Use of Vibro-acoustic Monitoring for Stabilization Stress–Strain State of Surface Layer of Workpiece During Cutting

  • M. Kozochkin
  • D. AllenovEmail author
  • I. Andryushchenko
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)


The part surface quality directly affects the performance properties of the part, such as environmental resistance, reliability, and durability. The cutting tool wear is one of the dominant factors affecting the formation of the surface layer. The paper is devoted to monitoring of the effect tools wear under the deformation of the surface layer of a part by means of analyzing vibration signals, which are accompanied cutting. The tests were carried out during tool turning in different states with a simultaneous recording of signals from the accelerometer and then, studying the deformations of the surface layer of the parts. We used a grid method to study the deformations. As a result, the relationship between the signal parameters and the accelerometer was established with the intensity of deformation of the surface layer. We proposed a criterion determination technique for the failure of an instrument to change the shape of the vibration signal spectrum. We showed the necessity to exclude intense self-oscillations during cutting.


Surface layer Potential energy Strain intensity Cutting edge wear Self-oscillation Spectrum Vibrodiagnostics 


  1. 1.
    Muhin VS (2005) Poverhnost: tehnologicheskie aspekty prochnosty detaley GTD. Nauka, MoscowGoogle Scholar
  2. 2.
    Bezjazychnyj VF, Prokofiev MA, Sutyagin AN (2014) Technological assurance of wear resistance of surface layer of machine parts after turning. Russian Internet J Ind Eng 2(4):42–46.
  3. 3.
    Starkov VK (1979) Dislokatsionnye predstavleniya o rezanii metallov (Dislocation representations about metal cutting). Mashinostroenie, Moscow, p 160Google Scholar
  4. 4.
    Suslov AG (1987) Technologicheskoe obespechenie parametrov sostoyaniya poverchnostnogo sloya (Technological assurance of surface layer quality parameters). Mashinostroenie, Moscow, p 208Google Scholar
  5. 5.
    Starkov VK (1989) Machining by cutting. Stability and quality management in automated production. Mechanical Engineering, Moscow, p 296Google Scholar
  6. 6.
    Bezjazychnyj VF, Drapkin BM, Prokofiev MA, Timofeev MV (2005) Research of stored energy of deformation by metal during indentation by sphere indenter (Issledovanie zapasennoi metallom energii deformatsii pri vdavlianii charovogo indentora). Zavodskaya labortoriya. Diagnostika materialov (Factory laboratory. Material diagnostics) 4(71):32–35Google Scholar
  7. 7.
    Ramalingam S, Blak JT (1972) On the metal physical considerations in the machining of metals. Paper ASME, 1971, WA/Prod-22. “Transection ASME” 4:261–272Google Scholar
  8. 8.
    Yamada M, Sonoya K, Watanabe Y (2015) Effects of cutting conditions on the work damaged layer formed during cutting heat-resistant alloy (12%Cr steel). Univ J Mech Eng 3(6):222–228CrossRefGoogle Scholar
  9. 9.
    Kozochkin MP, Volosova MA, Allenov DG (2016) Effect of wear of tool cutting edge on detail surface layer deformation and parameters of vibro-acoustic signals. Mater Sci Forum 876:50–58CrossRefGoogle Scholar
  10. 10.
    Kozochkin MP, Allenov DG (2015) The Investigation of the wear effect on the cutting edge of the tool on the deformation of the surface layer of a part. Bull MGTU “STANKIN” 4:22–29Google Scholar
  11. 11.
    Kozochkin MP, Maslov AR, Porvatov AN (2015) Information-measurement and control systems for force and vibroacoustic parameters. Meas Tech 58(8):839–844CrossRefGoogle Scholar
  12. 12.
    Kozochkin MP (2014) Influence of machine_tool dynamics on the vibration in cutting. Russ Eng Res 34(9):573–577CrossRefGoogle Scholar
  13. 13.
    Kozochkin MP (2012) Nonlinear cutting dynamics. Russian Eng Res 32(4)CrossRefGoogle Scholar
  14. 14.
    Rusinek R (2010) Vibrations in cutting process of titanium alloy. Maint Reliab 3:48–55Google Scholar
  15. 15.
    Bisu CF, Darnis P, Gérard A, Knevez J-Y (2009) Displacements analysis of self-excited vibrations in turning. Int J Adv Manuf Technol 44(1–2):1–16CrossRefGoogle Scholar
  16. 16.
    Cahuc O, K’nevez J-Y, Gérard A, Darnis P, Albert G, Bisu CF, Gérard C (2010) Self-excited vibrations in turning: cutting moment analysis. Int J Adv Manuf Technol 47(1–4):217–225CrossRefGoogle Scholar
  17. 17.
    Kozochkin MP, Zavgorodnii VI, Maslov AR, Sabirov FS (2010) Influence of the dynamic characteristics of the tool and the blank on the vibroacoustic monitoring of cutting. Russ Eng Res 30(9):939–943CrossRefGoogle Scholar
  18. 18.
    Kozochkin MP, Porvatov AN (2014) Effect of adhesion bonds in friction contact on vibroacoustic signal and autooscillations. J Frict Wear 35(5):389–395CrossRefGoogle Scholar
  19. 19.
    Oberkochen H (1981) Werkstüchklassifizierung und auswahl für ein flexibles. Fertigungssystem Madrich, Werkstatts technic 71(8):485–489Google Scholar
  20. 20.
    Del GD (1979) The method of grade grids. Mechanical Engineering, Moscow, 144 pGoogle Scholar
  21. 21.
    Kozochkin MP, Sabirov FS (2009) Attractors in cutting and their future use in diagnostics. Meas Tech 52(2):166–171CrossRefGoogle Scholar
  22. 22.
    Wang Q, Bai Q, Chen J, Sun Y, Guo Y, Liang Y (2015) Subsurface defects structural evolution in nano-cutting of single crystal copper. Appl Surf Sci 344:38–46CrossRefGoogle Scholar
  23. 23.
    Kuczmaszewski J, Pieśko P (2014) Wear of milling cutters resulting from high silicon aluminium alloy cast AISi21 CuNi machining. Maint and Reliab 1(16):37–41Google Scholar
  24. 24.
    Chen JC, Chen W (1999) A tool breakage detection system using an accelerometer sensor. J Intell Manuf 10(2):187–197MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Moscow State University of Technology “STANKIN”MoscowRussia
  2. 2.Peoples’ Friendship University of Russia (RUDN University)MoscowRussia

Personalised recommendations