A study on the control strategies of a series–parallel hybrid platform for blade polishing

  • Qiuwei He
  • Ji Zhao
  • Mei FengEmail author
  • Chaopeng Zhang
  • Hangde Chen


Blades are key components of turbines, aircraft engines, and high-speed ship propulsion systems, such that their manufacturing quality has a considerable influence on a machine’s performance. This paper presented a seriesparallel hybrid platform that employed abrasive belt as the tool and integrated the measuring equipment to achieve in-situ measurement for blade polishing. It studied the control strategies for solving the processing parameters aiming to the characteristics of the alternate measurement and processing in the process of polishing. According to singularity analysis of the parallel mechanism, the platform structure parameters were appropriately optimized to avoid the singular position. Then, based on the in-situ measuring data of the blade contour, a method was proposed for calculating the normal vector of machining points, while the platform kinematics were studied, and the total machining allowance was determined by comparing the actual and ideal contour profiles of the blade. Finally, a testing experiment was performed to validate the proposed method of the normal vector calculation, and blade polishing experiment was conducted on the developed platform, which proved the effectiveness and feasibility of the platform.


Blade polishing Control strategies In-situ measurement Series–parallel hybrid structure 


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Funding information

This work was supported by the China National Natural Science Foundation under Grant No. 51135006.


  1. 1.
    Huang Z, Huang Y, Zhang MD, Guo XD (2008) Testing of a six-axis computer numberical control abrasive belt grinding machine based on free-form surface. Journal of Chongqing University 31(6):598–602Google Scholar
  2. 2.
    Wan M, Zhang W (2008) Overviews of technique research progress of form error prediction and error compensation in milling process. Acta Aeronaut. Astronaut Sin 29(5):1340–1349Google Scholar
  3. 3.
    Xiao G, Huang Y (2015) Constant-load adaptive belt polishing of the weak-rigidity blisk blade. Int J Adv Manuf Technol 78(9–12):1–12Google Scholar
  4. 4.
    Lai XD, Zhang QH, Li QG, He T (2009) Digital manufacture of large-grade hydro turbine’s blades. J Mater Process Technol 209(11):4963–4969CrossRefGoogle Scholar
  5. 5.
    Axinte DA, Kritmanorot M, Axinte M, Gindy NNZ (2005) Investigations on belt polishing of heat-resistant titanium alloys. J Mater Process Technol 166(3):398–404CrossRefGoogle Scholar
  6. 6.
    Grzesik W, Rech J, Wanat T (2007) Surface finish on hardened bearing steel parts produced by superhard and abrasive tools. Int J Mach Tools Manuf 47(2):255–262CrossRefGoogle Scholar
  7. 7.
    Jourani A, Dursapt M, Hamdi H, Rech J, Zahouani H (2005) Effect of the belt grinding on the surface texture: modeling of the contact and abrasive wear. Wear 259(7):1137–1143CrossRefGoogle Scholar
  8. 8.
    Chen RK (2014) Research on abrasive belt grinding of blisk blade inner and outer contour. Dissertation, Chongqing UniversityGoogle Scholar
  9. 9.
    Duan J, Shi YY, Lin XJ, Dong T (2011) Flexible polishing machine with dual grinding heads for aeroengine blade and blisk. Adv Mater Res 317-319:2454–2460CrossRefGoogle Scholar
  10. 10.
    Duan J, Shi Y, Zhang J, Dong T, Li X (2012) Flexible polishing technology for blade of aviation engine. Acta Aeronaut. Astronaut. Sin 33(3):573–578Google Scholar
  11. 11.
    Zhsao P, Shi Y (2013) Composite adaptive control of belt polishing force for aero-engine blade. Chin J Mech Eng 26(5):988–996CrossRefGoogle Scholar
  12. 12.
    Xiao GJ, Huang Y (2016) Equivalent self-adaptive belt grinding for the real-R edge of an aero-engine precision-forged blade. Int J Adv Manuf Technol 83(9–12):1697–1706CrossRefGoogle Scholar
  13. 13.
    Zhao T, Shi YY, Lin XJ, Duan JH, Sun PC, Zhang J (2014) Surface roughness prediction and parameters optimization in grinding and polishing process for IBR of aero-engine. Int J Adv Manuf Technol 74:653–663CrossRefGoogle Scholar
  14. 14.
    Xiao GJ, Huang Y, Fei Y (2016) On-machine contact measurement for the main-push propeller blade with belt grinding. Int J Adv Manuf Technol 87(5–8):1713–1723CrossRefGoogle Scholar
  15. 15.
    Wu S, Kazerounian K, Gan Z, Sun Y (2013) A simulation platform for optimal selection of robotic belt grinding system parameters. Int J Adv Manuf Technol 64(1–4):447–458CrossRefGoogle Scholar
  16. 16.
    Ren X, Cabaravdic M, Zhang X, Kuhlenkotter B (2007) A local process model for simulation of robotic belt grinding. Int J Mach Tools Manuf 47(6):962–970CrossRefGoogle Scholar
  17. 17.
    Ren X, Kuhlenkotter B, Muller H (2006) Simulation and verification of belt grinding with industrial robots. Int J Mach Tools Manuf 46(7–8):708–716CrossRefGoogle Scholar
  18. 18.
    Ren X, Muller H, Kuhlenkoetter B (2006) Surfel-based surface modeling for robotic belt grinding simulation. J Zhejiang Univ Sci A 7(7):1215–1224CrossRefzbMATHGoogle Scholar
  19. 19.
    Zhang X, Kuhlenkotter B, Kneupner K (2005) An efficient method for solving the Signorini problem in the simulation of free-form surfaces produced by belt grinding. Int J Mach Tools Manuf 45(6):641–648CrossRefGoogle Scholar
  20. 20.
    Zhang X, Kneupner K, Kuhlenkotter B (2006) A new force distribution calculation model for high-quality production processes. Int J Adv Manuf Technol 27(7–8):726–732CrossRefGoogle Scholar
  21. 21.
    Li XB, Shi YY, Zhao PB, Duan JH (2012) Polishing force control technology of aero-engine blade in belt polishing. Comput Integr Manuf Syst 18(6):1209–1214Google Scholar
  22. 22.
    Huang H, Gong ZM, Chen XQ, Zhou L (2002) Robotic grinding and polishing for turbine-vane overhaul. J Mater Process Technol 127(2):140–145CrossRefGoogle Scholar
  23. 23.
    Gallardo J, Orozco H, Rico JM (2008) Kinematics of 3-RPS parallel manipulators by means of screw theory. Int J Adv Manuf Technol 36(5–6):598–605CrossRefGoogle Scholar
  24. 24.
    Li Y, Huang Z, Wang L (2006) The singularity analysis of 3-RPS parallel manipulator. ASME IDETC/CIE:1712–1723Google Scholar
  25. 25.
    Huang Z (2006) Advanced spatial mechanism. Higher Education Press, Beijing, pp 262–267Google Scholar
  26. 26.
    Department of mathematics, Tongji University (2007) Advanced mathematics. Higher Education Press, Beijing, pp 97–99Google Scholar
  27. 27.
    Chen HJ (2016) Machining practical handbook, 4rd edn. China Machine Press, Beijing, p 377Google Scholar

Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of Mechanical and Aerospace EngineeringJilin UniversityChangchunChina

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