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Research and development of multi-axis CNC abrasive belt-grinding machine postprocessor

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Abstract

Multi-axis CNC abrasive belt-grinding machine is an essential piece of equipment for processing the turbofan engine fan blades. The quality of blades determines whether engine performance can be further improved. As one of the important means to ensure blade quality, the measurement of the blade is still in the stage of manually hand-held measurement, and it is urgent to introduce digital and intelligent means to improve this situation. In order to make the overall process of blade grinding and measurement digital and intelligent and make the CNC belt-grinding machine integrated into the intelligent manufacturing system, its core is to upgrade the grinding machine by installing intelligent devices for the grinding machine. The primary premise of the upgrade is to reconstruct the post-processing system of the machine tool. Therefore, this article established a multi-axis CNC abrasive belt-grinding machine’s precise geometry assembly model, developed the post-process module based on the machine kinematic chain, established and validated a virtual grinding machine virtual simulation environment, and completed the experimental verification with a specific type of wide string hollow fan blade. The experimental results show the correctness and effectiveness of the post-processing module and the virtual simulation environment. The work of this paper provides an essential platform for the subsequent upgrade of the grinder and the installation of an in-machine measurement system.

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References

  1. Yang Y (2005) Marine propeller surface modeling and five-axis CNC machining tool planning [D]. Dalian Univ Technol. https://doi.org/10.7666/d.y687711

    Article  Google Scholar 

  2. Leont’ev MK, Davydov AV, Degtyarev SA, Gladkii IL (2014) To simulation of fan blade out for a high bypass ratio engine[J]. Russian Aeronautics (Iz VUZ) 57(02):27–31. https://doi.org/10.3103/S106879981402007X

    Article  Google Scholar 

  3. Huang Y,Huang Z (2009) Principles of abrasive belt grinding and its applications [M]. Chongqing: Chongqing University Press.https://doi.org/10.7666/d.y687711.CNKI:SUN: JXGR.0.2008–24–018

  4. Wang T, Zou L, Wan Q, Zhang X, Li Y, Huang Y (2021) A high-precision prediction model of surface roughness in abrasive belt flexible grinding of aero-engine blade[J]. J Manuf Process 66:364–375. https://doi.org/10.1016/j.jmapro.2021.04.002

    Article  Google Scholar 

  5. Cui H, Zhang M (2015) Current status and development trend of aero-engine blade polishing technology[J]. Aviation manufacturing technology, (11):128–131. https://doi.org/10.16080/j.issn1671-833x.2015.11.128.

  6. Deng R, Qiao H, An J, He J. (2019) Overview on abrasive belt grinding for complex surface[C]// Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019), Atlantis Press, 66–70. https://doi.org/10.2991/pntim-19.2019.14

  7. Cao X (2020) Research on workpiece adaptive machining technology based on on-machine measurement[D]. Nanjing University of Aeronautics and Astronautics. https://doi.org/10.27239/d.cnki.gnhhu.2020.000594

  8. Zhou X, Zhang D, Wu B, Luo M (2014) Generalized method for post-processing of non-orthogonal dual rotary table 5-axis machine tools[J]. J Mech Eng 50(15):198–204. https://doi.org/10.3901/JME.2014.15.198

    Article  Google Scholar 

  9. Qiu Z (2014) Research on the post-processing technology of general-purpose double pendulum head five-axis CNC machine tools[D]. Harbin Institute of Technology. CNKI:CDMD:2.1014.084706

  10. My CA, Bohez ELJ (2019) A novel differential kinematics model to compare the kinematic performances of 5-axis CNC machines[J]. Int J Mech Sci 163:105–117. https://doi.org/10.1016/j.ijmecsci.2019.105117

    Article  Google Scholar 

  11. He Y, Xu Q, Zhou Y (2002) Kinematic modeling and solution of an arbitrary structure CNC machine tool mechanism[J]. J Mech Eng 10:31–36. https://doi.org/10.3321/j.issn:0577-6686.2002.10.008

    Article  Google Scholar 

  12. Zuo X, Wu H, Chen X (2012) Post-processing and simulation verification of five-axis positioning milling on a non-orthogonal dual rotary table machining centre[J]. Mech Sci Technol 31(01):154–158+162. https://doi.org/10.13433/j.cnki.1003-8728.2012.01.009

    Article  Google Scholar 

  13. So B, Jung Y (2008) Inverse kinematics for five-axis machines using orthogonal kinematics chain[J]. Korean J Comput Design Eng 13:153–161. https://doi.org/10.7736/kspe.2018.35.5.537

    Article  Google Scholar 

  14. Boz Y, Lazoglu I (2013) A postprocessor for table-tilting type five-axis machine tool based on generalized kinematics with variable feedrate implementation[J]. Int J Adv Manuf Technol 66(9–12):1285–1293. https://doi.org/10.1007/s00170-012-4406-7

    Article  Google Scholar 

  15. Tutunea-Fatan OR, Feng H (2004) Configuration analysis of five-axis machine tools using a generic kinematic model[J]. Int J Mach Tools Manuf 44(11):1235–1243. https://doi.org/10.1016/j.ijmachtools.2004.03.009

    Article  Google Scholar 

  16. Zhang H (2019) Five-axis machine tool classification kinematic modeling and post-processing verification[J]. Manuf Technol Machine Tools. (04):180–183. https://doi.org/10.19287/j.cnki.1005-2402.2019.04.036

  17. SøRby K (2007) Inverse kinematics of five-axis machines near singular configurations[J]. Int J Mach Tools Manuf 47(2):299–306. https://doi.org/10.1016/j.ijmachtools.2006.03.011

    Article  Google Scholar 

  18. Sun K, Ni Y, Wang H , et al. (2016) Post-processing and simulation of novel five-axis hybrid machine tool[J]. Computer Integrated Manufacturing Systems. https://doi.org/10.13196/j.cims.2016.01.026

  19. Yang J, Altintas Y (2013) Generalized kinematics of five-axis serial machines with non-singular tool path generation[J]. Int J Mach Tools Manuf 75:119–132. https://doi.org/10.1016/j.ijmachtools.2013.09.002

    Article  Google Scholar 

  20. Zhou X, Liu X, Li M, Wang Z, Meng X (2017) Post-processor development of a five-axis machine tool with optimization tool radius compensation[J]. Int J Adv Manuf Technol 88(5–8):1505–1522. https://doi.org/10.1007/s00170-016-8801-3

    Article  Google Scholar 

  21. Cui C, Chen S, Si C, Ye H (2022) Post-processing optimization algorithm for blade six-axis NC machining[J]. J Phys: Conf Ser 2206(1):012007–012007. https://doi.org/10.1088/1742-6596/2206/1/012007

    Article  Google Scholar 

  22. Wang J, Zhang D, Wu B, Luo M, Zhang Y (2015) Kinematic analysis and feedrate optimization in six-axis NC abrasive belt grinding of blades[J]. Int J Adv Manuf Technol. https://doi.org/10.1007/s00170-015-6824-9

    Article  Google Scholar 

  23. Tang Q, Li K, Lai G. (2016) Research on post-processing algorithm of MORI SEIKI 1500S turning and milling machine tool[J]. Combined Machine Tools Automated Machining Technol (12):49–51.https://doi.org/10.13462/j.cnki.mmtamt.2016.12.014

  24. Yuen A, Altintas Y (2016) Trajectory generation and control of a 9 axis CNC micromachining center[J]. CIRP Annals - Manufacturing Technology. 349–352. https://doi.org/10.1016/j.cirp.2016.04.098

  25. Zhou F, Zhang Z, Wu C, Tian X, Liu H, He W (2019) Optimization of numerical control program and machining simulation based on VERICUT[J]. J Shanghai Jiaotong Univ (Science) 24(06):763–768. https://doi.org/10.1007/s12204-019-2109-z

    Article  Google Scholar 

  26. Xiong Y, Wang Z, Tang J, Shi S, Lu Y, Su J, Gao Z (2011) Research status and development trend of CNC machining simulation system[J]. Manuf Technol Machine Tools 12:71–75. https://doi.org/10.3969/j.issn.1005-2402.2011.12.022

    Article  Google Scholar 

  27. Ren J (2016) Status and trends of the development of CNC machining simulation technology[J]. Aviation manufacturing technology (05):62–66. https://doi.org/10.16080/j.issn1671-833x.2016.05.062

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Funding

The research work of this paper is supported by Shaanxi Science and Technology Resources Open Sharing Platform (Project No.:2021PT-006) and the common technology of "Intelligent manufacturing cell technology of engine hollow blades" (Project No.: 41423010701).

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Contributions

Hu Qiao and Ying Xiang proposed and developed the concepts related to the study. Hu Qiao contributed to the study of the post-processing algorithm for a multi-axis CNC belt grinder. Zhenxing Wei contributed to the modeling and assembly of a multi-axis CNC belt-grinding machine. Ruixiang Deng contributed to experimental verification and analysis. Tianhang Xu contributed to the analysis and manuscript preparation.

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Correspondence to Ying Xiang.

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Qiao, H., Wei, Z., Deng, R. et al. Research and development of multi-axis CNC abrasive belt-grinding machine postprocessor. Int J Adv Manuf Technol 126, 3109–3131 (2023). https://doi.org/10.1007/s00170-023-11230-6

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