东北大学学报:自然科学版 ›› 2017, Vol. 38 ›› Issue (5): 680-684.DOI: 10.12068/j.issn.1005-3026.2017.05.015

• 机械工程 • 上一篇    下一篇

应用量纲分析与热图像的板缺陷深度检测

李常有1, 杨勇1, 郭耸2, 张义民1   

  1. (1. 东北大学 机械工程与自动化学院, 辽宁 沈阳110819; 2. 沈阳建筑大学 信息与控制工程学院, 辽宁 沈阳110168)
  • 收稿日期:2015-12-14 修回日期:2015-12-14 出版日期:2017-05-15 发布日期:2017-05-11
  • 通讯作者: 李常有
  • 作者简介:李常有(1980-),男,贵州金沙人,东北大学副教授; 张义民(1958-),男,吉林长春人,东北大学教授,教育部“长江学者奖励计划”特聘教授.
  • 基金资助:

    教育部新世纪优秀人才支持项目(NCET-12-0105); 中央高校基本科研业务费专项资金资助项目(N140304006); 国家自然科学基金资助项目(51575095,51135003).

Detection of Depth Plate Defect Based on Dimensional Analysis and Thermal Image

LI Chang-you1, YANG Yong1, GUO Song2, ZHANG Yi-min1   

  1. 1. School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, China; 2. School of Information & Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China.
  • Received:2015-12-14 Revised:2015-12-14 Online:2017-05-15 Published:2017-05-11
  • Contact: LI Chang-you
  • About author:-
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摘要:

利用量纲分析与板的红外热图像相结合,提出板缺陷深度的定量检测方法.建立了缺陷板的热分析有限元模型,并由已知实验数据对模型进行验证.在此基础上,分析缺陷与完好处峰值温差时间的影响因数,采用量纲分析推导影响因数与峰值温差时间的对应关系,利用热分析有限元模型仿真数据进行拟合,获得板缺陷深度和半径与峰值温差时间之间的函数关系式,相比于其他定义温差法,提出的方法以峰值温差时间为缺陷特征,更具全面性.结果表明,提出的方法能较为准确地检测板的缺陷深度.

关键词: 量纲分析法, 热图像, 峰值温差, 参数关系, 缺陷检测

Abstract:

A method combining dimensional analysis with thermal image is proposed to quantitatively detect the defect depth of plates. The thermal analysis model of defective plates is built with the finite element method and verified by the known experimental data. Then, the influence factors of the time of maximum temperature difference between the defective and intact parts are analyzed and the corresponding relationship between the time and the factors is derived by means of dimensional analysis. The corresponding relationship is formulated by fitting the simulation data of the thermal analysis model. Compared with the other defined temperature difference methods, the proposed method is more comprehensive, which could detect the defect depth of plates more accurately, as the result shows.

Key words: dimensional analytical method, thermal image, maximal temperature difference, factor relation, defect detection

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