Components and engine matching of core-derived turbofan

OUYANG Hui; ZHU Zhi-li; YU Bo-liang

Chinese

您当前的位置：

首页 >

文章列表页 >

Components and engine matching of core-derived turbofan

更新时间：2026-07-07

- Components and engine matching of core-derived turbofan
- Vol. 25, Issue 9, (2010)
- 作者机构：
  
  1. 北京航空航天大学能源与动力工程学院,北京,100191
  2. 中国航空工业集团公司中国燃气涡轮研究院,成都,610500
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2010
- 稿件说明：
移动端阅览
OUYANG Hui, ZHU Zhi-li, YU Bo-liang. Components and engine matching of core-derived turbofan[J]. 2010, 25(9).
DOI：

OUYANG Hui, ZHU Zhi-li, YU Bo-liang. Components and engine matching of core-derived turbofan[J]. 2010, 25(9). DOI：

摘要

以核心机与低压系统的部件及整机气动热力匹配关系为理论依据

在全面考虑低压压缩系统与核心机压气机的匹配约束关系、核心机涡轮工作状态相应变化以及派生发动机内外涵整机匹配的多因素下

建立了核心机派生涡扇发动机部件及整机气动热力循环匹配算法模型.应用该模型

进行了核心机派生涡扇发动机循环参数及性能趋势分析

计算结果表明高低压和整机匹配约束直接影响核心机派生涡扇发动机循环参数和整机性能

为核心机派生系列化涡扇发动机工程实践应用中所涉及的部件/整机参数匹配及性能预估提供分析和设计参考.

Abstract

The gas turbine core-engine derivative model for turbofan serialization

which focused on thermo-cycle approach

was established based on components and engine matching between core-engine and low-pressure system.The model took into account high-low system interaction

core turbine operation and inner-outer duct compatibility comprehensively

and then it was utilized to analyze derived turbofans' cycle and performance.The results show that the coupled low-high systems' constraints influence turbofan's performance and cycle parameters

providing engineering reference and design criteria for core-derived turbofan's matching and simulation.

关键词

Keywords

references

Views

453

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Key turbomachinery technology of civil high-bypass-ratio turbofan engine

Versatile core engine technology for turboshaft(turboprop)/turbofan(turbojet) engines

基于三维接触摩擦单元的套齿连接解析建模研究

考虑多源不确定性的复合材料风扇叶片高周疲劳失效概率评估

与发动机匹配的旁路式双喉道气动矢量喷管数值模拟研究

Related Author

ZOU Zheng-ping

LI Yu

LIU Huo-xing

ZHANG Zheng-qiu

YE Jian

LI Wei

CHEN Jing-wei

YIN Ze-yong

Related Institution

School of Jet Propulsion, National Key Laboratory on Aero-Engines, Aeroengine Numerical Simulation Research Center, Beijing University of Aeronautics and Astronautics

Chinese Aviation Powerplant Research Institute

China Aviation Powerplant Research Institute

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰