Changcai Cun
Papers
1
Total Citations
6
H-Index
1
About
Changcai Cun is a researcher whose work bridges intelligent manufacturing and precision engineering, with a primary focus on robotic grinding and surface quality prediction for complex materials. His key research areas include data-driven modeling, optimization algorithms, and process parameter control in automated stone fabrication. Cun’s most notable contribution is the development of an improved whale optimization algorithm combined with support vector regression (IWOA-SVR), a novel framework that accurately predicts surface roughness in special-shaped stone during robotic grinding. This work, published in 2022, has already garnered 6 citations, demonstrating its early impact in advancing adaptive manufacturing processes. By enabling real-time adjustment of grinding parameters, his research directly addresses the challenge of stabilizing quality in geometrically complex workpieces—a critical need in high-precision stone processing industries. Cun’s approach exemplifies how machine learning can optimize traditional manufacturing, offering a pathway to reduce waste and enhance efficiency. His achievements mark him as an emerging voice in smart manufacturing, with potential to influence broader applications in automated material finishing and robotic process control.
Research Focus
Key Achievements
Top Papers
- 1