Zhengyao Yi

Dalian Ocean University

Papers

3

Total Citations

33

H-Index

3

About

Zhengyao Yi is a leading researcher in intelligent manufacturing and robotic coating systems for the shipbuilding industry, with a focus on optimizing automation and environmental sustainability. His major contributions include pioneering the design of a smart factory framework for Chinese shipyards, detailed in his 2023 work on intelligent initial models and case design analysis, which has garnered 15 citations. Yi has also advanced the precision of robotic painting by developing mathematical models for fan nozzle cavity flow and jet atomization, as demonstrated in his 2022 simulation study on single nozzle spraying for large ship outer panels (11 citations). Notably, he addressed the critical challenge of paint mist pollution by designing a negative pressure vacuum recovery hood, validated through CFD simulations, which captures overspray at the nozzle source (7 citations). This innovative approach enhances both coating efficiency and worker safety. Yi’s work, totaling over 33 citations, bridges theoretical fluid dynamics with practical industrial robotics, offering scalable solutions for cleaner, more efficient ship manufacturing. His research is essential reading for engineers and researchers seeking to integrate smart automation and eco-friendly practices in heavy industry.

Research Focus

Key Achievements

3
H-Index
3
Papers
33
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Intelligent initial model and case design analysis of smart factory for shipyard in China
15 citations · 2023
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Dalian Ocean University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago