Ziling Wang
Papers
6
Total Citations
34
H-Index
5
About
Ziling Wang is an emerging researcher specializing in robotic manufacturing, precision machining, and intelligent process control, with a particular focus on the automated grinding and finishing of complex aeronautical components. His work addresses one of aerospace engineering's most demanding challenges: achieving high-precision surface profiles on turbine and compressor blades, components whose geometric accuracy is directly tied to aero engine performance and efficiency. Wang's most notable contributions center on developing sophisticated computational frameworks for robotic belt grinding systems. His research spans toolpath optimization, force control strategies, and tool axis vector calibration — all tailored to the intrinsic complexities of freeform blade geometries characterized by thin walls, high curvature variation, and significant bending. His 2024 optimization framework for compressor blade leading edges and his region-based force control strategy for 7-axis robotic systems demonstrate a methodical approach to bridging theoretical modeling with practical manufacturing outcomes. More recently, his adoption of model predictive control and point-cloud-driven methods reflects a forward-looking integration of data-driven techniques into robotic grinding workflows. Accumulating approximately 34 citations across six papers published between 2022 and 2025, Wang is establishing a focused and productive research trajectory that offers valuable tools for advancing the automation of precision aerospace manufacturing.
Research Focus
Key Achievements
Top Papers
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