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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

A model of a NUAA-PTRE pre-cooled air turbine engine was established. The design point parameters of the engine were optimized, including the pressure ratio, air flow rate of the compressor, efficiency, throat area, and efficiency of the turbine. The air flow rate at the engine operating point was 142.73 kg/s. High performance of the key components under a wide range of working conditions was realized after optimization. To achieve the indicators of the overall scheme, adaptability studies of key components were conducted. A three-stage variable geometry design was applied to the inlet. The pre-cooler was optimized with a power-to-weight ratio of over 100 kW/kg and a compactness of 278 m2/m3. The built-in rocket gas generator and dual-component injector were developed, and the combustion and heat transfer processes were simulated. The overall optimization design of the NUAA-PTRE and the adaptive design of the components were completed, and high performance of the engine in a wide range of flight conditions at Ma 0~5 and altitude 0~25 km was achieved.

Details

Title
Optimization Design of the NUAA-PTRE: A New Pre-Cooled Turbine Engine Adapting to 0~5 Mach Number
Author
Yao, Zhaohui 1   VIAFID ORCID Logo  ; Guo, Yuanzhao 1 ; Niu, Jun 2 ; Jin, Zhiguang 1 ; Yu, Tianhao 1 ; Guo, Baojun 3 ; Pu, Wenhao 1 ; Wei, Xin 1 ; Feng, Jin 1 ; Li, Bo 1 ; Liu, Mengying 1 

 College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China 
 Beijing Power Machinery Research Institute, Beijing 100074, China 
 Xi’an Yuanhang Vacuum Brazing Technology Co., Ltd., Xi’an 710200, China 
First page
185
Publication year
2023
Publication date
2023
Publisher
MDPI AG
e-ISSN
22264310
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2779477557
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.