The objective of this work was to discuss the influence of electrode polarity on bead-on-plate (BOP) welds and re-melt temper bead on the pores behavior in the weld bead section of bead-on-grove (BOG) and bead-on-bead (BOB) welds. The welds were made with E6013 electrode at 50 and 100 meters of water depth. Researchers recommend the use of direct current electrode negative DCEN for wet welding. The justifications are to prevent electrode holder electrolytic corrosion and performance improvement. On the other side, some researchers said that no significant variations should be expected while another researcher affirms that depending on the region (Mexican Golf or North Sea) where the welding will be performed, inverse polarity DCEP produces better results. In this work, a gravity feed welding system was used in a hyperbaric chamber with 200 m pressure capability to simulate the wet welds. Visual analysis, arc stability, porosity and pores location in the weld metal enable to evaluate the polarity influence. The results showed significant differences between the two polarities. DCEP produced better bead appearance and higher arc stability than DCEN. Consequently it presented less porosity and best porosity location than DCEN. Additionally, it is was observe that in multi-pass welds (BOG and BOP) the weld bead made previously is partially “re-melted” by the following bead and the pores were in this region were removed or significantly reduced. It is believed then that pores position in the weld section is important information in such welds.
Skip Nav Destination
ASME 2004 23rd International Conference on Offshore Mechanics and Arctic Engineering
June 20–25, 2004
Vancouver, British Columbia, Canada
Conference Sponsors:
- Ocean, Offshore, and Arctic Engineering Division
ISBN:
0-7918-3744-0
PROCEEDINGS PAPER
Study of “Re-Melt” Temper Bead and Polarity Effects on Porosity in the Under Freshwater Wet Welds
Ezequiel C. P. Pessoa,
Ezequiel C. P. Pessoa
Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
Search for other works by this author on:
Alexandre Q. Bracarense,
Alexandre Q. Bracarense
Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
Search for other works by this author on:
Stephen Liu,
Stephen Liu
Colorado School of Mines, Golden, CO
Search for other works by this author on:
Faustino Peres
Faustino Peres
Colorado School of Mines, Golden, CO
Search for other works by this author on:
Ezequiel C. P. Pessoa
Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
Alexandre Q. Bracarense
Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
Stephen Liu
Colorado School of Mines, Golden, CO
Faustino Peres
Colorado School of Mines, Golden, CO
Paper No:
OMAE2004-51037, pp. 681-687; 7 pages
Published Online:
December 22, 2008
Citation
Pessoa, ECP, Bracarense, AQ, Liu, S, & Peres, F. "Study of “Re-Melt” Temper Bead and Polarity Effects on Porosity in the Under Freshwater Wet Welds." Proceedings of the ASME 2004 23rd International Conference on Offshore Mechanics and Arctic Engineering. 23rd International Conference on Offshore Mechanics and Arctic Engineering, Volume 2. Vancouver, British Columbia, Canada. June 20–25, 2004. pp. 681-687. ASME. https://doi.org/10.1115/OMAE2004-51037
Download citation file:
4
Views
Related Proceedings Papers
Related Articles
Designing Shielded Metal Arc Consumables for Underwater Wet Welding in Offshore Applications
J. Offshore Mech. Arct. Eng (August,1995)
Monte Carlo Investigation of Particle Properties Affecting TPB Formation and Conductivity in Composite Solid Oxide Fuel Cell Electrode-Electrolyte Interfaces
J. Fuel Cell Sci. Technol (October,2011)
Thermal Science of Weld Bead Defects: A Review
J. Heat Transfer (March,2011)
Related Chapters
Completing the Picture
Air Engines: The History, Science, and Reality of the Perfect Engine
Fractal Analysis of CT-Measured Porosity for Claypan Soils
Intelligent Engineering Systems through Artificial Neural Networks
Assessment of CT-Measured Porosity in Russian Soils Using Fractal Dimension and Lacunarity
Intelligent Engineering Systems through Artificial Neural Networks