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Structure Optimization of a Tesla Turbine Using an Organic Rankine Cycle Technology

Yongguo Li1,2, Caiyin Xu1,2,*, Can Qin1,2, Dingjian Zheng1,2

1 School of Engineering, Shanghai Ocean University, Shanghai, 201306, China
2 Shanghai Marine Renewable Energy Engineering Technology Research Center, Shanghai, 201306, China

* Corresponding Author: Caiyin Xu. Email: email

Fluid Dynamics & Materials Processing 2024, 20(6), 1251-1263. https://doi.org/10.32604/fdmp.2023.044804

Abstract

The so-called ORC (Organic Rankine Cycle) heat recovery technology has attracted much attention with regard to medium and low temperature waste heat recovery. In the present study, it is applied to a Tesla turbine. At the same time, the effects of the disc speed, diameter and inter-disc gap on the internal flow field and output power of the turbine are also investigated by means of CFD (Computational Fluid Dynamics) numerical simulation, by which the pressure, velocity, and output efficiency of the internal flow field are obtained under different internal and external conditions. The highest efficiency (66.4%) is obtained for a number of nozzles equal to 4, a disk thickness of 1 mm, and a gap of 1 mm between the disks. The results of the study serve as a theoretical basis for the structural design and optimization of Tesla turbines.

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APA Style
Li, Y., Xu, C., Qin, C., Zheng, D. (2024). Structure optimization of a tesla turbine using an organic rankine cycle technology. Fluid Dynamics & Materials Processing, 20(6), 1251-1263. https://doi.org/10.32604/fdmp.2023.044804
Vancouver Style
Li Y, Xu C, Qin C, Zheng D. Structure optimization of a tesla turbine using an organic rankine cycle technology. Fluid Dyn Mater Proc. 2024;20(6):1251-1263 https://doi.org/10.32604/fdmp.2023.044804
IEEE Style
Y. Li, C. Xu, C. Qin, and D. Zheng, “Structure Optimization of a Tesla Turbine Using an Organic Rankine Cycle Technology,” Fluid Dyn. Mater. Proc., vol. 20, no. 6, pp. 1251-1263, 2024. https://doi.org/10.32604/fdmp.2023.044804



cc Copyright © 2024 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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