Intelligent Control Mechanism for Underwater Wet Welding

Joshua Emuejevoke Omajene; Paul Kah; Huapeng Wu; Jukka Martikainen; Christopher Okechukwu Izelu

doi:doi:10.11648/j.ijmea.20150304.11

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Intelligent Control Mechanism for Underwater Wet Welding

Joshua Emuejevoke Omajene, Paul Kah, Huapeng Wu, Jukka Martikainen, Christopher Okechukwu Izelu

Published in International Journal of Mechanical Engineering and Applications (Volume 3, Issue 4)

Received: 1 July 2015 Accepted: 10 July 2015 Published: 21 July 2015

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Abstract

It is important to achieve high quality weld in underwater welding as it is vital to the integrity of the structures used in the offshore environment. Due to the difficulty in ensuring sound welds as it relates to the weld bead geometry, it is important to have a robust control mechanism that can meet this need. This work is aimed at designing a control mechanism for underwater wet welding which can control the welding process to ensure the desired weld bead geometry is achieved. Obtaining optimal bead width, penetration and reinforcement are essential parameters for the desired bead geometry. The method used in this study is the use of a control system that utilizes a combination of fuzzy and PID controller in controlling flux cored arc welding process. The outcome will ensure that optimal weld bead geometry is achieved as welding is being carried out at different water depth in the offshore environment. The result for the hybrid fuzzy-PID gives a satisfactory outcome of overshoot, rise time and steady error. This will lead to a robust welding system for oil and gas companies and other companies that carry out repair welding or construction welding in the offshore.

Published in	International Journal of Mechanical Engineering and Applications (Volume 3, Issue 4)
DOI	10.11648/j.ijmea.20150304.11
Page(s)	50-56
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Control System, Bead Geometry, Fuzzy Logic, Process Parameter, Underwater Welding

References

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[3]	H. T. Zhang, X. Y. DAI, J. C. FENG & L. L. HU, "Preliminary investigation on real time induction heating assisted underwater wet welding," Welding research , vol. 94, pp. 8-15, 2015.
[4]	J. Labanowski, "Development of Underwater Welding Techniques," Welding International, vol. 25, pp. 933-937, 2011.
[5]	Yara H., Makishi Y., Kikuta Y., & Matsuda F., "Mechanical and metallurgical properties of an experimental covered electrode for wet underwater welding," Welding International, vol. 1, pp. 835-839, 1987.
[6]	Liu S., Olsen D. L., & Ibarra S. J., "Designing shielded metal arc consumables for underwater wet welding in offshore applications," Journal of Offshore Mechanica and Arctic Engineering, vol. 117, pp. 212-220, 1995.
[7]	Kononenko V. Y., "Mechanised welding with self-shielding flux-cored wires for repairing hydraulic installations and vessels in underwater," Welding International , vol. 10, pp. 994-997, 1996.
[8]	Jia C. B. , Zhang T., Maksimov S. Y., & Yuan X., "Spectroscopic analysis of the arc plasma of underwater wet flux-cored arc welding," Journal of Materials Processing Technology, vol. 213, pp. 1370-1377, 2013.
[9]	Brown R. T. &. Masubuchi K., "Effects of water environment on metallurgical structures of welds," Welding Research Supplement, pp. 178-188, 1975.
[10]	Liu S. & Olsen D., "Underwater welding," ASM International, vol. 6, pp. 1010-1015, 1993.
[11]	Chon L. Tsai, Baojian Liao, David A. Clukey & Josept. S. Breeding., "Development of a Microprocessor based Tracking and Operation Guidance System for Underwater Welding," Ohio State University, Ohio, 2000.
[12]	Sinthipsomboon K. et al., "http://cdn.intechopen.com/pdfs/39444/A hybrid of fuzzy and fuzzy self tuning pid controller for servo electro hydraulic system," INTECH, pp. 1-16, 2012.
[13]	"Tribal Engineering," [Online]. Available: http://www.tribalengineering.com/technology/fuzzy-ictl.aspx. [Accessed 9 February 2015].
[14]	Ion Iancu & Mihai Gabroveanu, "Fuzzy logic controller based on association rules," Annals of the University of Craiova, Mathematics and Computer Science Series, vol. 37, no. 3, pp. 12-21, 2010.
[15]	Parnichkun M. & Ngaecharoenkul C., "Hybrid of fuzzy and PID in kinematics control of a pneumatic system," in Industrial Electronics Society 26th Annual Confjerence of the IEEE, Thailand, 2000.
[16]	Pornjit Pratumsuwan, Siripun Thongchai & Surapun Tansriwong "A Hybrid of Fuzzy and Proportional-Integral-Derivative Controller for Electro-Hydraulic Position Servo System," Energy Research Journal, vol. 1, no. 2, pp. 62-67, 2010.
[17]	Majid Ali, Majid Ali, Saifullah Khan, Muhammad Waleed & Islamuddin,"Application of an Intelligent Self-Tuning Fuzzy PID Controller on DC-DC Buck Converter," International Journal of Advanced Science and Technology, vol. 48, pp. 139-148, 2012.

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APA Style

Joshua Emuejevoke Omajene, Paul Kah, Huapeng Wu, Jukka Martikainen, Christopher Okechukwu Izelu. (2015). Intelligent Control Mechanism for Underwater Wet Welding. International Journal of Mechanical Engineering and Applications, 3(4), 50-56. https://doi.org/10.11648/j.ijmea.20150304.11

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ACS Style

Joshua Emuejevoke Omajene; Paul Kah; Huapeng Wu; Jukka Martikainen; Christopher Okechukwu Izelu. Intelligent Control Mechanism for Underwater Wet Welding. Int. J. Mech. Eng. Appl. 2015, 3(4), 50-56. doi: 10.11648/j.ijmea.20150304.11

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AMA Style

Joshua Emuejevoke Omajene, Paul Kah, Huapeng Wu, Jukka Martikainen, Christopher Okechukwu Izelu. Intelligent Control Mechanism for Underwater Wet Welding. Int J Mech Eng Appl. 2015;3(4):50-56. doi: 10.11648/j.ijmea.20150304.11

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@article{10.11648/j.ijmea.20150304.11,
  author = {Joshua Emuejevoke Omajene and Paul Kah and Huapeng Wu and Jukka Martikainen and Christopher Okechukwu Izelu},
  title = {Intelligent Control Mechanism for Underwater Wet Welding},
  journal = {International Journal of Mechanical Engineering and Applications},
  volume = {3},
  number = {4},
  pages = {50-56},
  doi = {10.11648/j.ijmea.20150304.11},
  url = {https://doi.org/10.11648/j.ijmea.20150304.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmea.20150304.11},
  abstract = {It is important to achieve high quality weld in underwater welding as it is vital to the integrity of the structures used in the offshore environment. Due to the difficulty in ensuring sound welds as it relates to the weld bead geometry, it is important to have a robust control mechanism that can meet this need. This work is aimed at designing a control mechanism for underwater wet welding which can control the welding process to ensure the desired weld bead geometry is achieved. Obtaining optimal bead width, penetration and reinforcement are essential parameters for the desired bead geometry. The method used in this study is the use of a control system that utilizes a combination of fuzzy and PID controller in controlling flux cored arc welding process. The outcome will ensure that optimal weld bead geometry is achieved as welding is being carried out at different water depth in the offshore environment. The result for the hybrid fuzzy-PID gives a satisfactory outcome of overshoot, rise time and steady error. This will lead to a robust welding system for oil and gas companies and other companies that carry out repair welding or construction welding in the offshore.},
 year = {2015}
}

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TY  - JOUR
T1  - Intelligent Control Mechanism for Underwater Wet Welding
AU  - Joshua Emuejevoke Omajene
AU  - Paul Kah
AU  - Huapeng Wu
AU  - Jukka Martikainen
AU  - Christopher Okechukwu Izelu
Y1  - 2015/07/21
PY  - 2015
N1  - https://doi.org/10.11648/j.ijmea.20150304.11
DO  - 10.11648/j.ijmea.20150304.11
T2  - International Journal of Mechanical Engineering and Applications
JF  - International Journal of Mechanical Engineering and Applications
JO  - International Journal of Mechanical Engineering and Applications
SP  - 50
EP  - 56
PB  - Science Publishing Group
SN  - 2330-0248
UR  - https://doi.org/10.11648/j.ijmea.20150304.11
AB  - It is important to achieve high quality weld in underwater welding as it is vital to the integrity of the structures used in the offshore environment. Due to the difficulty in ensuring sound welds as it relates to the weld bead geometry, it is important to have a robust control mechanism that can meet this need. This work is aimed at designing a control mechanism for underwater wet welding which can control the welding process to ensure the desired weld bead geometry is achieved. Obtaining optimal bead width, penetration and reinforcement are essential parameters for the desired bead geometry. The method used in this study is the use of a control system that utilizes a combination of fuzzy and PID controller in controlling flux cored arc welding process. The outcome will ensure that optimal weld bead geometry is achieved as welding is being carried out at different water depth in the offshore environment. The result for the hybrid fuzzy-PID gives a satisfactory outcome of overshoot, rise time and steady error. This will lead to a robust welding system for oil and gas companies and other companies that carry out repair welding or construction welding in the offshore.
VL  - 3
IS  - 4
ER  -

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Author Information

Joshua Emuejevoke Omajene

LUT Mechanical Engineering, Lappeenranta University of Technology, Lappeenranta, Finland
Paul Kah

LUT Mechanical Engineering, Lappeenranta University of Technology, Lappeenranta, Finland
Huapeng Wu

LUT Mechanical Engineering, Lappeenranta University of Technology, Lappeenranta, Finland
Jukka Martikainen

LUT Mechanical Engineering, Lappeenranta University of Technology, Lappeenranta, Finland
Christopher Okechukwu Izelu

Department of Mechanical Engineering, College of Technology, Federal University of Petroleum Resources, Effurun, Delta State, Nigeria

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APA Style

Joshua Emuejevoke Omajene, Paul Kah, Huapeng Wu, Jukka Martikainen, Christopher Okechukwu Izelu. (2015). Intelligent Control Mechanism for Underwater Wet Welding. International Journal of Mechanical Engineering and Applications, 3(4), 50-56. https://doi.org/10.11648/j.ijmea.20150304.11

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ACS Style

Joshua Emuejevoke Omajene; Paul Kah; Huapeng Wu; Jukka Martikainen; Christopher Okechukwu Izelu. Intelligent Control Mechanism for Underwater Wet Welding. Int. J. Mech. Eng. Appl. 2015, 3(4), 50-56. doi: 10.11648/j.ijmea.20150304.11

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AMA Style

Joshua Emuejevoke Omajene, Paul Kah, Huapeng Wu, Jukka Martikainen, Christopher Okechukwu Izelu. Intelligent Control Mechanism for Underwater Wet Welding. Int J Mech Eng Appl. 2015;3(4):50-56. doi: 10.11648/j.ijmea.20150304.11

Copy | Download

@article{10.11648/j.ijmea.20150304.11,
  author = {Joshua Emuejevoke Omajene and Paul Kah and Huapeng Wu and Jukka Martikainen and Christopher Okechukwu Izelu},
  title = {Intelligent Control Mechanism for Underwater Wet Welding},
  journal = {International Journal of Mechanical Engineering and Applications},
  volume = {3},
  number = {4},
  pages = {50-56},
  doi = {10.11648/j.ijmea.20150304.11},
  url = {https://doi.org/10.11648/j.ijmea.20150304.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmea.20150304.11},
  abstract = {It is important to achieve high quality weld in underwater welding as it is vital to the integrity of the structures used in the offshore environment. Due to the difficulty in ensuring sound welds as it relates to the weld bead geometry, it is important to have a robust control mechanism that can meet this need. This work is aimed at designing a control mechanism for underwater wet welding which can control the welding process to ensure the desired weld bead geometry is achieved. Obtaining optimal bead width, penetration and reinforcement are essential parameters for the desired bead geometry. The method used in this study is the use of a control system that utilizes a combination of fuzzy and PID controller in controlling flux cored arc welding process. The outcome will ensure that optimal weld bead geometry is achieved as welding is being carried out at different water depth in the offshore environment. The result for the hybrid fuzzy-PID gives a satisfactory outcome of overshoot, rise time and steady error. This will lead to a robust welding system for oil and gas companies and other companies that carry out repair welding or construction welding in the offshore.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Intelligent Control Mechanism for Underwater Wet Welding
AU  - Joshua Emuejevoke Omajene
AU  - Paul Kah
AU  - Huapeng Wu
AU  - Jukka Martikainen
AU  - Christopher Okechukwu Izelu
Y1  - 2015/07/21
PY  - 2015
N1  - https://doi.org/10.11648/j.ijmea.20150304.11
DO  - 10.11648/j.ijmea.20150304.11
T2  - International Journal of Mechanical Engineering and Applications
JF  - International Journal of Mechanical Engineering and Applications
JO  - International Journal of Mechanical Engineering and Applications
SP  - 50
EP  - 56
PB  - Science Publishing Group
SN  - 2330-0248
UR  - https://doi.org/10.11648/j.ijmea.20150304.11
AB  - It is important to achieve high quality weld in underwater welding as it is vital to the integrity of the structures used in the offshore environment. Due to the difficulty in ensuring sound welds as it relates to the weld bead geometry, it is important to have a robust control mechanism that can meet this need. This work is aimed at designing a control mechanism for underwater wet welding which can control the welding process to ensure the desired weld bead geometry is achieved. Obtaining optimal bead width, penetration and reinforcement are essential parameters for the desired bead geometry. The method used in this study is the use of a control system that utilizes a combination of fuzzy and PID controller in controlling flux cored arc welding process. The outcome will ensure that optimal weld bead geometry is achieved as welding is being carried out at different water depth in the offshore environment. The result for the hybrid fuzzy-PID gives a satisfactory outcome of overshoot, rise time and steady error. This will lead to a robust welding system for oil and gas companies and other companies that carry out repair welding or construction welding in the offshore.
VL  - 3
IS  - 4
ER  -

Copy | Download