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Autonomous mobile welding robot for discontinuous weld seam recognition and tracking

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Abstract

In shipbuilding, there are many drain holes in the cabin, which lead to the discontinuity of the weld. The existing large welding manipulator cannot move independently and automatically to identify and track this kind of weld seam. At present, this kind of work is mainly done manually. In order to solve this problem, an autonomous mobile welding robot is developed, which can automatically identify all kinds of discontinuous welds seam and complete automatic welding. The tasks, structure, and working principle of welding robot are introduced. The mathematical model of the system is established, and the theoretical analysis and field application verification of related tasks are carried out. The results show that the welding robot can complete the automatic recognition and tracking welding of discontinuous welds seam with high accuracy and efficiency.

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References

  1. Mandal NR (2017) Ship construction and welding [M]. Springer, Singapore

    Book  Google Scholar 

  2. Hossain KA, Zakaria NMG (2017) A study on global shipbuilding growth, trend and future forecast [J]. Procedia Eng 194:247–253

    Article  Google Scholar 

  3. Bruce G (2021) Shipbuilding management. Springer, Singapore, pp 153–162

    Book  Google Scholar 

  4. Feng X, Tian W, Wei R, Pan B, Chen Y, Chen S (2020) Application of a wall-climbing, welding robot in ship automatic welding [J]. J Coast Res 106(SI):609–613

  5. Podgorny A, Rachko E, Beznis Y (2018) Welding manipulators in shipbuilding [J]. 42–45

  6. Hu Y, Meng Z (2019) Bottlenecks in the development of China’s shipbuilding industry and analysis of the development strategy of big to strong Globalization (02)94–104+136. https://doi.org/10.16845/j.cnki.ccieeqqh.2019.02.012

  7. Munín-Doce A, Díaz-Casás V, Trueba P et al (2020) Industrial Internet of Things in the production environment of a Shipyard 4.0[J]. Int J Adv Manuf Technol 108:47–59

  8. Zou C (2019) Motion automation control system of ship assembly robot based on PLC[J]. J Coast Res 93(SI):1006–1012

  9. Rout A, Deepak B, Biswal BB (2019) Advances in weld seam tracking techniques for robotic welding: a review[J]. Robot Comput Integrat Manuf 56:12–37

  10. Kim J, Lee KY, Kim T, Lee S, Lim C, Kang SW (2008) Rail running mobile welding robot ‘RRX3’for double hull ship structure[J]. IFAC Proceedings Volumes 41(2):4292–4297

    Article  Google Scholar 

  11. Kermorgant O (2018) A magnetic climbing robot to perform autonomous welding in the shipbuilding industry[J]. Robot Comput Integr Manuf 53:178–186

    Article  Google Scholar 

  12. Park J, Kim JW, Kim JM, Kim JY, Kim WJ, Kim SH (2014) Development of a portable welding robot for welding jobs in ship blocks [J]. Journal of institute of Control, Robotics and Systems 20(7):760–766. Chinese ship standard, http://www.msckobe.com/links/gb.htm

  13. Li W, He C, Chang J, Wang J, Wu J (2020) Modeling of weld formation in variable groove narrow gap welding by rotating GMAW [J]. J Manuf Process 57:163–173

    Article  Google Scholar 

  14. Kim GH, Na SJ (2001) A study of an arc sensor model for gas metal arc welding with rotating arc Part 2: simulation of an arc sensor in mechanically rotating gas metal arc welding [J]. Proc Inst Mech Eng B J Eng Manuf 215(9):1281–1288

    Article  Google Scholar 

  15. Wang T, Xue Z, Dong X, Xie S (2021) Autonomous intelligent planning method for welding path of complex ship components [J]. Robotica 39(3):428–437

    Article  Google Scholar 

  16. Wang X, Zhou X, Xia Z, Gu X (2021) A survey of welding robot intelligent path optimization [J]. J Manuf Process 63:14–23

    Article  Google Scholar 

  17. Liu HH, Zhao T, Li LY, Liu WJ, Wang TQ, Yue JF (2020) A path planning and sharp corner correction strategy for wire and arc additive manufacturing of solid components with polygonal cross-sections [J]. Int J Adv Manuf Technol 106(11):4879–4889

    Article  Google Scholar 

  18. Le J, Zhang H, Chen X (2017) Right-angle fillet weld tracking by robots based on rotating arc sensors in GMAW [J]. Int J Adv Manuf Technol 93(1):605–616

    Article  Google Scholar 

  19. Mao ZW, Li SY, Ge W, Pan JL, Zhang H (2011) Tracking and technique of large fillet weld seam of mobile welding robot [J]. Trans China Welding Inst 32(2):33–36

    Google Scholar 

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Funding

This work is financially supported by the National Key Research and Development Program of China (2018YFB1305305).

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Hua Zhang guided the progress of the paper, and Liang Guo carried out the design and experiment. All the authors worked together to improve the viewpoint and structure of the paper.

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Correspondence to Liang Guo.

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Guo, L., Zhang, H. Autonomous mobile welding robot for discontinuous weld seam recognition and tracking. Int J Adv Manuf Technol 119, 5497–5509 (2022). https://doi.org/10.1007/s00170-021-08616-9

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  • DOI: https://doi.org/10.1007/s00170-021-08616-9

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