随机误差对容腔瞬态换热试验影响分析及抑制

doi:10.13700/j.bh.1001-5965.2018.0598

北京航空航天大学学报 ›› 2019, Vol. 45 ›› Issue (7): 1451-1458.doi: 10.13700/j.bh.1001-5965.2018.0598

随机误差对容腔瞬态换热试验影响分析及抑制

丁水汀^1,2, 邓长春^1,2, 邱天^1,2, 李江涵^1,2, 单晓明³, 贺宜红³

1. 北京航空航天大学能源与动力工程学院, 北京 100083;
2. 航空发动机气动热力国家级重点实验室, 北京 100083;
3. 中国航发湖南动力机械研究所, 株洲 412000

收稿日期:2018-10-18 出版日期:2019-07-20 发布日期:2019-07-25
通讯作者: 邱天 E-mail:qiutian@buaa.edu.cn
作者简介:丁水汀男,博士,教授,博士生导师。主要研究方向:燃气轮机热端旋转部件流动与换热机理及航空发动机适航性设计与验证技术;邓长春男,硕士研究生。主要研究方向:航空发动机瞬态空气系统网络;邱天男,博士,助理研究员。主要研究方向:航空发动机总体和空气系统瞬态分析、航空发动机安全性设计和验证技术;李江涵女,硕士研究生。主要研究方向:航空发动机瞬态空气系统网络。
基金资助:
航空发动机复杂系统安全性教育部长江学者创新团队（IRT0905）

Influence analysis and suppression of random error on cavity transient heat transfer test

DING Shuiting^1,2, DENG Changchun^1,2, QIU Tian^1,2, LI Jianghan^1,2, SHAN Xiaoming³, HE Yihong³

1. School of Energy and Power Engineering, Beihang University, Beijing 100083, China;
2. National Key Laboratory of Science and Technology on Aero-Engine Aero-Thermodynamics, Beijing 100083, China;
3. AECC Hunan Aviation Powerplant Research Institute, Zhuzhou 412000, China

Received:2018-10-18 Online:2019-07-20 Published:2019-07-25
Supported by:
Innovation Plan of Aero Engine Complex System Safety by the Ministry of Education Chang Jiang Scholars of China (IRT0905)

摘要/Abstract

摘要： 针对容腔瞬态换热试验中测试数据的随机误差被数据处理的差分过程放大的问题，定量分析了随机测试误差对换热特性的影响，并提出抑制方法。结果表明：容腔内壁面对流换热特性误差对瞬态温度随机误差最为敏感，导致换热特性试验结果不确定度高。将改进经验模态分解（EMD）算法应用于数据差分处理过程中可以有效抑制测试随机误差对换热特性的影响。在容腔充气过程中，采用误差抑制方法后，容腔壁面换热特性的最大误差从129.07%降到63.62%，时均误差从25.24%降到8.12%。

关键词: 空气系统, 容腔, 随机误差, 误差分析, 经验模态分解

Abstract: To solve the problem that the random error of the measurement data in the cavity transient heat transfer test is amplified by the differential process of data processing, the influence of random measurement error on the heat transfer characteristics is quantitatively analyzed, and the suppression method is proposed. The results show that the error of the convective heat transfer characteristic of the inner wall of the cavity is most sensitive to the random error of the transient temperature, resulting in high uncertainty of the test results of the heat transfer characteristics. The improved empirical mode decomposition (EMD) algorithm can be used in data differential process to effectively suppress the influence of random errors on the heat transfer characteristics. In the cavity inflation process, the maximum error of the heat transfer characteristics of the cavity wall surface decreases from 129.07% to 63.62% and the time average error decreases from 25.24% to 8.12% with the usage of error suppression method.

Key words: air system, cavity, random error, error analysis, empirical mode decomposition

中图分类号:

V231.1⁺3

丁水汀, 邓长春, 邱天, 李江涵, 单晓明, 贺宜红. 随机误差对容腔瞬态换热试验影响分析及抑制[J]. 北京航空航天大学学报, 2019, 45(7): 1451-1458.

DING Shuiting, DENG Changchun, QIU Tian, LI Jianghan, SHAN Xiaoming, HE Yihong. Influence analysis and suppression of random error on cavity transient heat transfer test[J]. JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2019, 45(7): 1451-1458.

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随机误差对容腔瞬态换热试验影响分析及抑制

Influence analysis and suppression of random error on cavity transient heat transfer test

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