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本文通过人工神经网络技术对YAG激光打孔的工艺进行了优化 ,使再铸层厚度从一般情况下的几十个微米降低到十个微米左右。
In this paper, artificial neural network technology is used to optimize the process of YAG laser drilling to reduce the recast layer thickness from tens of micrometers to 10 micrometers in general.