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| Content Provider | Springer Nature Link |
|---|---|
| Author | Chen, Bo Tan, Caiwang Feng, Jicai |
| Copyright Year | 2015 |
| Abstract | To control the underwater wet welding quality, an arc sensor was used to obtain electrical information of underwater wet welding, and the information was analyzed to find the characteristics that could reflect the arc stability. Short-circuit time and frequency distributions were compared between underwater wet weld and CO2 weld; sensitivity analysis method was used to find the factors that influenced the welding quality. Experiment results showed that the arc stability of underwater wet weld was worse than CO2 weld, and arc voltage and weld speed played important roles in underwater wet weld quality. Sensitivity model for underwater wet weld arc stability was constructed; factors that had important influences on underwater wet welding quality were investigated, and this laid the foundation for controlling the underwater wet welding process quality. |
| Starting Page | 557 |
| Ending Page | 564 |
| Page Count | 8 |
| File Format | |
| ISSN | 02683768 |
| Journal | The International Journal of Advanced Manufacturing Technology |
| Volume Number | 86 |
| Issue Number | 1-4 |
| e-ISSN | 14333015 |
| Language | English |
| Publisher | Springer London |
| Publisher Date | 2015-12-16 |
| Publisher Place | London |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Underwater wet welding Arc characteristics Weld automation Weld sensor Industrial and Production Engineering Production Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design |
| Content Type | Text |
| Resource Type | Article |
| Subject | Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software |
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