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UDF: All Levels — Ep 01

Prandtl-K Macro UDF, Prandtl number CFD Simulation

Episode
01
Run Time
16m 30s
Published
Nov 11, 2024
Topic
UDF
Course Progress
0%
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About This Episode

Prandtl-K Macro: Advanced UDF for Turbulence Modeling in ANSYS Fluent

Welcome to the eighth chapter of our comprehensive User-Defined Function (UDF) Training Course. This module focuses on implementing the Prandtl_K Macro to enhance turbulence modeling in CFD simulations using ANSYS Fluent.

Project Overview: Turbulent Flow Simulation with Obstacles

In this advanced CFD simulation, we model fluid flow through a channel with obstacles, inducing turbulence. This project demonstrates the power of User-Defined Functions in customizing turbulence models for more accurate flow predictions.

Key Simulation Components

  • 2D geometry modeling using Design Modeler
  • Unstructured meshing with 97,972 cells via ANSYS Meshing
  • CFD simulation using ANSYS Fluent with custom UDF implementation for Prandtl number calculation

Methodology: Implementing Prandtl_K Macro in UDF

Our approach leverages ANSYS Fluent’s UDF capabilities to modify the standard k-epsilon turbulence model. The core of this simulation lies in the custom implementation of Prandtl number calculations for turbulence kinetic energy and dissipation rate equations.

Turbulence Modeling Techniques

  • Custom Prandtl number calculation based on RNG turbulence model
  • Implementation of DEFINE_PRANDTL macro for advanced turbulence modeling
  • Integration of custom Prandtl numbers into standard k-epsilon model

UDF Implementation and Simulation Process

The User-Defined Function plays a crucial role in enhancing the turbulence model’s accuracy. We’ll guide you through the process of writing and integrating the UDF into your ANSYS Fluent simulation.

Step-by-Step UDF Integration

  1. Writing the custom Prandtl number functions for TKE and TDR
  2. Implementing the DEFINE_PRANDTL macro
  3. Compiling and loading the UDF into ANSYS Fluent
  4. Setting up the turbulence model with the custom Prandtl number functions

Results Analysis and Comparative Study

After running the simulations, we conduct a thorough analysis to evaluate the effectiveness of our custom UDF in improving turbulence modeling.

Performance Metrics and Visualization

  • Comparative bar graphs of key parameters (with and without UDF)
  • Turbulence variable contours
  • Velocity and pressure distribution comparisons

Advanced Insights: Enhancing Turbulence Modeling in CFD

This simulation provides valuable insights into the impact of customized Prandtl number calculations on turbulence modeling, with applications ranging from aerospace engineering to industrial fluid dynamics.

Applications and Benefits of Custom Turbulence Modeling

  • Enhanced accuracy in predicting complex turbulent flows
  • Improved simulation fidelity for flows with obstacles
  • Ability to adapt turbulence models to specific flow conditions

Future Directions and Research Opportunities

The techniques learned in this module open up numerous possibilities for advanced CFD research and industrial applications. Consider exploring:

  • Integration of custom Prandtl numbers in other turbulence models
  • Development of adaptive turbulence modeling based on local flow characteristics
  • Application to multiphase flows and heat transfer problems

By mastering the Prandtl_K Macro and UDF implementation in ANSYS Fluent, you’re equipped to tackle complex turbulent flow problems with unprecedented control over turbulence modeling parameters. This knowledge is invaluable for CFD professionals looking to simulate and optimize systems involving turbulent flows across various engineering disciplines, from automotive aerodynamics to environmental fluid dynamics.

Download Geometry and Mesh
Download UDF