Zhaojie Wu

Papers

Total Citations

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About

Zhaojie Wu is a leading researcher in the field of robotic spray coating, with a focus on the fluid dynamics and process optimization of airless and air spraying technologies. Their work addresses critical challenges in achieving high-quality, uniform coatings on complex surfaces—a key requirement in automotive, aerospace, and manufacturing industries. Wu’s major contributions include pioneering the development of a film formation model based on computational fluid dynamics (CFD) theory, which enables accurate thickness prediction for airless spraying robots. They also introduced a multi-scale hybrid Euler–Lagrange model for simulating the paint atomization process, overcoming a significant barrier in the numerical simulation of the entire spraying workflow. With over 30 citations across their most notable papers, Wu’s research has direct implications for intelligent spray gun trajectory planning and coating quality improvement. Their 2023 review on airless spraying mechanisms for complex surfaces has become a foundational reference in the field, highlighting their role in advancing both theoretical understanding and practical robotic applications.