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Fuzzy pattern recognition of tungsten inert gas weld quality

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Abstract

In this paper, a fuzzy pattern recognition technique is applied to classifying aluminium weld quality in tungsten inert gas (TIG) welding. The pattern vector includes three components, that is, the front height, the back height, and the front width of weld. Based on the values of the pattern vector, good, fair, and poor weld qualities can be automatically classified by using the fuzzy pattern recognition technique. Experimental results under different welding parameters are presented to illustrate the proposed method.

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Authors and Affiliations

  1. Department of Mechanical Engineering, National Taiwan Institute of Technology, 43 Keelung Road Section 4, 10672, Taipei, Taiwan

    Y. S. Tarng, S. S. Yeh & S. C. Juang

Authors
  1. Y. S. Tarng
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  2. S. S. Yeh
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  3. S. C. Juang
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Tarng, Y.S., Yeh, S.S. & Juang, S.C. Fuzzy pattern recognition of tungsten inert gas weld quality. Int J Adv Manuf Technol 13, 387–392 (1997). https://doi.org/10.1007/BF01179032

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  • DOI: https://doi.org/10.1007/BF01179032

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