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<p>Laser processing parameters are an important factor determining the surface quality during the process of micro pit surface texture forming. Box-Behnken (BBD) and orthogonal method were used to design the parameters of laser machining, as well as the relationship between energy, frequency, pulse width and repetition times on micro pit forming were studied. The response surface method (RSM) model and BP neural network model optimized by gray wolf algorithm (GWO) were established respectively, and the processing parameters were predicted and optimized. The optimal laser processing parameters obtained by GWO-BP model were 333.5&#xa0;μm and 28.8&#xa0;μm, which are higher than 254.2&#xa0;μm and 21.4&#xa0;μm obtained by RSM model. The results showed that the prediction and optimization ability of the GWO-BP model was better than that of the RSM model, and the BP model optimized by GWO could provide a more effective prediction method for realizing the optimal laser micro pit machining.</p>

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Study on laser textured surface machining and optimization of process parameters

  • 期刊论文

  • 发表日期：

    2025年1月3日

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  • Yazhou Mao,
  • Yuxuan Zhang,
  • Shaolin Shi,
  • Linyuan Wang,
  • Zichen Li,
  • Jingyang Zheng

摘要

Laser processing parameters are an important factor determining the surface quality during the process of micro pit surface texture forming. Box-Behnken (BBD) and orthogonal method were used to design the parameters of laser machining, as well as the relationship between energy, frequency, pulse width and repetition times on micro pit forming were studied. The response surface method (RSM) model and BP neural network model optimized by gray wolf algorithm (GWO) were established respectively, and the processing parameters were predicted and optimized. The optimal laser processing parameters obtained by GWO-BP model were 333.5 μm and 28.8 μm, which are higher than 254.2 μm and 21.4 μm obtained by RSM model. The results showed that the prediction and optimization ability of the GWO-BP model was better than that of the RSM model, and the BP model optimized by GWO could provide a more effective prediction method for realizing the optimal laser micro pit machining.