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

黄宏星 ¹吴頔 ¹曾达 ¹彭彪 ²孙涛 ³张培磊 ¹史海川¹

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作者信息

1. 上海工程技术大学,材料科学与工程学院,上海,201620;上海市激光先进制造技术协同创新中心,上海,201620
2. 泰尔智慧(上海)激光科技有限公司,上海,201100
3. 广东粤港澳大湾区硬科技创新研究院,广州,510535
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摘要

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.

Abstract

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 in-situ 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.

关键词

动力电池/可调环模激光焊/光学相干断层扫描/飞溅评价/深度学习

Key words

power battery/adjustable ring mode laser welding/optical coherence tomography/spatter evaluation/deep learning

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出版年

2024

焊接学报

中国机械工程学会　中国机械工程学会焊接学会　机械科学研究院哈尔滨焊接研究所

焊接学报

CSTPCD北大核心

影响因子：0.815

ISSN：0253-360X

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