Skip to main content
SpringerLink
Log in

Investigation of robotic abrasive belt grinding methods used for precision machining of aluminum blades

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

The high profile accuracy requirements for new type aircraft engine blades prevent RABG (robotic abrasive belt grinding) from precision machining. To solve this issue, a kind of abrasive belt grinding device with a floating compensation function was designed to reduce machining errors, and a double-vector control method was proposed to optimize the processing trajectory of robotic abrasive belt grinding. A series of grinding experiments of aluminum alloy blades were carried out. The experimental results revealed that the machining profile accuracy of the blade can be significantly improved to 0.06 mm with the optimum process parameters, and the machined surface roughness was less than 0.4 μm.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

Similar content being viewed by others

References

  1. Fujisawa T, Inaba K, Yamamoto M, Kato D (2008) Multiphysics simulation of electrochemical machining process for three-dimensional compressor blade. J Fluids Eng-Trans ASME 130(8). https://doi.org/10.1115/1.2956596

  2. Doman DA, Warkentin A, Bauer R (2006) A survey of recent grinding wheel topography models. Int J Mach Tool Manu 46(3-4):343–352. https://doi.org/10.1016/j.ijmachtools.2005.05.013

    Article  Google Scholar 

  3. Jain VK, Adsul SG (2000) Experimental investigations into abrasive flow machining (AFM). Int J Mach Tool Manu 40(7):1003–1021. https://doi.org/10.1016/s0890-6955(99)00114-5

    Article  Google Scholar 

  4. Zou L, Huang Y, Zhang G, Cui X (2019) Feasibility study of a flexible grinding method for precision machining of the TiAl-based alloy. Mater Manuf Process 34(10):1160–1168. https://doi.org/10.1080/10426914.2019.1628255

    Article  Google Scholar 

  5. Zhu D, Zhu D, Xu Z, Zhou L (2013) Trajectory control strategy of cathodes in blisk electrochemical machining. Chin J Aeronaut 26(4):1064–1070. https://doi.org/10.1016/j.cja.2013.06.012

    Article  Google Scholar 

  6. Ding W, Xu J, Chen Z, Su H, Fu Y (2010) Grindability and surface integrity of cast nickel-based superalloy in creep feed grinding with brazed CBN abrasive wheels. Chin J Aeronaut 23(4):501–510. https://doi.org/10.1016/s1000-9361(09)60247-8

    Article  Google Scholar 

  7. Fu Y, Wang X, Gao H, Wei H, Li S (2016) Blade surface uniformity of blisk finished by abrasive flow machining. Int J Adv Manuf Technol 84(5-8):1725–1735. https://doi.org/10.1007/s00170-015-8270-0

    Article  Google Scholar 

  8. Xiao GJ, Huang Y (2017) Experimental research and modelling of life-cycle material removal in belt finishing for titanium alloy. J Manuf Process 30:255–267. https://doi.org/10.1016/j.jmapro.2017.09.030

    Article  Google Scholar 

  9. Zhu D, Luo S, Yang L, Chen W, Yan S, Ding H (2015) On energetic assessment of cutting mechanisms in robot-assisted belt grinding of titanium alloys. Tribol Int 90:55–59. https://doi.org/10.1016/j.triboint.2015.04.004

    Article  Google Scholar 

  10. Zou L, Liu X, Huang Y, Fei Y (2019) A numerical approach to predict the machined surface topography of abrasive belt flexible grinding. Int J Adv Manuf Technol 104(5-8):2961–2970. https://doi.org/10.1007/s00170-019-04032-2

    Article  Google Scholar 

  11. S W (2003) Adaptive robot grinding improves turbine blade repair. Industrial Robot-the International Journal of Robotics Research and Application 30(4):370-372

  12. Song Y, Lv H, Yang Z (2012) An adaptive modeling method for a robot belt grinding process. Ieee-Asme Transactions on Mechatronics 17(2):309–317. https://doi.org/10.1109/tmech.2010.2102047

    Article  Google Scholar 

  13. Gao Z, Lan X, Bian Y (2011) Structural dimension optimization of robotic belt grinding system for grinding workpieces with complex shaped surfaces based on dexterity grinding space. Chin J Aeronaut 24(3):346–354. https://doi.org/10.1016/s1000-9361(11)60041-1

    Article  Google Scholar 

  14. Sun Y, Giblin DJ, Kazerounian K (2009) Accurate robotic belt grinding of workpieces with complex geometries using relative calibration techniques. Robot Comput Integr Manuf 25(1):204–210. https://doi.org/10.1016/j.rcim.2007.11.005

    Article  Google Scholar 

  15. Zhu D, Xu X, Yang Z, Zhuang K, Yan S, Ding H (2018) Analysis and assessment of robotic belt grinding mechanisms by force modeling and force control experiments. Tribol Int 120:93–98. https://doi.org/10.1016/j.triboint.2017.12.043

    Article  Google Scholar 

  16. Xu X, Zhu D, Wang J, Yan S, Ding H (2018) Calibration and accuracy analysis of robotic belt grinding system using the ruby probe and criteria sphere. Robot Comput Integr Manuf 51:189–201. https://doi.org/10.1016/j.rcim.2017.12.006

    Article  Google Scholar 

  17. Xu X, Zhu D, Zhang H, Yan S, Ding H (2017) TCP-based calibration in robot-assisted belt grinding of aero-engine blades using scanner measurements. Int J Adv Manuf Technol 90(1-4):635–647. https://doi.org/10.1007/s00170-016-9331-8

    Article  Google Scholar 

  18. Song Y, Liang W, Yang Y (2012) A method for grinding removal control of a robot belt grinding system. J Intell Manuf 23(5):1903–1913. https://doi.org/10.1007/s10845-011-0508-6

    Article  Google Scholar 

  19. Wang W, Yun C (2011) A path planning method for robotic belt surface grinding. Chin J Aeronaut 24(4):520–526. https://doi.org/10.1016/s1000-9361(11)60060-5

    Article  Google Scholar 

  20. Xiao G, Huang Y (2015) Constant-load adaptive belt polishing of the weak-rigidity blisk blade. Int J Adv Manuf Technol 78(9-12):1473–1484. https://doi.org/10.1007/s00170-014-6724-4

    Article  Google Scholar 

Download references

Funding

This work was supported by the National Natural Science Foundation of China (Grant No. 51875064) and the Fundamental Research Funds for the Central Universities (Grant No. 2019CDJGFJX003).

Author information

Authors and Affiliations

  1. State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing, 400044, China

    Lai Zou, Xifan Liu, Xu Ren & Yun Huang

Authors
  1. Lai Zou
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xifan Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xu Ren
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yun Huang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Lai Zou.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zou, L., Liu, X., Ren, X. et al. Investigation of robotic abrasive belt grinding methods used for precision machining of aluminum blades. Int J Adv Manuf Technol 108, 3267–3278 (2020). https://doi.org/10.1007/s00170-020-05632-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-020-05632-z

Keywords

Search

Navigation