Fankang Meng

Papers

Total Citations

H-Index

About

Fankang Meng is a researcher specializing in intelligent manufacturing and precision machining, with a particular focus on adaptive belt grinding technologies for complex aerospace components. His work addresses critical challenges in automating the finishing of aero-engine blades, which require high precision and surface quality. Meng’s most cited paper, “Interactive Strategy for Adaptive Belt Grinding Heterogeneous Data for an Aero-Engine Blade” (2019), proposes an innovative method integrating CNC belt grinding machines, robots, coordinate measuring machines, and digital silos to overcome data fragmentation—or “informational islanding”—in multi-device manufacturing systems. This approach enables real-time adaptation and quality control during grinding, significantly improving blade consistency and reducing manual intervention. While his citation count is currently modest, his contributions are foundational to the growing field of cyber-physical production systems for high-value aerospace parts. Meng’s work exemplifies the convergence of robotics, metrology, and data-driven process optimization, offering a practical pathway toward fully automated, intelligent blade finishing. His research is particularly relevant for engineers and students seeking to understand how heterogeneous data integration can enhance precision in adaptive manufacturing.