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Siemens’ Neel Natekar proposes a different approach to ESD verification, in Context-Aware SPICE Simulation Improves The Fidelity Of ESD Analysis. BlogsĪrm’s Panch Chandrasekaran examines what will drive 5G adoption, in What Will Be The Killer App For 5G? Time To Place Your Bets.įraunhofer’s Dirk Mayer and Ulf Wetzker look at where to get enough data to train useful AI models for industrial processes, in Enhancing Datasets For Artificial Intelligence Through Model-Based Methods. However, they’re still useful for some jobs. Spreadsheets: Still Valuable, But More LimitedĬhip design complexity is overwhelming them, and they are prone to errors. Research shows significant improvement in time to market and optimization of key metrics. Why Data Center Power Will Never Come DownĮfficiency is improving significantly, but the amount of data is growing faster. © 2020 International Center for Artificial Organs and Transplantation and Wiley Periodicals, Inc.Managing heat through computational fluid dynamics is becoming more common and more complicated. This detailed computational framework with improved modeling techniques and an extensive validation procedure will be used in future CFD studies of centrifugal blood pumps to aid in device design and predictions of their biological responses.įood and Drug Administration centrifugal blood pump computational fluid dynamics hemolysis validation. These results suggest that the importance of accounting for blood's viscoelasticity may be dependent on the specific blood pump operating conditions. Small differences were observed between the Newtonian and viscoelastic blood models in pressure head and hemolysis at the higher flow rate cases (FDA Conditions 4 and 5) but were more significant at lower flow rate and pump impeller speeds (FDA Condition 1). While CFD radial velocity profiles between the impeller blades also compared well to the PIV velocity results, more work is still needed to address the large variability among both experimental and computational predictions of velocity in the diffuser outlet jet.
The CFD simulations were able to match the FDA pressure and hemolysis data for multiple pump operating conditions, with the CFD results being within the standard deviations of the experimental results. The established computational framework, including a dynamic rotating mesh, animal blood-specific fluid properties and hemolysis modeling, and a k-ω SST turbulence model, was shown to more accurately predict pump pressure heads, velocity fields, and hemolysis compared to previously published CFD studies of the FDA centrifugal pump. A viscoelastic blood model was then incorporated into the CFD solver to investigate the importance of modeling blood's viscoelasticity in centrifugal pumps. A Newtonian blood model was first used to compare to the PIV data with a blood analog fluid while hemolysis data were compared using a power-law hemolysis model fit to porcine blood data. Therefore, the Food and Drug Administration (FDA) benchmark centrifugal blood pump and its database of experimental PIV and hemolysis data were used to thoroughly validate CFD simulations of the same blood pump. They must also account for and accurately model the specific working fluid in the pump, whether that is a blood-analog solution to match an experimental PIV study or animal blood in a hemolysis experiment. In order to simulate hemodynamics within centrifugal blood pumps and to predict pump hemolysis, CFD simulations must be thoroughly validated against experimental data.
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