Prediction of Molten Pool Width with Artificial Neural Network Model

Teng Wang; Xiang Dong Gao

doi:10.4028/www.scientific.net/AMR.482-484.2210

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 482-484Prediction of Molten Pool Width with Artificial...

Prediction of Molten Pool Width with Artificial Neural Network Model

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.

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Periodical:

Advanced Materials Research (Volumes 482-484)

Pages:

2210-2213

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.482-484.2210

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Online since:

February 2012

Authors:

Teng Wang, Xiang Dong Gao

Keywords:

BP Neural Network (BPNN), Disk Laser Welding, Molten Pool Width, Prediction

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