• Chinese Journal of Lasers
  • Vol. 35, Issue 10, 1632 (2008)
Huang Anguo*, Li Gang, Wang Yongyang, Li Lei, and Li Zhiyuan
Author Affiliations
  • [in Chinese]
  • show less
    DOI: Cite this Article Set citation alerts
    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 Copy Citation Text show less

    Abstract

    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.
    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
    Download Citation