Paper Title:
Ultrasonic Fast-Identification Expert System of the Auto Stick-Weld Defect Based on Echo-Characteristics Analyzing
  Abstract

The current inspection methods of spot-weld quality are difficult to achieve an ideal result especially for the stick-weld defect which is one of the most important types of spot-weld defect in the automotive body. This paper thus developed one fast-identification method to identify the joint defects quickly and efficiently based on quantitative analyzing the echo characteristics of ultrasonic curves that could reflect the spot-welding joint defects. The echo-characteristic parameters were analyzed quantitatively through the decision-making bintree of defects and ART networks. After knowledge acquiring and information processing, a fast-identification expert system (FIES) was developed to identify the automotive body spot-weld defects, through collecting the standard ultrasonic curves and quantitatively analyzing. Finally, a series of experiments were conducted to verify the proposed methods and the results showed that FIES is credible and the identification rate can exceed 95% in total test samples.

  Info
Periodical
Key Engineering Materials (Volumes 353-358)
Edited by
Yu Zhou, Shan-Tung Tu and Xishan Xie
Pages
2297-2300
DOI
10.4028/www.scientific.net/KEM.353-358.2297
Citation
X. M. Lai, X. Zhao, Y. S. Zhang, G. L. Chen, "Ultrasonic Fast-Identification Expert System of the Auto Stick-Weld Defect Based on Echo-Characteristics Analyzing", Key Engineering Materials, Vols. 353-358, pp. 2297-2300, 2007
Online since
September 2007
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Price
$32.00
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