Based Solvers and Numerical Schemes

  5. Section 5

    Discretization Methods

  6. Section 6

    Cavity Flow

  7. Section 7

    Algorithms

  8. Section 8

    Foundations of Computational Fluid Dynamics

  9. Section 9

    Poiseuille Flow

  10. Section 10

    Airfoil

  11. Section 11

    Pipe Flow

  12. Section 12

    Compressible Flow

MR CFD
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CFD: All Levels — Ep 01

Algorithm Selection Guide for CFD Simulations in ANSYS Fluent

Episode
01
Run Time
27m 48s
Published
Feb 03, 2025
Topic
CFD
Course Progress
0%
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About This Episode
  1. Core Solver Categories

A. Pressure-Based Solvers

  1. SIMPLE Algorithm
  • Steady-state applications
  • Memory efficiency
  • Low-speed flow optimization
  1. SIMPLEC Algorithm
  • Enhanced convergence
  • Higher relaxation factors
  • Steady-state focus
  1. PISO Algorithm
  • Transient simulation specialty
  • Mesh quality tolerance
  • Resource requirements
  1. Coupled Solver
  • Universal speed application
  • Rapid convergence
  • Memory considerations

B. Density-Based Solvers

  1. Roe Scheme
  • High-speed flow specialty
  • Shock wave handling
  • Speed range limitations
  1. AUSM Method
  • Enhanced shock capture
  • Supersonic flow focus
  • Computational demands
  1. Application Guidelines

A. Mach Number Based Selection

  • Low subsonic (M<0.3)

    • SIMPLE
    • SIMPLEC
    • PISO
  • High subsonic (0.3<M<0.8)

    • AUSM
    • Roe
    • Coupled solver
  1. Implementation Best Practices

A. Resource Management

  • Memory requirements
  • Computational capacity
  • Initialization procedures

B. Performance Optimization

  • Relaxation factor tuning
  • Convergence monitoring
  • Mesh quality considerations

This guide provides systematic approach for selecting appropriate CFD algorithms based on specific simulation requirements and available computational resources.