About this Webinar

In engineering, there is rarely an optimal design. Engineers constantly make trade-offs between size, performance, and reliability. Simulation makes informed decisions early in the design cycle.

In this episode, we start with a CFD simulation model in Ansys Fluent involving multiple design parameters, and we focus on a multi-objective optimization problem. Instead of manually tuning parameters and running tedious iterations in trial-and-error mode, we'll show how to use optiSLang parametric workflow directly from Fluent to automate and streamline the optimization process.

What You Will Learn

• How to explore the design space with advanced sensitivity analysis and reporting capabilities
• How to make the most use of the simulation experiment design as the building block to
  • Optimize with a minimal learning curve
  • Create a reduced-order model (ROM), metamodel, or FMU to be used alone or within a system model and promoted to a digital twin
  • Accelerate innovation by minimizing non-value-added and repetitive tasks and fully automating the CFD simulation workflows

Who Should Attend

CAE/CFD Simulation Engineers & Analysts in all industries + Academia

Speakers

Jacques Depont, Senior Application Engineer at Ansys