Barracuda VR 15.2.2 release
Barracuda VR 15.2.2 for both Linux 64-bit and Windows 7 64-bit has been released. Barracuda VR 15.2.2 is a maintenance release with corrections and bug fixes. Please see the attached…
Barracuda VR 15.2.2 for both Linux 64-bit and Windows 7 64-bit has been released. Barracuda VR 15.2.2 is a maintenance release with corrections and bug fixes. Please see the attached…
Barracuda VR 15.2.1 is the official release supporting both Linux and Windows 7 64-bit operating systems. For more information, refer to the Barracuda VR 15.2.1 release announcement. Update – August…
This presentation by Ray Fletcher provides an overview of both stable and unstable forms of afterburn, and shows how the Barracuda Virtual Reactor is used to troubleshoot afterburn issues in FCC regenerators.
Update – April 24, 2018 This version of Barracuda Virtual Reactor is no longer available for download. For the latest version of Virtual Reactor™, please visit the Dashboard. If you still…
Tony Jones CPFD Software, LLC Tony Jones presents where Barracuda VR software is today and what’s next. Tony Jones CPFD Software, LLC Tony Jones presents where Barracuda VR…
Kevin Colburn, Sr. Application Engineer CEI This is part two of a two-part presentation with the overall goal of exploring how to extract key data from Barracuda Virtual Reactor simulation…
James Parker, Ph.D. CPFD Software, LLC Dr. Parker presents ideas, strategies, and tips for using Barracuda VR to model fluidized systems more effectively.
This presentation by Ray Cocco discusses validation with relevant experimental data as an important and necessary process with any modeling effort for applications with scale up.
Sam Clark CPFD Software, LLC Review advanced post-processing techniques such as using 2D plot data, using Particle Select in GMV, and working with BATCHMOVIE.sh in this presentation.
This presentation by Peter J. O’Rourke discusses the history of the MP-PIC method which is traced from its origins in spray modeling to recent modifications that include sub-models for important particle-particle effects. MP-PIC is compared with other methodologies for simulating dense particulate two-phase flows.