Journal of Welding and Joining

  • 제18권4호
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  • Pages.48-54
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  • 2000
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  • 2466-2232(pISSN)
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  • 2466-2100(eISSN)
대한용접접합학회 (The Korean Welding and Joining Society)
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Prediction of the Bead Width Using an Artificial Neural Network

  • 발행 : 2000.08.01
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초록

Adaptive control in the robotic GMA(Gas Metal Arc) welding is employed to monitor information about weld characteristics and process parameters as well; as t modify those parameters to hold weld. The objectives of this paper are to realize the mapping characteristics of bead width through the neural network and multiple regression method as well as to select the most accurate model in order to control the weld quality(bead width0. The experimental results show that the proposed neural network estimator can predict bead width with reasonable accuracy, and guarantee the uniform weld quality.

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참고문헌

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