
About this Event
Stirred tank reactors are central to many pharmaceutical, chemical, and biopharmaceutical processes, where effective mixing is critical to ensuring product quality, process consistency, and successful scale-up. Join Kringan Saha for an inside look at the Ansys Mixing template and how it helps engineers simplify and accelerate CFD simulations for real-world bioprocess applications. This session will demonstrate how a guided, template-driven workflow makes it easier to define tank geometry, configure impellers and baffles, and quickly set up simulations that accurately reflect manufacturing equipment. Attendees will learn how this approach enables faster iteration and more consistent studies across scales, from lab to production, while also highlighting key outputs that support evaluation of mixing performance and informed decision-making during process development, scale-up, and optimization. Whether you are new to CFD or aiming to improve efficiency in your existing workflows, this webinar offers a practical overview of how the Ansys Mixing template can help you generate results faster and optimize stirred tank performance.
What you will learn
- Attendees will leave with a clear picture of where template-driven CFD fits in a modern mixing workflow: accelerating setup, supporting consistent analysis, and helping teams move from “running CFD” to “using CFD” for mixing decisions.
- Accelerate simulations and scale-up studies: Discover how the template enables faster iteration and consistent analysis across scales, from lab to production, reducing setup time and improving efficiency.
- Interpret results to optimize performance: Gain insight into key simulation outputs that help evaluate mixing effectiveness and support better decisions during process development, scale-up, and optimization.
Speakers
Kringan Saha - Applications Engineering, Sr Staff Engineer, Synopsys
Date / Time:
July 2nd, 2026
11:00 AM EDT / 4:00 PM GMT / 5:00 PM CEST
Venue: Virtual
- Cost:
No reviews available for this learning resource.



