复合材料蜂窝板积水的脉冲热像检测的研究

材料工程与机械制造

本期目录 | 过刊浏览 | 高级检索

前一篇 | 后一篇

复合材料蜂窝板积水的脉冲热像检测的研究

郭兴旺¹, 章翡飞¹, 刘颖韬²

1. 北京航空航天大学机械工程及自动化学院, 北京 100191;
2. 北京航空材料研究院, 北京 100095

收稿日期:2011-09-01 修回日期:2011-11-29 出版日期:2012-06-25 发布日期:2012-06-26
通讯作者: 郭兴旺 E-mail:xingwangguo@buaa.edu.cn
基金资助:
国家自然科学基金(50975016,60672101);航空科学基金(2009ZD51045)

Study on Pulsed Thermography for Water Ingress Detection in Composite Honeycomb Panels

GUO Xingwang¹, ZHANG Feifei¹, LIU Yingtao²

1. School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China;
2. Beijing Institute of Aeronautical Materials, Beijing 100095, China

Received:2011-09-01 Revised:2011-11-29 Online:2012-06-25 Published:2012-06-26
Supported by:
National Natural Science Foundation of China (50975016, 60672101);Aeronautical Science Foundation of China (2009ZD51045)

摘要/Abstract

摘要： 用数值模拟和实验研究了飞机蜂窝板积水的脉冲热像检测的规律。提出了蜂窝板积水检测的新型三维传热模型;用有限元法分析了近水检测、远水检测和立放检测3种检测模式下信息参数与积水量的关系;用脉冲热像实验验证了近水检测的基本规律。结果表明:在这3种检测模式下,最大温差和最大对比度与积水高度均呈非线性关系,随着积水高度的增加而增大。近水检测灵敏度最高,其次是蜂窝板立放检测,远水检测灵敏度最低。积水和富胶对表面温度的影响趋势一致,利用温差曲线或最大温差信息无法区分积水和富胶状态。根据可检信息参数与积水高度的关系曲线可以反向估计积水高度。这些研究结果为飞机蜂窝板积水的脉冲热像检测及评估提供了技术支持。

关键词: 红外成像, 热像, 无损检测, 建模, 仿真, 蜂窝结构, 积水

Abstract: The mechanism of pulsed thermography (PT) for water detection in aviation composite honeycomb panels is studied by numerical simulation and experiment. A new 3-D heat conduction model of water detection in honeycomb panels is presented; the relationships between information parameters and water are analyzed for three testing modes, i.e. detecting from the near-water side, detecting from the far-water side and detecting as the honeycomb panel is vertically laid. The basic laws of water detection from the near-water side are verified by a PT experiment. The results indicate that, in the three testing modes, both the maximum temperature difference and maximum contrast are non-linear functions of water height, and will increase as the increment of the water height. The detection sensitivity is the highest from the near-water side, followed by the vertically laid honeycomb panel, and the far-water side is the lowest. Both water ingress and glue have similar influence on the surface temperature. Therefore, they cannot be distinguished by the temperature difference curve or the maximum temperature difference information. The water height can be evaluated inversely by the curves of the information parameters vs water height. The results obtained can provide technical support for water detection and evaluation of aviation honeycomb structures by PT.

Key words: infrared imaging, thermography, nondestructive testing, modeling building, simulation, honeycomb structure, water ingress

中图分类号:

郭兴旺, 章翡飞, 刘颖韬. 复合材料蜂窝板积水的脉冲热像检测的研究[J]. 航空学报, 2012, (6): 1134-1146.

GUO Xingwang, ZHANG Feifei, LIU Yingtao. Study on Pulsed Thermography for Water Ingress Detection in Composite Honeycomb Panels[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2012, (6): 1134-1146.

参考文献

[1] Qi G J, Lei H, Geng R S, et al. Recent progress in foreign nondestructive testing technology for aeronautical composite materials. Aviation Maintenance & Engineering, 2008 (5): 25-28. (in Chinese) 齐共金, 雷洪, 耿荣生, 等. 国外航空复合材料无损检测技术的新进展. 航空维修与工程, 2008(5): 25-28.

[2] Ning N, Yuan S F, Shen Z, et al. Nondestructive testing technology for aviation composite component in service. Aeronautical Manufacturing Technology, 2008(15): 50-52. (in Chinese) 宁宁, 袁慎芳, 沈真, 等. 在役航空复合材料结构的无损检测技术. 航空制造技术, 2008(15): 50-52.

[3] Crane R L, Astarita T, Berger H, et al. Aerospace applications of infrared and thermal testing. Maldague X P V,Moore P O. Nondestructive Testing Handbook. 3rd ed. Charleston: American Society for Nondestructive, 2001: 489-518.

[4] Ibarra-Castanedo C, Genest M, Guibert S, et al. Inspection of aerospace materials by pulsed thermography, lock-in thermography and vibrothermography: a comparative study. Knettel K M, Vavilov V P, Miles J J. Thermosense XXIX, Proceedings of the SPIE. Bellingham: SPIE, 2007:1-9.

[5] Christian G, Marie-Laetitia P, Florent E, et al. The detection of aeronautical defects in situ on composite structures using non destructive testing. Composite Structures, 2011, 93(5): 1328-1336.

[6] Anonym. Airbus adopts infrared thermography for in-service inspection. Insight:Non-Destructive Testing and Condition Monitoring, 1994, 36(10): 774-775.

[7] Meng T J. Detecting water in honeycomb of Airbus’s aircraft elevator in situ by infrared NDT. Proceedings of the 11th Annual Conference on Nondestructive Testing in Shaanxi Province. Xi’an: Shaanxi Mechanical Engineering Society, 2008: 42-46,14. (in Chinese) 孟铁军. 红外热成像无损检测技术原位检查空客飞机升降舵蜂窝积水. 陕西省第十一届无损检测年会论文集. 西安: 陕西机械工程学会, 2008: 42-46, 14.

[8] Vavilov V, Klimov A, Nesteruk D, et al. Detecting water in aviation honeycomb structures by using transient IR thermographic NDT. Cramer K, Maldague X. Thermosense XXV, Proceedings of the SPIE. Bellingham: SPIE, 2003: 345-355.

[9] Vavilov V, Nesteruk D. Evaluating water content in aviation honeycomb panels by transient IR thermography. Peacock G R, Burleigh D D, Miles J J. Thermosense XXVII, Proceedings of the SPIE. Bellingham: SPIE, 2005: 411-417.

[10] Vavilov V P, Klimov A G, Antoshkin S A, et al. Thermographic inspection to detect water ingress in composite sandwich panels in airplanes. NDT World, 2003, 20(2): 11-12. (in Russian)

[11] Saarimki E, Ylinen P. An investigation of non-destructive thermographic inspection exploiting phase transition of water for moisture detection in aircraft structures. 9th International Conference on Quantitative Infrared Thermography. 2008.

[12] Tian Y P, Zhou K Y, Zhao Y Y, et al. Detecting water in honeycomb structure by using pulsed phase thermography. Infrared Technology, 2006, 28(10): 615-619. (in Chinese) 田裕鹏, 周克印, 赵莹莹, 等. 蜂窝结构积水的脉冲相位红外成像检测. 红外技术, 2006, 28(10): 615-619.

[13] Zhou K Y, Tian Y P, Yao E T, et al. Method for recognizing type of flaw in honeycomb parts. Journal of Data Acquisition & Processing, 2004, 19(1): 115-118. (in Chinese) 周克印, 田裕鹏, 姚恩涛, 等. 蜂窝结构缺陷类型识别的研究. 数据采集与处理, 2004, 19(1): 115-118.

[14] Vavilov V, Marinetti S, Nesteruk D. Accuracy issues in modeling thermal NDT problems. Vavilov V P, Burleigh D D. Thermosense XXX, Proceedings of the SPIE. Bellingham: SPIE, 2008:1-12.

[15] Zeng X W, Chen G F, Zhang Y M. Factors affecting sensitivity of roof leakage by infrared detection technology. Journal of Yangtze River Scientific Research Institute, 2010, 27(6): 71-73,78. (in Chinese) 曾晓文, 陈国锋, 张咏梅. 屋面渗漏红外检测中影响灵敏度的因素分析. 长江科学院院报, 2010, 27(6): 71-73,78.

[16] Guo X W, Qie F, Simulating thermal NDT of bonded structures by FEM. Vavilov V, Burleigh D. Thermosense XXX, Proceedings of the SPIE. Bellingham: SPIE, 2008: 1-12.

[17] Guo X W, Xu W H. Heat transfer analysis of pulsed thermography for water detection in honeycomb structures. Infrared Technology, 2011, 35(5): 615-619. (in Chinese) 郭兴旺, 许文浩. 蜂窝结构积水的脉冲红外热像无损检测的传热分析. 红外技术, 2011, 33(5): 615-619.

E-mail：hkxb@buaa.edu.cn

关于我们

期刊社服务

专业学科

封面文章

友情链接

主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

复合材料蜂窝板积水的脉冲热像检测的研究

Study on Pulsed Thermography for Water Ingress Detection in Composite Honeycomb Panels

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	聂博文, 王亮权, 黄志银, 何龙, 杨仕鹏, 颜鸿涛, 章贵川. 复合式高速无人直升机飞行动力学建模与控制策略设计[J]. 航空学报, 2024, 45(9): 529848-529848.
[2]	卓越东, 李峭, 卢广山, 武俊杰. 无线航空电子机内通信MIMO信道仿真[J]. 航空学报, 2024, 45(8): 328969-328969.
[3]	骆燕燕, 杨硕, 潘晓松, 赵绪怀, 张莉. 航空用高速连接器信号反射抑制与优化设计[J]. 航空学报, 2024, 45(7): 328937-328937.
[4]	薛小锋, 赵淼龑, 杜倩宜, 冯蕴雯, 樊俊铃, 焦婷. 基于人员和环境因素定量化的检测可靠性[J]. 航空学报, 2024, 45(6): 228859-228859.
[5]	童晟翔, 史志伟, 耿玺, 王力爽, 孙志坤, 陈其昌. 组合式仿枫树子飞行器与空中分体技术[J]. 航空学报, 2024, 45(6): 629590-629590.
[6]	宋海浪, 张建东, 史国庆, 杨啟明, 张耀中. 航空火控系统试飞综合评估技术与方法探讨[J]. 航空学报, 2024, 45(5): 529687-529687.
[7]	朱清玉, 韩清凯, 王维民, 江志农. 航空发动机多支撑附件系统振动传递路径分析[J]. 航空学报, 2024, 45(4): 628303-628303.
[8]	李帅, 李启行, 谌璨, 方志法, 王维民. 融合柔性基础传递函数的转子系统建模方法及验证[J]. 航空学报, 2024, 45(3): 229250-229250.
[9]	赵清风, 周洲, 李明浩, 徐德. 分布式动力翼-诱导翼面推进-气动耦合模型[J]. 航空学报, 2024, 45(10): 129252-129252.
[10]	张桂玮, 刘召庆, 朱镭, 张衡, 田玮, 李伟光, 杨智春. 地面颤振模拟试验技术研究进展[J]. 航空学报, 2024, 45(10): 29229-029229.
[11]	盛方怡, 杨国林, 孟凡通, 董志刚, 康仁科. 沉头孔螺旋铣削加工有限元仿真分析[J]. 航空学报, 2024, 45(1): 428690-428690.
[12]	段广全, 刘国平. 基于全驱系统方法的组合航天器位姿自适应预设性能控制[J]. 航空学报, 2024, 45(1): 628837-628837.
[13]	邓有朋, 范佳宣, 郑岩, 王振亚, 吕勇梁, 李雨霄. 不完全信息下多智能体对手建模[J]. 航空学报, 2023, 44(S2): 729782-729782.
[14]	程晓玉, 韩鹏, 贺维, 张朋, 韩晓霞, 李英梅, 曹友. 一种新的基于可解释性置信规则库的飞轮健康状态评估模型[J]. 航空学报, 2023, 44(S1): 172-184.
[15]	孙晓哲, 侯东, 杨建忠. 双余度机电作动器力纷争机理及敏感性[J]. 航空学报, 2023, 44(S1): 727661-727661.