Guichun Yang

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About

Guichun Yang is a researcher whose work sits at the intersection of computational fluid dynamics and advanced manufacturing, with a primary focus on the modeling and optimization of spray coating processes. His most significant contribution lies in developing a novel film formation model for airless spraying robots, which he detailed in his highly cited 2022 paper. By leveraging CFD theory, Yang created a numerical simulation method capable of accurately predicting paint film thickness—a critical parameter for quality control in automated industrial painting. This work, which has already garnered 10 citations, provides a robust theoretical foundation for simulating the complex spraying flow field and film formation dynamics, directly addressing a long-standing challenge in robotic coating applications. His research not only advances the fundamental understanding of spray physics but also offers practical tools for improving efficiency and consistency in manufacturing. Yang’s achievements are particularly notable for bridging the gap between theoretical fluid dynamics and real-world robotic applications, making his work essential reading for engineers and researchers working on surface finishing technologies.