CPFD to Speak at LARTC 2019
CPFD Software has been invited to speak at the 2019 Latin America Refining Technology Conference (LARTC), to be held from 1-4 October, 2019 at the Intercontinental Cartagena de Indias, Cartagena, Colombia.
CPFD Software has been invited to speak at the 2019 Latin America Refining Technology Conference (LARTC), to be held from 1-4 October, 2019 at the Intercontinental Cartagena de Indias, Cartagena, Colombia.
CPFD Software is pleased to support the upcoming PSRI Fluidization Seminar and Workshop September 16-19, 2019 in Chicago, IL. The purpose of the PSRI Fluidization Seminar is to supply instruction on the theory, design and…
Barracuda Virtual Reactor version 17.4.1 is a maintenance release containing the fixes for the following known issues found in previous versions. KI-126: CUDA errors when running on V100 GPU and…
Thank you again to all who made our Barracuda Virtual Reactor Users’ Conference a huge success! On this page you will find the PDFs of several of the presentations from the conference…
This presentation by Adlan Omer presents a case study from a European cement using a semi-dry system. Issues regard intermittent pumping and coatings/blockages. Barracuda Virtual Reactor identified and solved this.
About This Presentation Presented by: Dr. Kuochen Tsai – Shell International Exploration and Production In this video Dr. Kuochen Tsai, from Shell International Exploration and Production, presents a case…
CPFD Software is pleased to announce a new partnership with Tecplot. After July 1, new releases of Barracuda Virtual Reactor will include a complimentary limited Tecplot license called Tecplot for Barracuda, giving users access to Tecplot 360’s powerful CFD visualization and analysis tools.
This presentation by Ray Cocco discusses PSRI’s objectives and how CPFD’s Barracuda Virtual Reactor has played an important role in accomplishing their goals.
This presentation by Ravi Chandran discusses selected results from studies that model steam reformers and validate the resulting Barracuda Virtual Reactor simulations.
This presentation by Dirk Van Essendelft discusses NETL’s development of a stabilized, explicit solver that is accelerated with Machine Learning (ML).