CFD Algorithms: ANSYS Fluent Different Capabilities

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  • Comprehensive analysis of different CFD algorithms using a variable-width channel case study (5cm inlet, 10cm outlet, 20cm length).
  • Pressure-based solvers (SIMPLE, SIMPLEC, PISO, Coupled) compared with density-based solvers (Roe, AUSM) for various flow conditions.
  • SIMPLE algorithm excels in low-speed flows, while Coupled solver shows superior performance across all speed regimes.
  • Density-based solvers (Roe, AUSM) perform best in high-speed and supersonic flows but struggle with low Mach numbers.
  • Under-relaxation factors significantly impact convergence stability and simulation accuracy.
  • Optimal solver selection depends on flow regime: low subsonic (SIMPLE/SIMPLEC), transonic/supersonic (Coupled/AUSM), hypersonic (Roe/AUSM).
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Description

Understanding CFD Algorithms: A Comprehensive Guide to ANSYS Fluent Capabilities

Introduction

A detailed analysis of different algorithms and discretization schemes in ANSYS Fluent, using a variable-width channel case study (5cm inlet to 10cm outlet, 20cm length).

Solver Types and Their Applications

Pressure-Based Solvers

1. SIMPLE Algorithm – Best for steady-state, incompressible flows – Memory efficient but slower convergence – Suitable for low-speed subsonic flows

  1. SIMPLEC Algorithm
  • Better convergence than SIMPLE
  • Higher under-relaxation factors possible
  • Ideal for steady-state incompressible flows
  1. PISO Algorithm
  • Excellent for transient problems
  • Good with skewed meshes
  • Requires more computational resources
  1. Coupled Solver
  • Fastest convergence rate
  • Suitable for all speed regimes
  • Higher memory requirements

Density-Based Solvers

1. Roe Scheme – Excellent for high-speed compressible flows – Good shock capturing capabilities – Not suitable for low-speed flows

  1. AUSM Method
  • Superior shock capturing
  • Ideal for supersonic flows
  • Computationally expensive

Flow Regime Recommendations

Based on Mach Number

– Low Subsonic (M<0.3): SIMPLE, SIMPLEC, PISO

– High Subsonic (0.3<m<0.8): AUSM, Roe, Coupled solver

Practical Implementation Tips

– Consider memory requirements and computational resources – Start with default under-relaxation factors – Ensure proper initialization – Monitor convergence carefully – Choose appropriate mesh quality for specific solvers

This guide helps CFD engineers select the most suitable algorithm for their specific simulation needs, ensuring optimal results and computational efficiency.

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