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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Centrifugal pumps have a wide range of applications in the aviation field. The present work focuses on the optimal design of aviation fuel pump impellers by means of an inverse method. The fuel pump impeller is designed here by solving an inverse problem, in which the impeller geometry is found by imposing a target blade loading. As the inverse procedure is inviscid, an iterative process based on RANS is then applied to finally converge to a fully viscous solution. Three representative loading distributions have been investigated, and the final performances are evaluated by RANS computations. Since flow variables, rather than the blade geometry, are imposed on the target flow field, it is found that the impellers designed by way of the inverse method have high efficiency under the conditions without cavitation; among them, the pump impeller with a higher loading at the hub maintains a high efficiency for a wide range of flow conditions and also has better anti-cavitation performances under low inlet pressure conditions. Moreover, cavitation resistance can be improved by adjusting the loading distribution near the blade leading edge using the inverse design tool.

Details

Title
Impeller Design and Performance Analysis of Aviation Fuel Pump Based on the Inverse Method
Author
Ping, Chenguang 1 ; Yang, Jinguang 1   VIAFID ORCID Logo  ; Ferlauto, Michele 2   VIAFID ORCID Logo  ; Zhao, Yang 3 

 School of Energy and Power, Dalian University of Technology, Dalian 116024, China; [email protected] (C.P.); [email protected] (J.Y.) 
 Department of Mechanical and Aerospace Engineering, Politecnico di Torino, 10129 Turin, Italy 
 Shenyang Blower Works Group Corporation, Shenyang 110869, China; [email protected] 
First page
61
Publication year
2023
Publication date
2023
Publisher
MDPI AG
e-ISSN
24119660
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2829794942
Copyright
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.