Siyao Mi
Papers
4
Total Citations
35
H-Index
3
About
Siyao Mi is a leading researcher in intelligent manufacturing and shipbuilding automation, with a focus on robotic spraying systems for large-scale marine structures. Her work addresses critical challenges in shipyard smart factories, particularly in the automation of outer panel coating processes. Mi’s most cited paper, "Intelligent initial model and case design analysis of smart factory for shipyard in China" (2023, 15 citations), establishes foundational frameworks for integrating smart factory principles into shipbuilding. She has made significant contributions to fluid dynamics modeling, developing mathematical models for fan nozzle cavity flow, jet atomization, and equivalent physical entities, as demonstrated in her 2022 study on single nozzle spraying flow fields (11 citations). Her innovative design of a negative pressure vacuum recovery hood, validated through CFD simulation in "Simulation Analysis on Flow Field of Paint Mist Recovery" (2022, 7 citations), directly addresses paint mist pollution in robotic ship hull spraying. Mi’s recent work on wall-climbing robots for large surface spraying (2024) continues to push boundaries in maritime automation. Her research combines theoretical modeling with practical engineering solutions, earning recognition for advancing environmentally sustainable and efficient coating technologies in China’s shipbuilding industry.
Research Focus
Key Achievements
Top Papers
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