Spatter feature analysis in laser welding based on motion tracking method-Reference-Cited by-同舟云学术

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Spatter feature analysis in laser welding based on motion tracking method

Published:2020-07 Issue: Volume:55 Page:220-229
ISSN:1526-6125
Container-title:Journal of Manufacturing Processes
language:en
Short-container-title:Journal of Manufacturing Processes

Author:

Huang Ye,Hua Xueming,Li Fang^ORCID,Shen Chen^ORCID,Mou Gang,Tang Bin

Funder

Ministry of Industry and Information Technology of China

Research and Application of Materials for Membrane-Type (MARK III Type) Containment System

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Reference24 articles.

1. Keyhole stability during laser welding—Part II: process pores and spatters;Volpp;Production Engineering,2016

2. Spatter Feature Recognition during High-Power Disk Laser Welding;You;Advanced Materials Research,2011

3. Elucidation of melt flows and spatter formation mechanisms during high power laser welding of pure titanium;Nakamura;Journal of Laser Applications,2015

4. Observation of spatter formation mechanisms in high-power fiber laser welding of thick plate;Zhang;Applied Surface Science,2013

5. Numerical simulation of spatter formation during fiber laser welding of 5083 aluminum alloy at full penetration condition;Wu;Optics & Laser Technology,2018

Cited by 27 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. Plume active control in high-power fiber laser welding based on high-speed shielding gas microbeam;Optics & Laser Technology;2025-01

2. Numerical and experimental study on spatter in oscillating laser-arc hybrid welding of aluminum alloy;Journal of Materials Processing Technology;2024-11

3. Machine learning-based in-process monitoring for laser deep penetration welding: A survey;Engineering Applications of Artificial Intelligence;2024-11

4. Real-time tracking method for motion spatter in high-power laser welding of stainless steel plate based on a lightweight deep learning model;Expert Systems with Applications;2024-11

5. A novel multi-loss dynamic fusion-enhanced image segmentation model for welding spatter measurement;Journal of Manufacturing Processes;2024-10

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