SAE Technical Paper Series 2019
DOI: 10.4271/2019-01-1490
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Surge Prediction in a Single Sequential Turbocharger (SST) Compressor Using Computational Fluid Dynamics

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“…Additionally, these kinds of simulations are very computationally expensive and, thus, are not options in an industrial environment. A second category of approaches uses steady-state simulation data and tries to link a physical parameter to the existence of surge, indicated by experiments which have also been conducted [15,16]. Some examples are the temperature at the leading edge (indicator for recirculation flow), the entropy production in the compressor wheel tip region (indicator for the tip gap vortex) or the velocity (indicator for flow reversal), which have been selected as physical parameters for surge detection.…”
Section: Numerical Modeling and The Challenge With The Surge Limitmentioning
confidence: 99%
“…Additionally, these kinds of simulations are very computationally expensive and, thus, are not options in an industrial environment. A second category of approaches uses steady-state simulation data and tries to link a physical parameter to the existence of surge, indicated by experiments which have also been conducted [15,16]. Some examples are the temperature at the leading edge (indicator for recirculation flow), the entropy production in the compressor wheel tip region (indicator for the tip gap vortex) or the velocity (indicator for flow reversal), which have been selected as physical parameters for surge detection.…”
Section: Numerical Modeling and The Challenge With The Surge Limitmentioning
confidence: 99%