航空发动机叶片表面红外测温校准及温度场重构

方弘毅; 罗捷; 王登奎; 杨建华; 曾敏; 邹远禄; 胡南滔; 杨志

航空发动机叶片表面红外测温校准及温度场重构

方弘毅^{1, 2},
罗捷^{3, 4},
王登奎¹,
杨建华^{3, 4},
曾敏³,
邹远禄¹,
胡南滔^{3, 4},
杨志^3, ,

1.
中国航发四川燃气涡轮研究院, 四川绵阳, 621000
2.
国家卓越工程师学院, 西北工业大学, 陕西西安, 710129
3.
微米纳米加工技术全国重点实验室, 上海交通大学, 上海, 200240
4.
微纳电子学系, 电子信息与电气工程学院, 上海交通大学, 上海, 200240

基金项目:

中国航发四川燃气涡轮研究院外委课题

四川省科技计划省院省校合作项目 2023YFSY0023

详细信息

作者简介:
方弘毅(1985-)，男，陕西安康市人，高级工程师，主要从事航空发动机空气系统与热分析研究

通讯作者:
杨志(1976-)，男，教授，博士生导师，主要从事纳米电子材料与器件研究。E-mail：zhiyang@sjtu.edu.cn

中图分类号: V232.4
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出版历程
- 收稿日期: 2022-11-27
- 修回日期: 2023-01-09
- 刊出日期: 2024-08-19

Infrared Temperature Measurement Calibration and Temperature Field Reconstruction of Aero-Engine Blade Surface

FANG Hongyi^{1, 2},
LUO Jie^{3, 4},
WANG Dengkui¹,
YANG Jianhua^{3, 4},
ZENG Min³,
ZOU Yuanlu¹,
HU Nantao^{3, 4},
YANG Zhi^3, ,

1.
AECC Sichuan Gas Turbine Establishment, Mianyang, 621000, China
2.
National Elite Institute of Engineering, Northwestern Polytechnical University, Xi'an, 710129, China
3.
National Key Laboratory of Advanced Micro and Nano Manufacture Technology, Shanghai Jiao Tong University, Shanghai, 200240, China
4.
Department of Micro/Nano Electronics, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China

摘要

摘要:
随着我国航空业的蓬勃发展，航空发动机技术取得了长足的进步。作为航空发动机的关键组件，航空发动机叶片的研制关乎全局。对其温度进行实时、精确的测量监控有助于推动航空发动机叶片相关技术的突破。本文提出了一种基于红外测温技术的航空发动机叶片温度校准算法和温度场三维重构策略。该工作利用多层感知机网络的函数拟合能力，建立了对目标点精确温度与其周围温度分布的函数关系，并将红外测温的误差控制在1.24℃。在此基础上，采用投影法和三维点云法向量估计的创新策略，实现了二维红外图像到三维空间位置映射。该方法能从单视角红外图像得到温度场三维重构，重构过程简单，摆脱了对多视角图像的依赖。
- 多层感知机 /
- 红外温度校准 /
- 温度场重建
Abstract:
With the vigorous development of the aviation industry in China, significant progress has been made in aeroengine technology. As key components of aeroengines, the development of aeroengine blades is crucial. Real-time and accurate monitoring of the blade temperature will help promote breakthroughs in related technologies for aeroengine blades. This study proposes a temperature calibration algorithm and three-dimensional reconstruction strategy for the temperature field based on infrared temperature measurements for aeroengine blade temperature monitoring. Based on the function fitting ability of the multilayer perceptron network, the functional relationship between the precise temperature of the target point and its surrounding temperature distribution is established, and the error of infrared temperature measurement is controlled within 1.24 ℃. On this basis, through an innovative projection method and 3D point cloud normal vector estimation, the position mapping from 2D infrared image to 3D space has been achieved. We achieved a three-dimensional temperature field reconstruction via single-view infrared images through a simple process without dependence on multiview images.
- multilayer perceptron /
- infrared temperature calibration /
- temperature field reconstruction

HTML全文

图 1 添加噪声前后红外图像

Figure 1. Infrared images before and after adding noise

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图 2 温度校准流程图

Figure 2. Flow chart of temperature calibration

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图 3 MLP网络结构

Figure 3. MLP network structure

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图 4 叶片实物和叶片3D模型

Figure 4. Real image and 3D model of the aero-engine blade

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图 5 红外图像二值化和轮廓识别

Figure 5. Infrared image binarization and contour recognition

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图 6 三维温度场重建过程

Figure 6. Reconstruction process of 3D temperature field

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图 7 训练过程中模型的loss曲线

Figure 7. The loss curve of the model during the training process

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图 8 五个测试样本温度校准对比

Figure 8. Temperature calibration comparison of five test samples

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图 9 三维温度场重建

Figure 9. Reconstruction of 3D temperature field

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图 10 温度场重构样本误差

Figure 10. Error of samples in temperature field reconstruction

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表 1 样本平均温度误差E/mm

Table 1 Average temperature error of test samples

Test sample Average temperature error of sample/℃ Average value/℃

1 1.0770 1.24

2 1.8330

3 0.9736

4 0.9483

5 1.3708

下载: 导出CSV

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