Pressure Drop Characteristics of Tesla Valve in Fully Turbulent Flow

Abstract This study investigated the pressure drop characteristics and determined the fully turbulent flow regime of the Tesla valve in the Reynolds number (Re) range of 10,000 to 150,000. A combined approach involving hydraulic resistance experiments and computational fluid dynamics (CFD) simulations was employed, with numerical models validated against experimental data. Three geometric parameters—diverging angle (θdiv), converging angle (θconv), and relative radius (R/Dh)—were analyzed for their effects on flow loss. Velocity distributions, turbulent kinetic energy, and pressure fields were assessed near diverging and merging points. Two turbulent flow regimes were identified, with the realizable k–ε model providing the best alignment with experimental results at high Re. A dimensionless correlation for the loss coefficient (KL) was derived using nonlinear regression across 375 CFD cases. Among the design parameters, θconv had the strongest influence on KL, while R/Dh exhibited minimal impact. The proposed model achieved a high coefficient of determination (R2 = 0.9785). These findings offer valuable insight into pressure drop prediction in Tesla valves under high-speed, high-pressure conditions, serving as design guidelines for future applications.

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Publication Details

Journal
Journal of Fluids Engineering
Published
2025-11-29
DOI
https://doi.org/10.1115/1.4070538
Primary Topic
Hydraulic and Pneumatic Systems
Type
article
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article

Pressure Drop Characteristics of Tesla Valve in Fully Turbulent Flow

Sang‐Yeol Kim, Heesoo Park
Journal of Fluids Engineering
Hydraulic and Pneumatic Systems
article

Pressure Drop Characteristics of Tesla Valve in Fully Turbulent Flow

Sang‐Yeol Kim, Heesoo Park
article en

Abstract

Abstract This study investigated the pressure drop characteristics and determined the fully turbulent flow regime of the Tesla valve in the Reynolds number (Re) range of 10,000 to 150,000. A combined approach involving hydraulic resistance experiments and computational fluid dynamics (CFD) simulations was employed, with numerical models validated against experimental data. Three geometric parameters—diverging angle (θdiv), converging angle (θconv), and relative radius (R/Dh)—were analyzed for their effects on flow loss. Velocity distributions, turbulent kinetic energy, and pressure fields were assessed near diverging and merging points. Two turbulent flow regimes were identified, with the realizable k–ε model providing the best alignment with experimental results at high Re. A dimensionless correlation for the loss coefficient (KL) was derived using nonlinear regression across 375 CFD cases. Among the design parameters, θconv had the strongest influence on KL, while R/Dh exhibited minimal impact. The proposed model achieved a high coefficient of determination (R2 = 0.9785). These findings offer valuable insight into pressure drop prediction in Tesla valves under high-speed, high-pressure conditions, serving as design guidelines for future applications.

Journal of Fluids EngineeringVol. 148(3)
Inha University (KR)
Openalex Percentile: Top 61%
Hydraulic and Pneumatic Systems
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