Journal of Northeastern University:Natural Science ›› 2017, Vol. 38 ›› Issue (5): 680-684.DOI: 10.12068/j.issn.1005-3026.2017.05.015

• Mechanical Engineering • Previous Articles     Next Articles

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
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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

CLC Number: