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- W2024542145 abstract "Online monitoring of welding process has become necessary as the use of laser welding increases. In laser welding the molten pool width is one of the most important quality aspects. Metal plume and spatters are measured and used as signals for predicting the molten pool width. In this work, BP neural network model is established. The effectiveness of the model is demonstrated, the results show good agreements with corresponding experimental data." @default.
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- W2024542145 date "2012-02-01" @default.
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- W2024542145 title "Prediction of Molten Pool Width with Artificial Neural Network Model" @default.
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- W2024542145 doi "https://doi.org/10.4028/www.scientific.net/amr.482-484.2210" @default.
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