Turbulence Model Influence on Flow in the FDA Benchmark Model

 

Using Pointwise and the Caelus Python Library to easily execute parametric analyses

Computational fluid dynamics (CFD) can be used to influence decisions early in the design process. In order to assess the state-of-the-art of CFD and its predictive capability for medical devices, the U.S. Food and Drug Administration (FDA) developed two benchmark models for validation. Previous work explored hybrid and multi-block structured meshing strategies and their impact on steady-state solution accuracy for one of the benchmark cases, a centrifugal blood pump. In this case study, the focus was to extend the previous study by examining the influence of the turbulence model. The k-ω SST, standard k-ε, and realizable k-ε turbulence models were used. Results from all six pump test conditions were compared for each turbulence model.

Discover how to:

  • Run a parametric analysis using Caelus and the Caelus Python Library.
  • Write Caelus command line applications and usage.
  • Use meshing techniques to improve volume grid quality in regions between surfaces in close proximity.
 
Dr. Chris Sideroff

Dr. Chris Sideroff

Applied CCM

Dr. Chris Sideroff is the managing director at Applied CCM Inc, a company conducting research and development, providing technical support, and offering training for both open-source and commercial CFD software such as Caelus, OpenFOAM, and Pointwise. His current research interests are towards automation methods for mesh generation, more robust discretization and solver methodologies for complex, industrial-scale meshes, overset grid technologies, uncertainty quantification, and error estimation, and workflow automation with Python. He is an active contributor and one of the maintainers of the open-source libraries, Caelus and CPL.

 
Josh Dawson

Josh Dawson

Pointwise, Inc.

Joshua Dawson joined our Technical Sales Team in January of 2019. Prior to Pointwise, Mr. Dawson worked for two years as a Department of Defense Contractor with Applied Research Associates in simulating extreme thermal environments following high explosive detonations. Mr. Dawson earned a B.S. in Psychology from Texas A&M University in 2004. In 2015, Mr. Dawson earned an M.S. in Aerospace Engineering from the University of Texas at Arlington.

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