Evaluation of Surface Defect Area in Metal Based on Infrared Thermal Image

Abstract:

A method to evaluate surface defects, size of metal plate was put forward base on infrared thermography and time sequence images features. Put 45# steel plate as the object, firstly, time-sequence images in cooling process was got based on infrared thermography technology; Secondly, according to the change features of gray value in normal area and defect area of time sequence images, an identification was made to tell in which image the different factors exists. Finally, combined statistical differences between normal and defect area with image processing techniques to achieve the defect area evaluation. On the basis of laboratory studies, trials of 45# steel sheet were carried out in laboratory and the expected goals were reached. Proposed method enables the average relative errors for each evaluated defect area are less than 7 percent. which can provide a useful reference for the evaluation of defect area of infrared nondestructive testing field.

• Periodical: Applied Mechanics and Materials (Volumes 530-531)
• Pages: 171-174
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.530-531.171
• Online since: February 2014
• Authors: Zheng Ping Liu*, Lin Hai Hu, Jian Min Zhou, Li Cai
• Keywords: Defect Evaluation, Image Processing, Infraredthermography, Time Sequence Images

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