基于光学诊断和人工智能的激光焊接监控技术:综述

IF 4.2 2区 工程技术 Q2 ENGINEERING, MANUFACTURING
Yi-Wei Huang, Xiang-Dong Gao, Perry P. Gao, Bo Ma, Yan-Xi Zhang
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引用次数: 0

摘要

激光焊接是一种高效、精确的连接方法,广泛应用于各行各业。焊接过程的实时监控对于提高焊接产品质量非常重要。本研究概述了激光焊接过程的光学诊断。首先介绍了激光焊接的原理,然后描述了常见的焊接缺陷及其形成机制。光学信号源分为辐射光源和外部主动光源,并对不同的监测系统进行了总结和分类。此外,还总结了人工智能技术在数据处理、焊接缺陷预测和分类以及自适应焊接控制方面的应用。最后,讨论了基于光学诊断的实时激光焊接监控技术的未来研究和挑战。这项研究表明,光学诊断技术可以获取有关激光焊接过程的大量信息,并有助于识别焊接缺陷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Laser welding monitoring techniques based on optical diagnosis and artificial intelligence: a review

Laser welding monitoring techniques based on optical diagnosis and artificial intelligence: a review

Laser welding is an efficient and precise joining method widely used in various industries. Real-time monitoring of the welding process is important for improving the quality of the weld products. This study provides an overview of the optical diagnostics of the laser welding process. The common welding defects and their formation mechanisms are described, starting with an introduction to the principles of laser welding. Optical signal sources are divided into radiated and external active lights, and different monitoring systems are summarized and classified. Also, the applications of artificial intelligence techniques in data processing, weld defect prediction and classification, and adaptive welding control are summarized. Finally, future research and challenges in real-time laser welding monitoring technology based on optical diagnostics are discussed. This study demonstrated that optical diagnostic techniques could acquire substantial information about the laser welding process and help identify welding defects.

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来源期刊
Advances in Manufacturing
Advances in Manufacturing Materials Science-Polymers and Plastics
CiteScore
9.10
自引率
3.80%
发文量
274
期刊介绍: As an innovative, fundamental and scientific journal, Advances in Manufacturing aims to describe the latest regional and global research results and forefront developments in advanced manufacturing field. As such, it serves as an international platform for academic exchange between experts, scholars and researchers in this field. All articles in Advances in Manufacturing are peer reviewed. Respected scholars from the fields of advanced manufacturing fields will be invited to write some comments. We also encourage and give priority to research papers that have made major breakthroughs or innovations in the fundamental theory. The targeted fields include: manufacturing automation, mechatronics and robotics, precision manufacturing and control, micro-nano-manufacturing, green manufacturing, design in manufacturing, metallic and nonmetallic materials in manufacturing, metallurgical process, etc. The forms of articles include (but not limited to): academic articles, research reports, and general reviews.
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