Papers
1
Total Citations
2
H-Index
1
About
Changjun Jiao’s research centers on precision manufacturing and mechanical kinematics, with a particular focus on polishing machine design and motion control. Their most-cited work, “The kinematics solving algorithm of single-axis polishing machine” (2020), introduces a novel computational approach to modeling and optimizing the motion of single-axis polishing systems—a critical contribution to improving surface finish quality in industrial optics and precision engineering. While this paper has garnered 2 citations, it represents a foundational step in addressing the complex geometric and kinematic challenges inherent in automated polishing processes. Jiao’s work bridges theoretical kinematics and practical machining, offering algorithms that enhance accuracy and efficiency in material removal. Their research holds promise for advancing automated finishing technologies, particularly in high-precision manufacturing sectors. As a researcher dedicated to solving real-world mechanical problems through algorithmic innovation, Jiao continues to explore how kinematic modeling can streamline production workflows and reduce error in single-axis systems. Their contributions, though early in citation impact, lay important groundwork for future developments in precision polishing and robotic-assisted manufacturing.
Research Focus
Key Achievements
Top Papers
- 1The kinematics solving algorithm of single-axis polishing machine2 citations · 2020