随机误差对容腔瞬态换热试验影响分析及抑制

丁水汀; 邓长春; 邱天; 李江涵; 单晓明; 贺宜红

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

doi: 10.13700/j.bh.1001-5965.2018.0598

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

基金项目:

航空发动机复杂系统安全性教育部长江学者创新团队 IRT0905

详细信息

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

通讯作者:
邱天, E-mail: qiutian@buaa.edu.cn

中图分类号: V231.1⁺3
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- 文章访问数: 532
- HTML全文浏览量: 15
- PDF下载量: 339
- 被引次数: 0
出版历程
- 收稿日期: 2018-10-18
- 录用日期: 2019-03-20
- 网络出版日期: 2019-07-20

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

Funds:

Innovation Plan of Aero Engine Complex System Safety by the Ministry of Education Chang Jiang Scholars of China IRT0905

More Information

Corresponding author: QIU Tian, E-mail: qiutian@buaa.edu.cn

摘要

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%。
- 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.
- air system /
- cavity /
- random error /
- error analysis /
- empirical mode decomposition

HTML全文

图 1 容腔物理模型

Figure 1. Physical model of cavity

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图 2 CFD结果

Figure 2. CFD results

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图 3 稳态误差对Nu的影响

Figure 3. Influence of steady error on Nu

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图 4 压力偏差对Nu的影响

Figure 4. Influence of pressure error on Nu

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图 5 温度误差对Nu的影响

Figure 5. Influence of temperature error on Nu

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图 6 全部瞬态误差对Nu的影响

Figure 6. Influence of all transient errors on Nu

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图 7 ΔP与Δ(P/T)计算结果

Figure 7. ΔP and Δ(P/T) calculation results

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图 8 EMD算法对Δ(P/T)处理效果对比

Figure 8. Comparison of Δ(P/T) treatment results by EMD algorithm

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图 9 改进EMD算法的应用效果

Figure 9. Application effect of improved EMD algorithm

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表 1 理想气体物性参数

Table 1. Physical property parameters of ideal gas

参数	c_P/(J·(kg·K)^-1)	λ/(W·(m·K)^-1)	μ/(10^-5kg·(m·s)^-1)	R_g/(J·(kg·K)^-1)
数值	1 004.4	0.026 1	1.831	287

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表 2 试验随机误差

Table 2. Random error in experiment

δL/mm	δT_in/K	δT_w/K	δP(t)/Pa	δT(t)/K
0.1	0.3	0.3	N(0, 15²)	N(0, 0.2²)

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