• Optics and Precision Engineering
  • Vol. 32, Issue 15, 2387 (2024)
Yikai ZANG1, Beibei ZHU2, Lin QIN2, Yao SHANG1, Junhao SHANG1, Zhongdi SHE1, Xiao CHEN3, Junfeng XIAO1, and Jianfeng XU1、*
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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    DOI: 10.37188/OPE.20243215.2387 Cite this Article
    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 Copy Citation Text show less

    Abstract

    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.
    dzdt=KvP(1)

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    dz=Kt0vPdt(2)

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    TIF(x,y)=1T0tKv(x,y,t)P(x,y,t)dt(3)

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    H(x,y)=i=1mj=1nTIF(i,j)ΔxΔy(4)

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    H(x,y)=αβTIF(x-α,y-β)D(α,β)dαdβ(5)

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    Hx,y=TIFx,yDx,y(6)

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    α=π,                               rr0-earccosr2+e2-r022re,r0-e<rr0+e0,                               r0+e<r(7)

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    t=2αωq(8)

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    v=v1+v2(9)

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    r2+r'2+2rr'cosβ=e2(10)

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    r2+e2+2recosα=r'2(11)

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    v(r,α)=ω1r2(1+n)2+e2n2-2ren(1+n)cosα,(12)

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    n=ωqωp-1(13)

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    TIF(r)=KPω12π-θθr2(1+n)+e2n2-2ren(1+n)cosαdα,(14)

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    θ=2π,                               rr0-e2arccosr2+e2-r022re,r0-e<rr0+e0,                                 r0+e<r(15)

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    P(r)=ki=08piri(16)

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    TIF(r)=k-θθi=08pi(r2+e2+2recosα)i·ω12πr2(1+n)+e2n2-2ren(1+n)cosαdα.(17)

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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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