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Design and Simulation Analysis of an Intelligent Deck Paint Removal Robot for Ships

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DOI: 10.23977/autml.2026.070104 | Downloads: 1 | Views: 119

Author(s)

Jinghong Yao 1, Rujin Lv 1, Xianchao Zhang 1, Junshu Chen 1, Jiaxin Lin 1, Yuan Liao 1, Hui Jiao 1

Affiliation(s)

1 School of Mechanical and Electrical Engineering, Guilin University of Electronic Science and Technology, Guilin, 541004, Guangxi Zhuang Autonomous Region, China

Corresponding Author

Rujin Lv

ABSTRACT

To address the long-standing challenges of low efficiency, severe pollution, and high costs in the ship deck paint removal industry, this study proposes a design for an intelligent paint removal robot tailored to ship deck applications, based on an analysis of paint layer types and their properties. The robot integrates a locomotion unit, recognition unit, paint removal unit, and waste paint recovery unit, enabling integrated operations for deck paint removal and recycling. Additionally, a spring-based flexible structure is designed to control the height between the electromagnetic heating module and the paint surface, ensuring adaptability to ship decks with varying curvatures while maintaining an optimal removal distance. The system's reliability is validated through computational modeling and simulation analysis. This research contributes to reducing labor intensity in paint removal processes and advancing the development of the ship deck paint removal industry.

KEYWORDS

Ship deck; Paint removal robot; Paint removal and recovery; Height-adjustment structure

CITE THIS PAPER

Jinghong Yao, Rujin Lv, Xianchao Zhang, Junshu Chen, Jiaxin Lin, Yuan Liao, Hui Jiao. Design and Simulation Analysis of an Intelligent Deck Paint Removal Robot for Ships. Automation and Machine Learning (2026). Vol. 7, No. 1, 31-37. DOI: http://dx.doi.org/10.23977/autml.2026.070104.

REFERENCES

[1] Meng Qingchun, Qi Yong, Zhang Shujun, et al. Intelligent robots and their development [J]. Journal of Ocean University of China (Natural ScienceEdition),2004,(05):831-838.DOI: 10.16441/j.cnki.hdxb.2004.05.025.
[2] Tao Yong, Wang Tianmiao, Liu Hui, et al. Thoughts and suggestions on the current situation and development trend of intelligent robots [J]. High Technology Communications, 2019, 29(02): 149-163.
[3] Cai Hegao. Robots will be a hot spot in technological development in the 21st century [J]. China Mechanical Engineering, 2000, (Z1): 67-69 + 4.
[4] Ren Foji, Sun Xiao. The current situation and development of intelligent robots [J]. Science and Technology Review, 2015, 33(21): 32-38.
[5] Peng Xingning, Xu Xiangdong. Design of deck structure under wheel load [J]. Ship Engineering, 2000, (02): 26-29 + 66.
[6] Li Quanyong. Review and prospect of mechanical structure optimization design [J]. Journal of Guilin Electronic Institute, 2000, (04): 114-119. DOI: 10.16725/j.cnki.cn45-1351/tn.2000.04.024.
[7] Xu Yanshen, Zhang Xueling. Static and dynamic performance optimization design of mechanical structure based on finite element analysis [J]. Precision Manufacturing and Automation, 2003, (S1): 56-58 + 5. DOI: 10.16371/j.cnki.issn1009-962x.2003.s1.022.
[8] Chen Xin, Chen Xindu, Qin Ye, et al. Several key technologies of mechanical structure dynamic design [J]. China Mechanical Engineering, 1997, (05): 104-108.
[9] Chen Shuxun, Li Weilong. A practical method for mechanical structure optimization design [J]. Mechanical Design, 2003, (01): 41-43. DOI: 10.13841/j.cnki.jxsj.2003.01.011.
[10] Chen Xin, Sun Qinghong, He Jie, et al. Research on the dynamic design method of mechanical structure based on virtual environment [J]. Manufacturing Automation, 2000, (12): 36-38.

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