[1]董清清,等.基于 POD 算法的燃烧室冷态流场试验数据后处理[J].机械与电子,2025,(05):18-22.
　DONG Qingqing,,et al.Cold Flow Field Test Data Post-processing in Combustion Chamber Based on POD Algorithm[J].Machinery & Electronics,2025,(05):18-22.
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基于 POD 算法的燃烧室冷态流场试验数据后处理()
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2025年05期
页码:
18-22
栏目:
研究与设计
出版日期:
2025-05-23

文章信息/Info

Title:
Cold Flow Field Test Data Post-processing in Combustion Chamber Based on POD Algorithm
文章编号:
1001-2257 ( 2025 ) 05-0018-05
作者:
董清清 1 ; 2 ;  3 ; 陈 坚 1 ;  2 ; 3
1. 贵州理工学院航空航天工程学院,贵州 贵阳 550025 ;
2. 贵州省高等学校航空发动机热管理与智能制造重点实验室,贵州 贵阳 550025 ;
3. 航空宇航推进系统贵州省科技创新领军人才工作站,贵州 贵阳 550025
Author(s):
DONG Qingqing1 ;  2 ;  3 ;  CHEN Jian1 ;  2 ;  3
( 1.School of Aerospace Engineering , Guizhou Institute of Technology , Guiyang 550025 , China ;?
2.Guizhou Provincial Key Laboratory of Thermal Management and Intelligent Manufacturing of Aero-engines , Guiyang 550025 , China ;?
3.Aerospace Propulsion System Guizhou Provincial Innovation and Entrepreneurship Leading Talent Workstation , Guiyang 550025 , China )
关键词:
燃烧室流场; 本征正交分解; 流场重构; 数据后处理
Keywords:
combustion chamber flow field ;  proper orthogonal decomposition ;  flow field reconstruction ;  data post-processing
分类号:
V231.3
文献标志码:
A
摘要:
针对航空发动机燃烧室内复杂气流影响燃烧性能及排放的关键问题,提出运用本征正交分解 ( POD )方法对低采样频率 PIV 数据进行分析,以揭示时均流场中瞬态相干结构,通过重构能量占比大的前十阶本征模态,深入剖析燃烧室流场特性。结果表明,低模态具有较高的能量,随着模态阶数的增加,能量占比迅速降低,前几阶模态基本体现了流场中大尺度含能结构的动态特性。利用 POD 方法可以在低采样频率的 PIV 试验数据的情况下反映出原流场中的大部分大尺度流场结构,并可进一步深入研究燃烧室内复杂流动中的拟序结构在气流卷吸及混合过程中的作用,了解其发展、对并和破裂等动力学演化过程。
Abstract:
Regarding the crucial problem that the complex airflow in the combustion chamber of aeroengines affects the combustion performance and emissions , this paper proposesapplying the Proper Orthogonal Decomposition ( POD ) method to analyze the low-sampling frequency PIV data , so as to reveal the transient coherent structures in the time-averaged flow field.By reconstructing the first ten eigenmodes with a large proportion of energy , the characteristics of the combustion chamber flow field are analyzed in depth.The findings reveal that lower modes possess greater energy.With the energy proportion declining sharply , the modal order increases.The initial few modes predominantly capture the dynamic traits of large-scale energetic structures within the flow field.The POD method enables the visualization of most large-scale flow field structures in the original flow field , even with low-sampling frequency PIV test data.It further facilitates an in depth exploration of the role played by quasi-coherent structures in the intricate flow within the combustion chamber during airflow entrainment and mixing , shedding light ondynamics processes like development , coalescence , and rupture.

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备注/Memo

备注/Memo:
收稿日期: 2024-09-07
基金项目:贵州省教育厅高等学校科学研究项目(黔教技[ 2022 ] 268 号);国家自然科学基金资助项目( 52166006 )
作者简介:董清清 ( 1991- ),男,贵州遵义人,实验师,研究方向为流场相关数值模拟。
更新日期/Last Update: 2025-06-11