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How to Leverage AI/ML to add Value to Physics-Based Simulation in the Chemical Process Sector

Join this webinar to explore how Ansys AI/ML tools can enhance a variety of applications, including mixers and heat exchangers.

Date:
Monday, March 10, 2025

Time:
15:00 GMT | 16:00 CET | 11:00 EDT

Venue:
Online

Questions
Should you have any questions please contact uk-marketing@ansys.com

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About this webinar

Computational Fluid Dynamics (CFD) and particle dynamics Discrete Element Method (DEM) simulation is well-established in the chemical process sector, providing enhanced insights into process flow and particle-handling scenarios, beyond what 0D/1D simulations can offer. What’s truly innovative is the emergence of AI/ML software that harvests simulation data and establishes mathematical algorithms that deliver rapid predictions on new configurations and operating conditions without further Computer-Aided Engineering (CAE) simulations.

Join this webinar to explore how Ansys AI/ML tools can rapidly enhance various applications, including mixers and heat exchangers.

 

What you will learn

  • AI/ML best practices to extract additional value from 3D physics-based simulation results with Ansys optiSLang and Ansys SimAI for rapid innovation and higher accuracy
  • How implementing a simulation data management strategy through the deployment of Ansys Minerva can enhance results further

 

Who should attend

  • Current users of CFD and particle dynamics DEM software of any commercial or open-source software who are interested in the potential of AI/ML for chemical process applications

 

Speakers

  • Hossam Metwally, Senior Principal Application Engineer, Ansys
  • Mustafa Kaddoura, Senior Application Engineer, Ansys
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Join this webinar