LAPSE:2023.30176
Published Article
LAPSE:2023.30176
A Comparison of Partial Admission Axial and Radial Inflow Turbines for Underwater Vehicles
Hanwei Wang, Yue Chao, Tian Tang, Kai Luo, Kan Qin
April 14, 2023
The metal fueled steam Rankine cycle has been successfully applied to Unmanned Underwater Vehicles. However, the suitable turbine configuration is yet to be determined for this particular application. In this paper, the mean-line design approach based on the existing empirical correlations is first described. The corresponding partial admission axial and radial inflow turbines are then preliminarily designed. To assess the performance of designed turbines, the three-dimensional Computational Fluid Dynamics (CFD) simulations and steady-state structural analysis are performed. The results show that axial turbines are more compact than radial inflow turbines at the same output power. In addition, since radial inflow turbines can reduce the exit energy loss, this benefit substantially offsets the increment of the rotor losses created by the low speed ratios and supersonic rotor inlet velocity. On the contrary, due to the large volume of dead gas and strong transient effects caused by the high rotor blade length of radial inflow turbines, the overall performance between axial and radial inflow turbines is comparable (within 4%). However, the strength of radial inflow turbines is slightly superior because of lower blade inlet height and outlet hub radius. This paper confirms that the axial turbine is the optimal configuration for underwater vehicles in terms of size, aerodynamics and structural performance.
Keywords
Computational Fluid Dynamics, loss breakdown, partial admission, turbine comparison, underwater vehicles
Suggested Citation
Wang H, Chao Y, Tang T, Luo K, Qin K. A Comparison of Partial Admission Axial and Radial Inflow Turbines for Underwater Vehicles. (2023). LAPSE:2023.30176
Author Affiliations
Wang H: School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, Shaanxi, China [ORCID]
Chao Y: Xi’an Precision Machinery Research Institute, Xi’an 710077, Shaanxi, China
Tang T: Xi’an Precision Machinery Research Institute, Xi’an 710077, Shaanxi, China
Luo K: School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, Shaanxi, China
Qin K: School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, Shaanxi, China
Journal Name
Energies
Volume
14
Issue
5
First Page
1514
Year
2021
Publication Date
2021-03-09
Published Version
ISSN
1996-1073
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PII: en14051514, Publication Type: Journal Article
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doi:10.3390/en14051514
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