Many reacting flows, including polymerization, are commonly encountered in various processes and applications in the chemical and process industries. The yield and conversion in this equipment are influenced by flow patterns in the apparatus, mixing, and residence time distribution.
Join this webinar as we discuss accurate modeling of complex chemical processes with simulation and how the required model parameters and material properties can be provided by Simcenter Culgi.
CFD (Computational Fluid Dynamics) simulations allow detailed analysis, understanding and optimization of such processes but require an adequate description of the changing material behavior and reaction kinetics. This data is typically challenging and therefore expensive to determine experimentally. That is even more critical when different formulations must be screened. With coarse-grain computational chemistry, such parameters can be determined quickly and cost-effectively.
A free radical polymerization model is included in STAR-CCM+ based on the method of moments. A simplified polymerization approach will also be covered that focuses on reactive groups and step-growth polymerization. This allows for a polymerization framework or custom models to simulate polymerization reaction together with fluid flow and thermal in Simcenter STAR-CCM+.
In this webinar, we introduce the combination of reactive flow modeling capabilities (Simcenter STAR-CCM+) and computational chemistry (Simcenter Culgi) for the chemical & process industry, which includes:
Finally, we will cover the benefits of redefining CAE simulation to achieve operational excellence. Register to attend this live webinar and learn how Simcenter Culgi can be used to determine material properties like viscosity and how, for example, the computational rheometer can be coupled with Simcenter STAR-CCM+.
Thomas Eppinger is an application specialist for the chemical and process industries in the Software and Test Solution (STS) sub-segment of Siemens Digital Industry Software. In this role, he is responsible for expanding the use of CFD into new application areas, along with bridging the gap between software development and Simcenter STAR-CCM+ users. Thomas graduated from chemical and process engineering at TU Berlin and has more than 15 years of experience in the field of numerical simulation.
Panos Petris is a physical chemist by training and background. He is an application engineer at Siemens, working on chemical, material and life science industrial projects using molecular modeling and AI. He is also finalizing his PhD on modeling organic bioelectronic devices.