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Received: 2005-03-20

Revision Accepted: 2005-04-08

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Cited: 3

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Citations:  Bibtex RefMan EndNote GB/T7714

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Journal of Zhejiang University SCIENCE A 2005 Vol.6 No.10 P.1146-1151


Research on ultrasonic detection of complex surfaces

Author(s):  JIANG Jian, ZHOU Xiao-jun, GUO Tian-tai, WU Si-yuan

Affiliation(s):  Department of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   vc-learner@163.com

Key Words:  Ultrasonic NDT, Complex surface, Automatic sensitivity compensation, Ultrasonic measurement, Surface reverse, Template matching, Pseudo-color imaging

JIANG Jian, ZHOU Xiao-jun, GUO Tian-tai, WU Si-yuan. Research on ultrasonic detection of complex surfaces[J]. Journal of Zhejiang University Science A, 2005, 6(10): 1146-1151.

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DOI - 10.1631/jzus.2005.A1146

Parts of complex surface are widely used now in many fields, and their detection has caused much concern. In China many manufactories still carry on the traditional way of manual detection, which requires highly skilled personnel and efficiency is low. Some large manufactories have imported auto-detecting equipments, which require CAD data on the parts, or just divide the surface into several approximate planes for automatic detection. Phased-array system is seldom used, and the cost is high. Besides, most of the systems have not considered the automatic sensitivity compensation of parts with varying thickness. To improve the detection quality and efficiency of nondestructive test (NDT) of parts of complex surface, this paper puts forward an integrated ultrasonic NDT system characterized by: (1) Use of ultrasonic measurement and reverse of curved surface to solve the CAD data problem; (2) Use of an automatic sensitivity compensation algorithm (based on the part’s modelling information obtained in surface reverse) to fit the variety of the thickness; (3) Use of template matching and pseudo-color imaging to improve the quality of detection results. The system features integration of low cost mature technologies, and is suitable for detection of various parts of different complex surfaces in medium-and-small enterprises. The test results showed that the system can automatically detect parts of complex surface successfully, and that the inspection result is good and reliable.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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