Anjie Wang
Papers
1
Total Citations
11
H-Index
1
About
Anjie Wang is a researcher advancing precision manufacturing through intelligent robotic systems, with a primary focus on improving machining accuracy for complex aerospace components. Her most-cited work introduces a novel regional force control strategy integrated with a seven-axis linkage grinding system, directly addressing the challenge of blade surface finishing. This paper, published in 2023 and garnering 11 citations, demonstrates her ability to combine mechanical design with adaptive control algorithms, achieving significant enhancements in machining precision—a critical factor for turbine blade performance and longevity. Wang’s contributions lie at the intersection of robotics, force control, and manufacturing engineering, offering practical solutions for high-value industrial applications. Her research not only pushes the boundaries of automated grinding but also provides a framework for real-time error compensation in multi-axis systems. As an emerging voice in her field, Wang’s work is already influencing subsequent studies on adaptive machining and sensor-integrated toolpaths, marking her as a promising innovator in the drive toward fully autonomous, high-accuracy manufacturing processes.
Research Focus
Key Achievements
Top Papers
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