Two-stage fusion framework driven by domain knowledge for penetration prediction of laser welding-Reference-Cited by-同舟云学术

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Two-stage fusion framework driven by domain knowledge for penetration prediction of laser welding

Published:2024-12 Issue: Volume:179 Page:111287
ISSN:0030-3992
Container-title:Optics & Laser Technology
language:en
Short-container-title:Optics & Laser Technology

Author:

Li Jie,Zhang Yi,Xu Yuewen^ORCID,Chen Cong^ORCID

Publisher

Elsevier BV

Reference33 articles.

1. Toward understanding the fractured mechanism in laser welded–brazed Al/steel interface by in-situ SEM tensile observations;Xia;J. Mater. Process. Technol.,2024

2. Effect of pulsed laser energy on grain morphology and texture characteristics of stainless steel fabricated by laser PTA additive manufacturing;Cai;Opt. Laser Technol.,2023

3. Analysis of laser-beam absorptance and keyhole behavior during laser keyhole welding of aluminum alloy using a deep-learning-based monitoring system;Kim;J. Manuf. Process.,2022

4. Recognition of penetration state in GTAW based on vision transformer using weld pool image;Wang;Opt. Laser Technol.,2023

5. Improvement of laser welded TC4/CFRTP joint strength by combination of surface modification of MAO and laser texturing;Xia;Thin Wall Struct.,2024

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Penetration State Recognition during Laser Welding Process Control Based on Two-Stage Temporal Convolutional Networks;Materials;2024-09-10

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