Optimization of inverse-Prandtl of Dissipation in standard k-ε Turbulence Model for Predicting Flow Field of Crossflow Turbine

Keyphrases

• Cross-flow Turbine 100%
• Flow Field 100%
• Turbulence Model 100%
• Prandtl 100%
• Recirculating Flow 100%
• Turbulence Properties 66%
• CFD Simulation 66%
• Model Performance 66%
• Parameter Values 33%
• Turbulent Flow 33%
• Linear Regression Method 33%
• Flow Properties 33%
• Still Face 33%
• Diffusivity 33%
• Dissipation Rate 33%
• Multivariate Linear Regression 33%
• Rotating Flows 33%
• Boundary Layer 33%
• Pressure Field 33%
• Model Reliability 33%
• Model Applicability 33%
• Unconfined Flow 33%
• Curved Boundary 33%
• Turbulent Prandtl number 33%
• Velocity Field 33%
• Cross-flow Water Turbine 33%

Engineering

• Computational Fluid Dynamics 100%
• Turbine 100%
• Flow Distribution 100%
• Experimental Result 50%
• Turbulent Flow 50%
• Applicability 50%
• Prandtl Number 50%
• Flow Property 50%
• Dissipation Rate 50%
• Diffusivity 50%
• Rotating Flow 50%
• Boundary Layer 50%
• Water Turbine 50%
• Velocity Field 50%
• Pressure Distribution 50%

Chemical Engineering

• Prandtl Number 100%