Research Article | | Peer-Reviewed

Investigation of the Surface Produced by Shape Adaptive Polishing

Received: 11 May 2023    Accepted: 29 May 2023    Published: 8 January 2024
Views:       Downloads:
Abstract

Ultra-precision machining (UPM), is renowned for manufacturing products with high precision and surface quality has found diverse application in the optics, automobile, medical instruments, and aerospace industries. Shape adaptive bonnet polishing (SABP), which uses a flexible, non-rigid bonnet tool can be used an alternative ultra-precision polishing method for polishing of complex and delicate microstructures. This paper aims at the investigation on the surface roughness produced by SABP by experimental and analytical model as well as scrutinizing the effects of polishing time and tool offset on tool imprints and surface roughness within the SABP process. Notably, our analytical model highlights the significant influence of polishing time over offset distance for enhancing surface quality, due to its capacity to generate a tool influence curve with a high radius of curvature. The elongation of polishing time leads to a deeper and more flattened tool influence curve, thus resulting in an improved surface quality, a conclusion further affirmed by our experimental outcomes. The utilization of SABP has demonstrated a capacity to enhance workpiece surface quality tenfold, yielding a smooth and uniformly polished surface with surface roughness of 0.008μm. In light of these results, to enhance surface quality further, the study advocates for the prioritization of extending polishing time over altering tool offset in ultra-precision machining.

Published in International Journal of Mechanical Engineering and Applications (Volume 12, Issue 1)
DOI 10.11648/j.ijmea.20241201.11
Page(s) 1-7
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Polishing, Ultra-Precision Polishing, Bonnet Polishing, Shape Adaptive Bonnet Polishing

References
[1] H. C. Schniepp et al., “Functionalized single graphene sheets derived from splitting graphite oxide,” J. Phys. Chem. B, vol. 110, no. 17, pp. 8535–8539, May 2006, doi: 10.1021/JP060936F/SUPPL_FILE/JP060936FSI20060316_022250. PDF.
[2] Z. Zhang, J. Yan, and T. Kuriyagawa, “Manufacturing technologies toward extreme precision,” Int. J. Extrem. Manuf., vol. 1, no. 2, p. 022001, Jun. 2019, doi: 10.1088/2631-7990/AB1FF1.
[3] C. Li, Y. Wu, X. Li, L. Ma, F. Zhang, and H. Huang, “Deformation characteristics and surface generation modelling of crack-free grinding of GGG single crystals,” J. Mater. Process. Technol., vol. 279, p. 116577, May 2020, doi: 10.1016/J. JMATPROTEC.2019.116577.
[4] M. J. Jackson, “Recent advances in ultraprecision abrasive machining processes,” SN Appl. Sci., vol. 2, no. 7, pp. 1–26, Jul. 2020, doi: 10.1007/S42452-020-2982-Y/FIGURES/19.
[5] X. Liu, X. Zhang, F. Fang, and Z. Zeng, “Performance-controllable manufacture of optical surfaces by ultra-precision machining,” Int. J. Adv. Manuf. Technol., vol. 94, no. 9–12, pp. 4289–4299, Feb. 2018, doi: 10.1007/S00170-017-1074-7/METRICS.
[6] M. J. Tsai and J. F. Huang, “Efficient automatic polishing process with a new compliant abrasive tool,” Int. J. Adv. Manuf. Technol., vol. 30, no. 9–10, pp. 817–827, Sep. 2006, doi: 10.1007/S00170-005-0126-6/METRICS.
[7] T. Kuriyagawa, M. Saeki, and K. Syoji, “Electrorheological fluid-assisted ultra-precision polishing for small three-dimensional parts,” Precis. Eng., vol. 26, no. 4, pp. 370–380, Oct. 2002, doi: 10.1016/S0141-6359(02) 00112-5.
[8] Y. Namba, N. Ohnishi, S. Yoshida, K. Harada, K. Yoshida, and T. Matsuo, “Ultra-Precision Float Polishing of Calcium Fluoride Single Crystals for Deep Ultra Violet Applications,” CIRP Ann., vol. 53, no. 1, pp. 459–462, Jan. 2004, doi: 10.1016/S0007-8506(07) 60739-2.
[9] M. J. Tsai, J. F. Huang, and W. L. Kao, “Robotic polishing of precision molds with uniform material removal control,” Int. J. Mach. Tools Manuf., vol. 49, no. 11, pp. 885–895, Sep. 2009, doi: 10.1016/J. IJMACHTOOLS.2009.05.002.
[10] C. J. Evans et al., “Material Removal Mechanisms in Lapping and Polishing,” CIRP Ann., vol. 52, no. 2, pp. 611–633, Jan. 2003, doi: 10.1016/S0007-8506(07) 60207-8.
[11] W. Le Zhu and A. Beaucamp, “Compliant grinding and polishing: A review,” Int. J. Mach. Tools Manuf., vol. 158, p. 103634, Nov. 2020, doi: 10.1016/J. IJMACHTOOLS.2020.103634.
[12] Z. Wu, J. Shen, Y. Peng, and X. Wu, “Review on ultra-precision bonnet polishing technology,” Int. J. Adv. Manuf. Technol., vol. 121, no. 5–6, pp. 2901–2921, Jul. 2022, doi: 10.1007/S00170-022-09501-9/METRICS.
[13] M. Y. Chen, Y. T. Feng, Y. J. Wan, Y. Li, and B. Fan, “Neural network based surface shape modeling of stressed lap optical polishing,” Appl. Opt. Vol. 49, Issue 8, pp. 1350-1354, vol. 49, no. 8, pp. 1350–1354, Mar. 2010, doi: 10.1364/AO.49.001350.
[14] H. Xu and K. Komvopoulos, “A quasi-static mechanics analysis of three-dimensional nanoscale surface polishing,” J. Manuf. Sci. Eng., vol. 132, no. 3, pp. 0309121–03091210, Jun. 2010, doi: 10.1115/1.4001582/434079.
[15] H. Xiao, Y. Dai, J. Duan, Y. Tian, and J. Li, “Material removal and surface evolution of single crystal silicon during ion beam polishing,” Appl. Surf. Sci., vol. 544, p. 148954, Apr. 2021, doi: 10.1016/J. APSUSC.2021.148954.
[16] X. Ke et al., “Effect of the Binder during Ultra-Precision Polishing of Tungsten Carbide Using a Semirigid Bonnet Tool,” Mater. 2022, Vol. 15, Page 8327, vol. 15, no. 23, p. 8327, Nov. 2022, doi: 10.3390/MA15238327.
[17] A. Beaucamp, Y. Namba, H. Combrinck, P. Charlton, and R. Freeman, “Shape adaptive grinding of CVD silicon carbide,” CIRP Ann., vol. 63, no. 1, pp. 317–320, Jan. 2014, doi: 10.1016/J. CIRP.2014.03.019.
[18] C. Wang et al., “Highly efficient deterministic polishing using a semirigid bonnet,” https://doi.org/10.1117/1.OE.53.9.095102, vol. 53, no. 9, p. 095102, Sep. 2014, doi: 10.1117/1. OE.53.9.095102.
[19] A. Beaucamp, Y. Namba, and P. Charlton, “Process mechanism in shape adaptive grinding (SAG),” CIRP Ann., vol. 64, no. 1, pp. 305–308, Jan. 2015, doi: 10.1016/J. CIRP.2015.04.096.
[20] A. Beaucamp, P. Simon, P. Charlton, C. King, A. Matsubara, and K. Wegener, “Brittle-ductile transition in shape adaptive grinding (SAG) of SiC aspheric optics,” Int. J. Mach. Tools Manuf., vol. 115, pp. 29–37, Apr. 2017, doi: 10.1016/J. IJMACHTOOLS.2016.11.006.
[21] S. R. Bode, A. Kumar, and B. N. Singh, “Numerical analysis of single grit grinding on aluminum workpiece,” Vibroengineering Procedia, vol. 29, pp. 291–294, Nov. 2019, doi: 10.21595/VP.2019.21150.
[22] A. Kareer, E. Tarleton, C. Hardie, S. V. Hainsworth, and A. J. Wilkinson, “Scratching the surface: Elastic rotations beneath nanoscratch and nanoindentation tests,” Acta Mater., vol. 200, pp. 116–126, Nov. 2020, doi: 10.1016/J. ACTAMAT.2020.08.051.
[23] A. S. Alaboodi and Z. Hussain, “Finite element modeling of nano-indentation technique to characterize thin film coatings,” J. King Saud Univ. - Eng. Sci., vol. 31, no. 1, pp. 61–69, Jan. 2017, doi: 10.1016/J. JKSUES.2017.02.001.
[24] Z. C. Cao, C. F. Cheung, and X. Zhao, “A theoretical and experimental investigation of material removal characteristics and surface generation in bonnet polishing,” Wear, vol. 360–361, pp. 137–146, Aug. 2016, doi: 10.1016/J. WEAR.2016.03.025.
[25] K. Lee, K. P. Marimuthu, C. L. Kim, and H. Lee, “Scratch-tip-size effect and change of friction coefficient in nano / micro scratch tests using XFEM,” Tribol. Int., vol. 120, pp. 398–410, Apr. 2018, doi: 10.1016/J. TRIBOINT.2018.01.003.
[26] J. Zhang, H. Wang, A. Senthil Kumar, and M. Jin, “Experimental and theoretical study of internal finishing by a novel magnetically driven polishing tool,” Int. J. Mach. Tools Manuf., vol. 153, p. 103552, Jun. 2020, doi: 10.1016/J. IJMACHTOOLS.2020.103552.
[27] J. Zhang and H. Wang, “Generic model of time-variant tool influence function and dwell-time algorithm for deterministic polishing,” Int. J. Mech. Sci., vol. 211, p. 106795, Dec. 2021, doi: 10.1016/J. IJMECSCI.2021.106795.
[28] C. Wang et al., “Modeling of the static tool influence function of bonnet polishing based on FEA,” Int. J. Adv. Manuf. Technol., vol. 74, no. 1–4, pp. 341–349, Jun. 2014, doi: 10.1007/S00170-014-6004-3/METRICS.
[29] X. L. Ke, C. J. Wang, Y. B. Guo, and Q. Xu, “Modeling of tool influence function for high-efficiency polishing,” Int. J. Adv. Manuf. Technol., vol. 84, no. 9–12, pp. 2479–2489, Jun. 2016, doi: 10.1007/S00170-015-7913-5/METRICS.
Cite This Article
  • APA Style

    Saeed, M. M. (2024). Investigation of the Surface Produced by Shape Adaptive Polishing. International Journal of Mechanical Engineering and Applications, 12(1), 1-7. https://doi.org/10.11648/j.ijmea.20241201.11

    Copy | Download

    ACS Style

    Saeed, M. M. Investigation of the Surface Produced by Shape Adaptive Polishing. Int. J. Mech. Eng. Appl. 2024, 12(1), 1-7. doi: 10.11648/j.ijmea.20241201.11

    Copy | Download

    AMA Style

    Saeed MM. Investigation of the Surface Produced by Shape Adaptive Polishing. Int J Mech Eng Appl. 2024;12(1):1-7. doi: 10.11648/j.ijmea.20241201.11

    Copy | Download

  • @article{10.11648/j.ijmea.20241201.11,
      author = {Muhammad Mubashar Saeed},
      title = {Investigation of the Surface Produced by Shape Adaptive Polishing},
      journal = {International Journal of Mechanical Engineering and Applications},
      volume = {12},
      number = {1},
      pages = {1-7},
      doi = {10.11648/j.ijmea.20241201.11},
      url = {https://doi.org/10.11648/j.ijmea.20241201.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmea.20241201.11},
      abstract = {Ultra-precision machining (UPM), is renowned for manufacturing products with high precision and surface quality has found diverse application in the optics, automobile, medical instruments, and aerospace industries. Shape adaptive bonnet polishing (SABP), which uses a flexible, non-rigid bonnet tool can be used an alternative ultra-precision polishing method for polishing of complex and delicate microstructures. This paper aims at the investigation on the surface roughness produced by SABP by experimental and analytical model as well as scrutinizing the effects of polishing time and tool offset on tool imprints and surface roughness within the SABP process. Notably, our analytical model highlights the significant influence of polishing time over offset distance for enhancing surface quality, due to its capacity to generate a tool influence curve with a high radius of curvature. The elongation of polishing time leads to a deeper and more flattened tool influence curve, thus resulting in an improved surface quality, a conclusion further affirmed by our experimental outcomes. The utilization of SABP has demonstrated a capacity to enhance workpiece surface quality tenfold, yielding a smooth and uniformly polished surface with surface roughness of 0.008μm. In light of these results, to enhance surface quality further, the study advocates for the prioritization of extending polishing time over altering tool offset in ultra-precision machining.
    },
     year = {2024}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Investigation of the Surface Produced by Shape Adaptive Polishing
    AU  - Muhammad Mubashar Saeed
    Y1  - 2024/01/08
    PY  - 2024
    N1  - https://doi.org/10.11648/j.ijmea.20241201.11
    DO  - 10.11648/j.ijmea.20241201.11
    T2  - International Journal of Mechanical Engineering and Applications
    JF  - International Journal of Mechanical Engineering and Applications
    JO  - International Journal of Mechanical Engineering and Applications
    SP  - 1
    EP  - 7
    PB  - Science Publishing Group
    SN  - 2330-0248
    UR  - https://doi.org/10.11648/j.ijmea.20241201.11
    AB  - Ultra-precision machining (UPM), is renowned for manufacturing products with high precision and surface quality has found diverse application in the optics, automobile, medical instruments, and aerospace industries. Shape adaptive bonnet polishing (SABP), which uses a flexible, non-rigid bonnet tool can be used an alternative ultra-precision polishing method for polishing of complex and delicate microstructures. This paper aims at the investigation on the surface roughness produced by SABP by experimental and analytical model as well as scrutinizing the effects of polishing time and tool offset on tool imprints and surface roughness within the SABP process. Notably, our analytical model highlights the significant influence of polishing time over offset distance for enhancing surface quality, due to its capacity to generate a tool influence curve with a high radius of curvature. The elongation of polishing time leads to a deeper and more flattened tool influence curve, thus resulting in an improved surface quality, a conclusion further affirmed by our experimental outcomes. The utilization of SABP has demonstrated a capacity to enhance workpiece surface quality tenfold, yielding a smooth and uniformly polished surface with surface roughness of 0.008μm. In light of these results, to enhance surface quality further, the study advocates for the prioritization of extending polishing time over altering tool offset in ultra-precision machining.
    
    VL  - 12
    IS  - 1
    ER  - 

    Copy | Download

Author Information
  • Department of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China

  • Sections