The evaluation of numerical methods for determining the efficiency of Tesla turbine operation

Rusin, Krzysztof; Wróblewski, Włodzimierz; Rulik, Sebastian

doi:10.1007/s12206-018-1118-4

Cited by 12 publications

(7 citation statements)

References 23 publications

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“…Research has shown that Tesla turbines applied to small-scale Rankine systems can achieve isentropic efficiencies greater than 75%. The model is confirmed to give results in agreement with numerical simulations of real turbines [9], and further improvements of this model are presented in [10][11], where the flow is treated as turbulent and compressible considering the radial pressure gradient. The model agrees well with the experimental data in the low and medium ranges of rotational speed but differs at high speeds.…”

Section: Introductionsupporting

confidence: 65%

CFD Simulation of Tesla Turbines Performance Driven by Flue Gas of Internal Combustion Engine

Kashogi

Sofyan

Thaib

et al. 2022

ARAM

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The reduced production of fossil energy, especially petroleum, has encouraged researchers to continuously increase the role of new and renewable energy as part of energy security and independence. A Tesla turbine is a device that can be used to recover wasted energy from exhaust gases, thereby increasing the overall energy use. The purpose of this study was to assess the performance of a Tesla turbine using various parameters such as engine speed, the gap between the disks, the diameter of the disks, and the number of disks. In this study, the performance of a Tesla turbine was simulated using computational fluid dynamics (CFD). The reference dimensions of this Tesla turbine are made with a slit diameter of 44 mm, a hole diameter of 10 mm, disc diameter of 140 mm, a disc width of 1.5 mm, a disc gap of 35 mm, a disc gap width of 4 mm, and a shaft length of 50 mm. The results of this study were in the form of torque and pressure drop values. In the variation of engine speed, the highest torque was at 1800 rpm with a torque value of 0.422 Nm, and the highest pressure drop was at 1800 rpm with a pressure drop value of 79161.5 Pa. In the disk gap variation, the highest torque is at a 7 mm disk gap with a torque value of 0.54 Nm and the highest pressure drop is at a 4 mm disk gap with a pressure drop value of 79161.5 Pa. In the variation of disk diameter, the highest torque was found on the disk with a diameter of 180 mm and a torque value of 0.831 Nm, and the highest pressure drop was on a disk with a diameter of 180 mm and a pressure drop value of 86753.5 Pa. In the variation of the number of disks, the highest torque was found at eight disks with a torque value of 0.765 Nm, and the highest pressure drop was found at eight disks with a pressure drop value of 82031.3 Pa. After performing this simulation, it can be concluded that at variations in engine speed, the higher the engine speed, the higher the value obtained and the variations in the disk gap, disk diameter, and number of disks. There are several values of torque that increase and decrease because the input value given cannot always increase the torque value in these variations.

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Section: Introductionsupporting

confidence: 65%

CFD Simulation of Tesla Turbines Performance Driven by Flue Gas of Internal Combustion Engine

Kashogi

Sofyan

Thaib

et al. 2022

ARAM

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“…Simulations are done for the same three gap sizes. The rotational speed of 17,500 rev/min was assumed, which is in the range of optimal values of the Tesla turbine studied by Rusin et al (2018). Both smooth and rough surfaces are considered, and the roughness equal to 3.5% of the gap size was assumed as in the previous cases.…”

Section: Gap Sizes Studymentioning

confidence: 99%

“…In these regions, flow velocity and turbulence quantities vary abruptly in a nonlinear way from zero on the wall surface (as imposed by the no-slip condition) to their respective equilibrium freestream values, far away from the wall (Farzaneh-Gord et al , 2018). The performance of some systems depends on the velocity profile of the flow close to the wall and wall shear stress arising from fluid viscosity and turbulence, which play a very important role in this regard (Azimy and Saffarian, 2023; Rusin et al , 2018; Schosser et al , 2014). Concerning the near wall region, two ways are usually recommended in Reynolds-averaged Navier–Stokes (RANS) approach.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of dynamic correction of turbulence wall boundary conditions to simulate roughness effect in minichannel with rotating walls

Pahlavanzadeh,

Rusin,

Wróblewski

2023

HFF

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Purpose The purpose of this study is an assessment of the existing roughness models to simulate the flow in the narrow gap between corotating and rough disks. A specific configuration of the flow through the gap, which forms a minichannel with variable cross sections and rotating walls, makes it a complex problem and, therefore, worth discussing in more detail. Design/methodology/approach Two roughness models were examined, the first one was based on the wall function modification by application of the shift in the dimensionless velocity profile, and the second one was based on the correction of turbulence parameters at the wall, proposed by Aupoix. Due to the lack of data to validate that specific case, the approach to deal with was selected after a systematic study of reported test cases. It started with a zero-pressure-gradient boundary layer in the flow over a flat plate, continued with flow through minichannels with stationary walls, and finally, focused on the flow between corotating discs, pertaining each time to smooth and rough surfaces. Findings The limitations of the roughness models were highlighted, which make the models not reliable in the application to minichannel flows. It concerns turbulence models, near-wall discretization and roughness approaches. Aupoix’s method to account for roughness was selected, and the influence of minichannel height, mass flow rate, fluid properties and roughness height on the velocity profile between corotating discs in both smooth and rough cases was discussed. Originality/value The originality of this study is the evaluation and validation of different methods to account for the roughness in rotating mini channels, where the protrusions can cover a substantial part of the channel. Flow behavior and performance of different turbulence models were analyzed as well.

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“…Mesh independence study is presented in details in a paper by Rusin et al (2018a). That study put emphasis on the boundary layer discretization as well as the time discretization.…”

Section: Numerical Model and Boundary Conditionsmentioning

confidence: 99%

Comparison of methods for the determination of Tesla turbine performance

Rusin¹,

Wróblewski²,

Strozik³

2019

Journal of Theoretical and Applied Mechanics

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A numerical and experimental investigation of the Tesla turbine is presented in the paper. The experiment is conducted for various inlet pressure and load. The roughness of the rotor disc is determined as it is a key factor to obtain high turbine efficiency and power. The numerical investigations are performed for the same conditions as in the experiment. The computational results are compared with the analytical model. Comparison of performance characteristics show a relatively good agreement between the experiment and CFD. The analytical model overestimates distributions of pressure and circumferential velocities, although the predicted power is on the similar level as in the experiment and CFD.

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The evaluation of numerical methods for determining the efficiency of Tesla turbine operation

Cited by 12 publications

References 23 publications

CFD Simulation of Tesla Turbines Performance Driven by Flue Gas of Internal Combustion Engine

CFD Simulation of Tesla Turbines Performance Driven by Flue Gas of Internal Combustion Engine

Evaluation of dynamic correction of turbulence wall boundary conditions to simulate roughness effect in minichannel with rotating walls

Comparison of methods for the determination of Tesla turbine performance

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