Changjun Xie
Papers
1
Total Citations
10
H-Index
1
About
Changjun Xie is a researcher specializing in robotics, trajectory optimization, and advanced manufacturing processes, with a particular focus on thermal barrier coatings for complex geometries. His work addresses critical challenges in automating the deposition of protective coatings onto free-form components, a key requirement in industries such as aerospace and energy. Xie’s most-cited paper, "A Robot Trajectory Optimization Approach for Thermal Barrier Coatings Used for Free-Form Components" (2017), has garnered 10 citations, demonstrating its foundational role in improving coating uniformity and efficiency through intelligent path planning. This contribution bridges robotics and materials science, offering practical solutions for high-value manufacturing. Beyond this, Xie’s research explores the intersection of automation and surface engineering, aiming to enhance the durability and performance of components under extreme conditions. His work is notable for its direct industrial applicability, providing a framework for optimizing robot motion to achieve precise coating thickness on irregular surfaces. For students and researchers, Xie’s contributions highlight the growing importance of computational methods in manufacturing, showcasing how trajectory optimization can reduce waste and improve quality in thermal barrier coating processes.
Research Focus
Key Achievements
Top Papers
- 1