论文标题
通过Speckle模式观察进行现场处理监测神经网络辅助监测
Neural-network-assisted in situ processing monitoring by speckle pattern observation
论文作者
论文摘要
我们提出了一种使用激光斑点模式监测激光处理进度的方法。使用飞秒激光脉冲进行激光槽和打击乐钻孔。使用高速摄像头对处理点的斑点图案进行了监测，并通过深层神经网络进行分析。深度神经网络使我们能够从斑点模式中提取多个信息，而无需进行分析公式。受过训练的神经网络能够以2 \ micron的不确定性以及正在处理的材料预测消融深度，这对于复合材料加工非常有用。
We propose a method to monitor the progress of laser processing using laser speckle patterns. Laser grooving and percussion drilling were performed using femtosecond laser pulses. The speckle patterns from a processing point were monitored with a high-speed camera and analyzed with a deep neural network. The deep neural network enabled us to extract multiple information from the speckle pattern without a need for analytical formulation. The trained neural network was able to predict the ablation depth with an uncertainty of 2 \micron, as well as the material under processing, which will be useful for composite material processing.
