Learning Forum

[gestaoaerojampa]

Hi everyone! I’m part of an academic AeroDesign team, and we’re using Ansys for structural and aerodynamic simulations. I’d like to know what best practices you recommend to optimize time and resources in simulations without losing result quality. If you could share quick tips on setup or workflow, I’d really appreciate it!

[Nilay Pedram]

Hello,
For best practices for the aerodynamics simulation, you could follow the free courses on aerodynamics analysis and surrounding topics available on Ansys Innovation Space - Ansys Learning Library | Ansys Innovation Space

[Rahul]

 To optimize time and resources in Ansys Fluent simulations without compromising result quality, there are several best practices you can follow. These practices focus on efficient workflows, automation, and leveraging advanced computational resources.
Ansys Fluent's parallel capabilities for meshing and solving allow for the efficient handling of large, complex models, which can significantly accelerate the design cycle. Automation in Ansys Fluent can democratize simulation, increase workflow efficiency, and reduce time.

1. Establish Suitable Boundary Conditions
   Match boundary conditions to flow type and fluid properties for accurate results.

2. Choose appropriate Turbulence Models
   Opt for the simplest model that fits your case; consider low-Re models when needed.

3. Track Convergence
   Track convergence closely; adjust solvers or boundary conditions if needed.

4. Use of Parallel Processing capabilities
   Utilize multiple processors or distributed systems to speed up simulations.

5. Adjust Time-Step Size for Optimal Performance
   Balance accuracy and speed by choosing an appropriate time-step size.

6. Modify Solver Configurations
   Experiment with solver parameters to find the best performance-accuracy tradeoff.

7. Choose the correct Solver
   Select the solver best suited to your simulation type for optimal speed and accuracy.
8. Ensure Adequate Hardware
   Use a system with sufficient CPU and memory; consider HPC for large simulations.