基于OCT原位测量的可调环模激光焊飞溅定量评价

Quantitative evaluation of spatter in adjustable ring mode laser welding based on In-situ OCT measurement

为了快速准确定量评价金属飞溅以优化工艺和保证焊接质量,采用1060铝合金可调环模(variable beam profile,VBP)激光焊为研究对象,搭建了基于光学相干层析成像(opticalc coherence tomography,OCT)的激光焊匙孔深度原位测量系统,并提出了一种1DCNN-BiLSTM复合深度学习模型,该模型利用两种网络单元的特性对匙孔深度信息进行局部和全局时序特征挖掘,实现了飞溅状态的定量评价.结果表明,该模型的飞溅识别准确率达到99.69%,为VBP激光焊工艺优化和质量控制提供了指导依据和闭环反馈.

In order to quickly and accurately quantitatively evaluate the metal spatter to optimize the process and ensure the welding quality.This study focuses on the variable beam profile(VBP)laser welding process of 1060 aluminum alloy and develops an insitu keyhole depth measurement system based on optical coherence tomography(OCT).An innovative 1DCNN-BiLSTM deep learning composite model is proposed,leveraging the distinct characteristics of the two network units to perform local-global temporal feature extraction,achieving quantitative evaluation of spatter status.Results indicate that the constructed model achieves 99.69%accuracy in identifying spatter status,providing guidance and closed-loop feedback for optimizing the VBP laser welding process and quality control.