Papers
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Total Citations
7
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About
Dr. Jie Cui is a leading researcher in intelligent manufacturing and robotic coating technologies, with a particular focus on optimizing automated spraying processes for large-scale industrial applications. Her most notable contribution is the development of a variable velocity coating thickness distribution model for super-large planar robot spraying, published in 2023. This work addresses a critical challenge in shipbuilding and aerospace manufacturing: the uneven film thickness that occurs during the acceleration and deceleration phases of z-shaped spray trajectories on massive plane segments. By proposing a dynamic optimization method for spray gun flow, Dr. Cui’s model significantly improves coating uniformity and material efficiency, directly enhancing quality control in heavy industry. Although her highly cited paper has garnered 7 citations to date, its practical implications for reducing waste and rework in automated painting systems are substantial. Dr. Cui’s research bridges robotics, fluid dynamics, and manufacturing engineering, offering scalable solutions for smart factories. Her work is particularly valuable for engineers and researchers developing precision coating systems for large structures, where even minor thickness variations can compromise durability and performance.
Research Focus
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Top Papers
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