Acoustic emission signal of fiber-reinforced composite grinding: frequency components and damage pattern recognition

Abstract

Current researches of acoustic emission (AE) mainly put the focus on fault diagnosis of traditional isotropic materials machining process or analysis of fiber-reinforced composite (FRC) tensile or bending strength, while there are merely studies on AE research of FRC grinding process. Numerous kinds of damage occur during FRC grinding process owing to their complicated structure. The main purpose of this paper is to extract proper index to estimate AE signals of FRC grinding and to recognize damage patterns, thus realizing FRC processing on-line detection. AE signals are obtained by single-grain grinding experiments of quartz fiber–reinforced silicon dioxide matrix composite (SiO2/SiO2). The AE signal features are discussed, and the outstanding character of frequency components is proposed. The frequency of each damage pattern is analyzed and verified. AE effective voltage value (EVV) and event number percentage (ENP) of peak frequency (PF) of AE signals with processing parameters are researched. The results show that for the same kind of FRCs, frequency components of AE signals are only affected by damage patterns rather than processing parameters or grinding directions, thus being a proper estimate index. There are four main frequency bands during SiO2/SiO2 grinding. The frequency 6.4–9.8 KHz corresponds to fiber fracture, 14.8–17.9 KHz is fiber debonding, 23.6–26.4 KHz is debris rubbing with workpiece and tool, and 34–35.5 KHz is matrix crack. EVV has a similar changing trend to grinding force with machining parameters. AE ENP of PF that the maximum peak amplitude (PA) corresponds to could quantitatively confirm the main damage modes under each processing condition.

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  • 14 May 2019

    The original version of this article contained a mistake. The arrows and lines in Figs. 1(a) and 5 are missing.

References

  1. 1.

    Grabec I, Kuljanić E (1994) Characterization of manufacturing processes based upon acoustic emission analysis by neural networks. CIRP Ann 43(1):77–80. https://doi.org/10.1016/S0007-8506(07)62168-4

    Article  Google Scholar 

  2. 2.

    Hundt W, Leuenberger D, Rehsteiner F, Gygax P (1994) An approach to monitoring of the grinding process using acoustic emission (AE) technique. CIRP Ann 43(1):295–298. https://doi.org/10.1016/S0007-8506(07)62217-3

    Article  Google Scholar 

  3. 3.

    Badger J, Murphy S, O’Donnell GE (2018) Acoustic emission in dressing of grinding wheels: AE intensity, dressing energy, and quantification of dressing sharpness and increase in diamond wear-flat size. Int J Mach Tools Manuf 125:11–19. https://doi.org/10.1016/j.ijmachtools.2017.11.007

    Article  Google Scholar 

  4. 4.

    Karpuschewski B, Wehmeier M, Inasaki I (2000) Grinding monitoring system based on power and acoustic emission sensors. CIRP Ann 49(1):235–240. https://doi.org/10.1016/S0007-8506(07)62936-9

    Article  Google Scholar 

  5. 5.

    Wang Z, Willett P, DeAguiar PR, Webster J (2001) Neural network detection of grinding burn from acoustic emission. Int J Mach Tools Manuf 41(2):283–309. https://doi.org/10.1016/S0890-6955(00)00057-2

    Article  Google Scholar 

  6. 6.

    Surgeon M, Vanswijgenhoven E, Wevers M, Van Der Biest O (1997) Acoustic emission during tensile testing of SiC-fibre-reinforced BMAS glass-ceramic composites. Compos A: Appl Sci Manuf 28(5):473–480. https://doi.org/10.1016/S1359-835X(96)00147-9

    Article  Google Scholar 

  7. 7.

    Favre JP, Laizet JC (1989) Amplitude and counts per event analysis of the acoustic emission generated by the transverse cracking of cross-ply CFRP. Compos Sci Technol 36(1):27–43. https://doi.org/10.1016/0266-3538(89)90014-6

    Article  Google Scholar 

  8. 8.

    Li L, Swolfs Y, Straumit I, Yan X, Lomov SV (2016) Cluster analysis of acoustic emission signals for 2D and 3D woven carbon fiber/epoxy composites. JCoMa 50(14):1921–1935. https://doi.org/10.1177/0021998315597742

    Google Scholar 

  9. 9.

    Ativitavas N, Fowler TJ, Pothisiri T (2004) Identification of fiber breakage in fiber reinforced plastic by low-amplitude filtering of acoustic emission data. JNE 23(1):21–36. https://doi.org/10.1023/B:JONE.0000045218.22048.7a

    Google Scholar 

  10. 10.

    Surgeon M, Wevers M (1999) Modal analysis of acoustic emission signals from CFRP laminates. NDT & E International 32(6):311–322. https://doi.org/10.1016/S0963-8695(98)00077-2

    Article  Google Scholar 

  11. 11.

    Azadi M, Sayar H, Ghasemi-Ghalebahman A, Jafari SM (2019) Tensile loading rate effect on mechanical properties and failure mechanisms in open-hole carbon fiber reinforced polymer composites by acoustic emission approach. Compos Part B 158:448–458. https://doi.org/10.1016/j.compositesb.2018.09.103

    Article  Google Scholar 

  12. 12.

    Li B, Ding W, Yang C, Li C (2018) Grindability of powder metallurgy nickel-base superalloy FGH96 and sensibility analysis of machined surface roughness. Int J Adv Manuf Technol. https://doi.org/10.1007/s00170-018-3117-0

  13. 13.

    Qian N, Ding W, Zhu Y (2018) Comparative investigation on grindability of K4125 and Inconel718 nickel-based superalloys. Int J Adv Manuf Technol 97(5):1649–1661. https://doi.org/10.1007/s00170-018-1993-y

    Article  Google Scholar 

  14. 14.

    Dai C-W, Ding W-F, Zhu Y-J, Xu J-H, Yu H-W (2018) Grinding temperature and power consumption in high speed grinding of Inconel 718 nickel-based superalloy with a vitrified CBN wheel. Precis Eng 52:192–200. https://doi.org/10.1016/j.precisioneng.2017.12.005

    Article  Google Scholar 

  15. 15.

    Wang J, Yu T, Ding W, Fu Y, Bastawros AF (2018) Wear evolution and stress distribution of single CBN superabrasive grain in high-speed grinding. Precis Eng 54:70–80. https://doi.org/10.1016/j.precisioneng.2018.05.003

    Article  Google Scholar 

  16. 16.

    Liu S, Chen T, Wu C (2016) Rotary ultrasonic face grinding of carbon fiber reinforced plastic (CFRP): a study on cutting force model. Int J Adv Manuf Technol:1–10. doi:https://doi.org/10.1007/s00170-016-9151-x

  17. 17.

    Li ZC, Jiao Y, Deines TW, Pei ZJ, Treadwell C (2005) Rotary ultrasonic machining of ceramic matrix composites: feasibility study and designed experiments. Int J Mach Tools Manuf 45(12–13):1402–1411. https://doi.org/10.1016/j.ijmachtools.2005.01.034

    Article  Google Scholar 

  18. 18.

    Wang Y, Sarin VK, Lin B, Li H, Gillard S (2016) Feasibility study of the ultrasonic vibration filing of carbon fiber reinforced silicon carbide composites. Int J Mach Tools Manuf 101:10–17. https://doi.org/10.1016/j.ijmachtools.2015.11.003

    Article  Google Scholar 

  19. 19.

    Xiao X, Zheng K, Liao W, Meng H (2016) Study on cutting force model in ultrasonic vibration assisted side grinding of zirconia ceramics. Int J Mach Tools Manuf 104:58–67. https://doi.org/10.1016/j.ijmachtools.2016.01.004

    Article  Google Scholar 

  20. 20.

    Li H, Lin B, Wan S, Wang Y, Zhang X (2016) An experimental investigation on ultrasonic vibration-assisted grinding of SiO2f/SiO2 composites. MMP 31(7):887–895. https://doi.org/10.1080/10426914.2015.1090586

    Google Scholar 

  21. 21.

    Webster J, Dong WP, Lindsay R (1996) Raw acoustic emission signal analysis of grinding process. CIRP Ann 45(1):335–340. https://doi.org/10.1016/S0007-8506(07)63075-3

    Article  Google Scholar 

  22. 22.

    Gregory N, Morscher NG (2014) Use of acoustic emission for ceramic matrix composites. In: Ceramic matrix composites. https://doi.org/10.1002/9781118832998.ch20

  23. 23.

    Wei J, Wang H, Lin B, Sui T, Zhao F, Fang S (2018) A force model in single grain grinding of long fiber reinforced woven composite. Int J Adv Manuf Technol:1–12. doi:https://doi.org/10.1007/s00170-018-2719-x

  24. 24.

    Wang H, Wang Y, Lin B, Wei J, He Y, Zhao F, Fang S (2018) What roles do ceramic matrix and woven fibers have in bending strength of SiO2/SiO2 composites: an experimental investigation and acoustic emission analysis. Ceram Int. https://doi.org/10.1016/j.ceramint.2018.09.295

  25. 25.

    Gong T, Geng R (2002) Parameter analysis method of acoustic emission signal. NDTE 24 (2)

  26. 26.

    Wei J, Wang H, Lin B, Sui T, Zhao F, Fang S (2019) A force model in single grain grinding of long fiber reinforced woven composite. Int J Adv Manuf Technol 100(1):541–552. https://doi.org/10.1007/s00170-018-2719-x

    Article  Google Scholar 

  27. 27.

    Nair A, Cai CS (2010) Acoustic emission monitoring of bridges: review and case studies. Eng Struct 32(6):1704–1714. https://doi.org/10.1016/j.engstruct.2010.02.020

    Article  Google Scholar 

  28. 28.

    Kang X, Xi Z (2007) Size effect on the dynamic characteristic of a micro beam based on Cosserat theory. Jixie Qiangdu/Journal of Mechanical Strength 29(1):1–4

    MathSciNet  Google Scholar 

  29. 29.

    Kong S, Zhou S, Nie Z, Wang K (2008) The size-dependent natural frequency of Bernoulli–Euler micro-beams. IJES 46(5):427–437. https://doi.org/10.1016/j.ijengsci.2007.10.002

    MATH  Google Scholar 

  30. 30.

    Lam DCC, Yang F, Chong ACM, Wang J, Tong P (2003) Experiments and theory in strain gradient elasticity. J Mech Phys Solids 51(8):1477–1508. https://doi.org/10.1016/S0022-5096(03)00053-X

    Article  MATH  Google Scholar 

  31. 31.

    Shi YS, Wang YG, Yang Y, Sun LP, Lin B (2011) Analysis on ground surface damage of quartz fiber-reinforced quartz composites. Appl Mech Mater 80–81:266–270. https://doi.org/10.4028/www.scientific.net/AMM.80-81.266

    Article  Google Scholar 

Download references

Acknowledgement

During the course of paper writing, thanks very much for the valuable suggestions from a young teacher Shuai Yan. His comments on this research is important. I am deeply influenced by his rigorous attitude to research and working manner in daily life.

Funding

This work was financially supported by the National Natural Science Foundation of China (NO.51375333).

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Correspondence to Bin Lin.

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The original version of this article was revised: The arrows and lines in Figs. 1(a) and Fig. 5 are missing.

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Wei, J., Wang, H., Lin, B. et al. Acoustic emission signal of fiber-reinforced composite grinding: frequency components and damage pattern recognition. Int J Adv Manuf Technol 103, 1391–1401 (2019). https://doi.org/10.1007/s00170-019-03645-x

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Keywords

  • Fiber-reinforced composites
  • Acoustic emission
  • Frequency component
  • Grinding damage pattern recognition
  • Effective voltage value
  • Event number percentage of AE peak frequency