Yao SHANG
Papers
1
Total Citations
2
H-Index
1
About
Yao Shang is a researcher specializing in precision optical manufacturing and robotic polishing technologies, with a particular focus on difficult-to-machine materials such as M-ZnS (zinc sulfide). Their major contribution lies in developing and validating a modified material removal function model for robotic polishing of M-ZnS optical components, addressing the critical challenge of achieving high-precision, low-cost, and scalable production. By integrating finite element analysis and numerical simulation, Shang established a pressure distribution model for the polishing pad and derived an accurate pressure distribution function through curve fitting. The resulting removal function model demonstrated a central relative deviation of less than 8% from experimental data, confirming its effectiveness. Shang further optimized key process parameters using single-factor experiments, identifying recommended parameters for a 10 mm asphalt pad: pressure of 0.12–0.18 MPa and a rotational speed ratio of 200/-10. This work, published in 2024 with 2 citations, provides a foundational framework for advancing robotic polishing of infrared optical materials, offering practical guidance for both researchers and engineers in precision optics manufacturing.
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