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Detection and visualization of chatter in gear hobbing based on combination of time and frequency domain analysis

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Abstract

This paper presents a method for the detection and visualization of chatter in gear hobbing based on a combination of time and frequency domain analysis of acceleration data. By analyzing the acceleration data of the workpiece rotation shaft, chatter was identified, and the relationship between the vibration of the workpiece rotation shaft of hobbing machine and profile deviation of machined gears was established. First, a hobbing cutting experiment was made with different cutting parameters; meanwhile, DH5922N dynamic signal test analysis system and DH311E acceleration sensors were used to collect acceleration data during the hobbing process. Then, the relationship between tooth passing frequency and chatter was established by time domain and frequency domain analyses; furthermore, variance and root mean square value of acceleration data were calculated to judge the magnitude of data fluctuation to indirectly reflect the stability of the machining process. Finally, by detecting the tooth profile deviation and analyzing surface topographies of machined gears, the relationship between vibration and gear machining quality was established: low vibrational level leads to better gear machining precision and surface topography. The research result can provide a theoretical basis for the accurate selection of machining parameters and excellent structural design of hobbing machine tools.

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References

  1. Quintana G, Ciurana J (2011) Chatter in machining processes: a review. Int J Mach Tools Manuf 51:363–376. https://doi.org/10.1016/j.ijmachtools.2011.01.001

    Article  Google Scholar 

  2. Chang L, Weiwei X, Lei G (2020) Identification of milling chatter based on a novel frequency-domain search algorithm. Int J Adv Manuf Technol 109:2393–2407. https://doi.org/10.1007/s00170-020-05789-7

    Article  Google Scholar 

  3. Yue C, Gao H, Liu X, Liang SY, Wang L (2019) A review of chatter vibration research in milling. Chin J Aeronaut 32:215–242. https://doi.org/10.1016/j.cja.2018.11.007

    Article  Google Scholar 

  4. Lange JH, Abu-Zahra NH (2002) Tool chatter monitoring in turning operations using wavelet analysis of ultrasound waves. Int J Adv Manuf Technol 20:248–254. https://doi.org/10.1007/s001700200149

    Article  Google Scholar 

  5. Li X (2017) Research on the vibration properties of hob spindle for CNC gear hobbing machine. JME 53:130. https://doi.org/10.3901/JME.2017.01.130

    Article  Google Scholar 

  6. Lei T (2017) Vibration response characteristics research for the hob spindle system of high-speed dry hobbing under alternating impact load. JME 53:113. https://doi.org/10.3901/JME.2017.11.113

    Article  Google Scholar 

  7. Altintas Y (2004) Manufacturing automation: metal cutting mechanics, machine tool vibrations, and CNC design: metal cutting mechanics, machine tool vibrations, and CNC design, vol 31. Cambridge University Press, New York

    Google Scholar 

  8. Sant’Anna DR, Mundim RB, Borille AV, Gomes JO (2016) Experimental approach for analysis of vibration sources in a gear hobbing machining process. J Braz Soc Mech Sci Eng 38:789–797. https://doi.org/10.1007/s40430-014-0300-6

    Article  Google Scholar 

  9. Soliman E, Ismail F (1998) A control system for chatter avoidance by ramping the spindle speed. J Manuf Sci Eng 120:674–683. https://doi.org/10.1115/1.2830206

    Article  Google Scholar 

  10. Ding L, Sun Y, Xiong Z (2020) Active chatter suppression in turning by simultaneous adjustment of amplitude and frequency of spindle speed variation. J Manuf Sci Eng 142:142. https://doi.org/10.1115/1.4045618

    Article  Google Scholar 

  11. Ding L, Sun Y, Xiong Z (2018) Online chatter suppression in turning by adaptive amplitude modulation of spindle speed variation. J Manuf Sci Eng 140:140. https://doi.org/10.1115/1.4041248

    Article  Google Scholar 

  12. Liu Y, Wang X, Lin J, Zhao W (2016) Early chatter detection in gear grinding process using servo feed motor current. Int J Adv Manuf Technol 83:1801–1810. https://doi.org/10.1007/s00170-015-7687-9

    Article  Google Scholar 

  13. Kawasaki K, Tsuji I (2019) Machining method of large-sized cylindrical worm gears with Niemann profiles using CNC machining center. Int J Adv Manuf Technol 104:3717–3729. https://doi.org/10.1007/s00170-019-04076-4

    Article  Google Scholar 

  14. Simon V (1993) Hob for worm gear manufacturing with circular profile. Int J Mach Tools Manuf 33:615–625. https://doi.org/10.1016/0890-6955(93)90096-D

    Article  Google Scholar 

  15. Troß N, Löpenhaus C, Klocke F (2019) Analysis of the cutting conditions for radial-axial infeed strategies in gear hobbing. Procedia CIRP 79:68–73. https://doi.org/10.1016/j.procir.2019.02.013

    Article  Google Scholar 

  16. Hynynen KM, Ratava J, Lindh T, Rikkonen M, Ryynänen V, Lohtander M, Varis J (2014) Chatter detection in turning processes using coherence of acceleration and audio signals. J Manuf Sci Eng 136. https://doi.org/10.1115/1.4026948

  17. Cao H, Yue Y, Chen X, Zhang X (2017) Chatter detection in milling process based on synchrosqueezing transform of sound signals. Int J Adv Manuf Technol 89:2747–2755. https://doi.org/10.1007/s00170-016-9660-7

    Article  Google Scholar 

  18. Ning Y, Rahman M, Wong YS Monitoring of chatter in high speed endmilling using audio signals method: 421–426. https://doi.org/10.1007/978-1-4471-0777-4_65

  19. Delio T, Tlusty J, Smith S (1992) Use of audio signals for chatter detection and control. J Eng Indust 114:146–157. https://doi.org/10.1115/1.2899767

    Article  Google Scholar 

  20. Shi Z (2013) Current status and trends of large gears metrology. JME 49:35. https://doi.org/10.3901/JME.2013.10.035

    Article  Google Scholar 

  21. Quintana G, Ciurana J, Ferrer I, Rodríguez CA (2009) Sound mapping for identification of stability lobe diagrams in milling processes. Int J Mach Tools Manuf 49:203–211. https://doi.org/10.1016/j.ijmachtools.2008.11.008

    Article  Google Scholar 

  22. Morita H, Yamashita T (2012) Tracing and visualizing variation of chatter for in-process identification of preferred spindle speeds. Procedia CIRP 4:11–16. https://doi.org/10.1016/j.procir.2012.10.003

    Article  Google Scholar 

  23. Berbinschi S, Teodor V, Oancea N (2013) 3D graphical method for profiling gear hob tools. Int J Adv Manuf Technol 64:291–304. https://doi.org/10.1007/s00170-012-3989-3

    Article  Google Scholar 

  24. Zahoor S, Mufti NA, Saleem MQ, Mughal MP, Qureshi MAM (2017) Effect of machine tool’s spindle forced vibrations on surface roughness, dimensional accuracy, and tool wear in vertical milling of AISI P20. Int J Adv Manuf Technol 89:3671–3679. https://doi.org/10.1007/s00170-016-9346-1

    Article  Google Scholar 

  25. Chen Z, Li Z, Niu J, Zhu L (2020) Chatter detection in milling processes using frequency-domain Rényi entropy. Int J Adv Manuf Technol 106:877–890. https://doi.org/10.1007/s00170-019-04639-5

    Article  Google Scholar 

  26. Xi S, Cao H, Zhang X, Chen X (2019) Zoom synchrosqueezing transform-based chatter identification in the milling process. Int J Adv Manuf Technol 101:1197–1213. https://doi.org/10.1007/s00170-018-3002-x

    Article  Google Scholar 

  27. Huang P, Li J, Sun J, Ge M (2012) Milling force vibration analysis in high-speed-milling titanium alloy using variable pitch angle mill. Int J Adv Manuf Technol 58:153–160. https://doi.org/10.1007/s00170-011-3380-9

    Article  Google Scholar 

  28. Balachandran B, Zhao MX (2000) A mechanics based model for study of dynamics of milling operations. Meccanica 35:89–109. https://doi.org/10.1023/A:1004887301926

    Article  MATH  Google Scholar 

  29. Balachandran B, Gilsinn D (2005) Non-linear oscillations of milling. Math Comput Model Dyn Syst 11:273–290. https://doi.org/10.1080/13873950500076479

    Article  MATH  Google Scholar 

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Acknowledgments

The authors would like to thank the National Natural Science Foundation of China, Nos. 51875161, 52075142 and 51575154.

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Authors and Affiliations

  1. School of Mechanical Engineering, Hefei University of Technology, Hefei, 230009, China

    Xiaoqing Tian, Ruofeng Chen, Hong Jiang, Fangfang Dong, Lei Lu, Jiang Han & Lian Xia

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  1. Xiaoqing Tian
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  3. Hong Jiang
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Correspondence to Xiaoqing Tian or Lian Xia.

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Tian, X., Chen, R., Jiang, H. et al. Detection and visualization of chatter in gear hobbing based on combination of time and frequency domain analysis. Int J Adv Manuf Technol 111, 785–796 (2020). https://doi.org/10.1007/s00170-020-06120-0

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