Runfeng Zhang
Papers
1
Total Citations
10
H-Index
1
About
Dr. Runfeng Zhang is a leading researcher in intelligent mining equipment and digital twin technology, with a primary focus on boom-type roadheaders used in coal mining. His most cited work, "Research on the 'shape-performance-control' integrated digital twin system for boom-type roadheaders" (2024, 10 citations), addresses critical challenges in real-time mechanical performance monitoring and adaptive cutting during dynamic mining processes. Dr. Zhang's major contribution lies in developing an integrated digital twin framework that combines shape monitoring, performance evaluation, and control optimization, enabling more efficient and safer autonomous operations in underground environments. This innovative system represents a significant advancement in smart mining, bridging the gap between physical machinery and virtual simulation for real-time decision-making. While his citation count is still growing, reflecting the recent publication of his work, Dr. Zhang's research has already attracted attention for its practical implications in improving cutting efficiency and reducing equipment wear. His work is particularly notable for its interdisciplinary approach, merging mechanical engineering, data science, and control systems to transform traditional mining practices into data-driven, intelligent operations.
Research Focus
Key Achievements
Top Papers
- 1