Effect of Process Parameters on Weld Spatter in Robotic Welding

Author:

Shareef Iqbal,Martin Christopher

Publisher

Elsevier BV

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering

Reference27 articles.

1. Observation of arc start instability and spatter generation in GMAW;Ersoy;Welding Journal,2008

2. Vision-based spatter classification for contaminant detection;Schwab;Welding Journal,2009

3. Spatter rate estimation in the short circuit transfer region of GMAW;Kang;Welding Journal,2003

4. Study on the mechanism of spatter produced by basic welding electrodes;Chen;Welding Journal-Including Welding Research Supplement,1996

5. A review on optimization of MIG Welding parameters using Taguchi’s DOE method;Chavda;International Journal of Engineering and Management Research,2014

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

2. Visual Inspection and Non-Destructive Test (NDT) on ASTM A36 Welded Joints Produced by GMAW;International Journal of Integrated Engineering;2024-08-12

3. A Novel Multimodal Approach for Gas Metal Arc Welding Quality Control;2024 International Conference on Control, Automation and Diagnosis (ICCAD);2024-05-15

4. Analysis of electric flux arc welding parameters influence using visual X-ray inspection;Materials Today: Proceedings;2023

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