Optics and Precision Engineering, Volume. 32, Issue 15, 2387(2024)

Modeling of removal function and optimization of process parameters for robotic polishing M-ZnS

Yikai ZANG1... Beibei ZHU2, Lin QIN2, Yao SHANG1, Junhao SHANG1, Zhongdi SHE1, Xiao CHEN3, Junfeng XIAO1 and Jianfeng XU1,* |Show fewer author(s)
Author Affiliations
  • 1School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan430074, China
  • 2Shanghai Aerospace Control Technology Research Institute, Shanghai01108, China
  • 3School of Mechanical Engineering, Hubei University of Technology, Wuhan40068, China
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    To study and optimize the material removal model for robotic polishing of M-ZnS and enhance the precision and cost-effectiveness of manufacturing M-ZnS optical components, the material removal model is refined using the finite element method and numerical simulation. A pressure field distribution model for a 10 mm asphalt polishing disc is developed, and the pressure distribution function is determined through curve fitting. The accuracy of the adjusted removal function model is verified with a less than 8% deviation when comparing simulation and experimental data. The polishing process parameters are optimized using a one-factor experimental method, suggesting a pressure range of 0.12 to 0.18 MPa and spindle speed ratios of 200/-10 to 200/-50 r/min for 10 mm discs. These optimizations were applied to polish 100 mm M-ZnS planar optical elements. Post-polishing, the surface quality significantly improved within 80.39 min; the M-ZnS transitioned from light yellow to transparent, face shape PV decreased from 0.668 μm to 0.229 μm, with a 65% improvement, and surface roughness Sa went from 7.911 nm to 2.472 nm, with a 68% enhancement. Thus, robotic polishing proves vital for efficient, high-quality finishing of M-ZnS optical components.

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    Yikai ZANG, Beibei ZHU, Lin QIN, Yao SHANG, Junhao SHANG, Zhongdi SHE, Xiao CHEN, Junfeng XIAO, Jianfeng XU. Modeling of removal function and optimization of process parameters for robotic polishing M-ZnS[J]. Optics and Precision Engineering, 2024, 32(15): 2387

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    Paper Information

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    Received: Jun. 4, 2024

    Accepted: --

    Published Online: Sep. 27, 2024

    The Author Email: XU Jianfeng (jfxu@hust.edu.cn)

    DOI:10.37188/OPE.20243215.2387

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