Overview
This session will present recent innovations in fluid mixing simulation, emphasizing performance, usability, and intelligent automation. It will begin with a look at the foundational GPU-accelerated computing architecture that enables efficient simulation of single-phase and multiphase flows, multi-species interactions, and a broad range of turbulence models, from laminar to RANS and LES. The presentation will also introduce a new guided workflow application purpose built to simplify and accelerate complex mixing studies. To conclude, we will showcase how artificial intelligence and machine learning are being applied to enhance simulation outcomes—through use cases involving design optimization, data-driven surrogate modeling, and practical applications of Ansys SimAI in fluid mixing environments.
What you will learn
How to leverage GPU-accelerated solvers for simulating complex fluid mixing scenarios, including multiphase and multi-species flows with advanced turbulence modeling
How to streamline simulation workflows using a purpose-built, guided mixing application that simplifies setup, analysis, and results interpretation
How AI and machine learning enhance simulation value, with real-world case studies demonstrating optimization, surrogate modeling, and the application of Ansys SimAI
Speakers
Hossam Metwally - Senior Principal Application Engineer at Ansys
Samuel Talvy - Senior Application Engineer at Ansys
