Chinese Journal of Lasers, Volume. 35, Issue 10, 1632(2008)

Prediction of Characteristic and Performance of Laser Cladding for Al Alloy Based on Artificial Neural Network

Huang Anguo*, Li Gang, Wang Yongyang, Li Lei, and Li Zhiyuan
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  • [in Chinese]
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    Based on the artificial neural network (ANN), a model is established to describe the laser cladding parameters and the characteristic and performance of laser cladding layers. The characteristic and performance of laser cladding layers are predicted with the model in which the input parameters consist of laser power, scanning velocity, laser spot diameter, and coating proportion and the output parameters include the clad hardness, the clad width, and the clad height. The results show that the mean error is small, and the model has good verifying precision and excellent ability of predicting. The model can basically forecast the characteristic and performance of laser cladding layers.

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    Huang Anguo, Li Gang, Wang Yongyang, Li Lei, Li Zhiyuan. Prediction of Characteristic and Performance of Laser Cladding for Al Alloy Based on Artificial Neural Network[J]. Chinese Journal of Lasers, 2008, 35(10): 1632

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    Paper Information

    Category: laser manufacturing

    Received: Sep. 21, 2007

    Accepted: --

    Published Online: Oct. 24, 2008

    The Author Email: Anguo Huang (huang-anguo@163.com)

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