Formation of Bearings Parts Waviness in Centerless Mortise Grinding on Rigid Supports | Journal of Engineering Sciences

Formation of Bearings Parts Waviness in Centerless Mortise Grinding on Rigid Supports

Author(s): Chalyj V.1, Moroz S.2, Tkachuk A.2*, Zablotskyi V.2, Trokhymchuk I.2, Stelmakh O.3

Affiliation(s):
1 PSC “SKF Ukraine”, 34, Bozhenka St., 43017 Lutsk, Ukraine;
2 Lutsk National Technical University, 75, Lvivska St., 43018 Lutsk, Ukraine;
3 Beijing Institute of Technology, 5, Zhongguancun St., Haidian Qu, China

*Corresponding Author’s Address: [email protected]

Issue: Volume 10, Issue 1 (2023)

Dates:
Submitted: January 31, 2023
Received in revised form: May 10, 2023
Accepted for publication: May 22, 2023
Available online: June 1, 2023

Citation:
Chalyj V., Moroz S., Tkachuk A., Zablotskyi V., Trokhymchuk I., Stelmakh A. (2023). Formation of bearings parts waviness in centerless mortise grinding on rigid supports. Journal of Engineering Sciences, Vol. 10(1), pp. A15-A21, doi: 10.21272/jes.2023.10(1).a3

DOI: 10.21272/jes.2023.10(1).a3

Research Area:  MANUFACTURING ENGINEERING: Machines and Tools

Abstract. The formation of waviness on the working surfaces of bearing parts is associated with fluctuations in the size of the cut layer of metal and changes in the components of the cutting force. Laplace operators were used to model the centerless grinding system based on the construction of the transfer function and the characteristic equation. It was found that the formation of waviness depends on the position of the hodograph of the movement of the vector of the center of the part in the complex plane, which in turn depends on the geometric parameters of the rigid supports of the centerless grinder machine. This makes it possible, based on hodographs and the angular orientation of their asymptotes, to determine the geometric stability of the process depending on the angles of adjustment of the rigid supports of the grinder machine. Two methodological approaches were used to confirm the correctness of the hypotheses. The first one is a multiplication of wave’s hodographs. The second one is regeneration displacement and the coincidence of the combined hodograph of regeneration and waviness displacement mechanisms with the hodograph of infinitely rigid machine displacement. The diagrams which allow choosing geometry of adjustment of rigid support that allows to increase or decrease parameters of certain harmonics are developed. The 3D diagram allows setting the local minima, characterized by acceptable geometric adjustment conditions, providing regulated waviness of the working surfaces of bearing parts.

Keywords: process innovation, adjustment, asymptote, harmonic analysis, hodograph, waviness.

References:

  1. Yue, Q., Li, L., Zhang, X. (2023). Failure mechanism and bearing capacity analysis of the underpinning structure with relative displacement. Engineering Failure Analysis, Vol. 148, 107205, https://doi.org/10.1016/j.engfailanal.2023.107205
  2. Gu, Q., Deng, Z., Lv, L., Liu, T., Teng, H., Wang, D., Yuan, J. (2021). Prediction research for surface topography of internal grinding based on mechanism and data model. International Journal of Advanced Manufacturing Technology, Vol. 113(3-4), pp. 821-836, https://doi.org/10.1007/s00170-021-06604-7
  3. Zhao, B., Wang, X., Ding, W., Wang, Y., Fu, Y., Zhao, Y., Zhu, J. (2023). Grain erosion wear properties and grinding performance of porous aggregated cubic boron nitride abrasive wheels. Chinese Journal of Aeronautics, https://doi.org/10.1016/j.cja.2022.08.005
  4. Wu, Z., Zhang, L. (2023). Analytical grinding force prediction with random abrasive grains of grinding wheels. International Journal of Mechanical Sciences, Vol. 250, 108310, https://doi.org/10.1016/j.ijmecsci.2023.108310
  5. Kishore, K., Sinha, M. K., Chauhan, S. R. (2023). A comprehensive investigation of surface morphology during grinding of Inconel 625 using conventional grinding wheels. Journal of Manufacturing Processes, Vol. 97, pp. 87-99 https://doi.org/10.1016/j.jmapro.2023.04.053
  6. Chalyj, V., Moroz, S., Ptachenchuk, V., Zablotskyj, V., Prystupa, S. (2020). Investigation of waveforms of roller bearing’s working surfaces on centerless grinding operations. In: Ivanov V. et al. (eds) Advances in Design, Simulation and Manufacturing III. DSMIE 2020. Lecture Notes in Mechanical Engineering, Springer, Cham, Vol. 1, pp. 349-360, https://doi.org/10.1007/978-3-030-50794-7_34
  7. Kalchenko, V., Yeroshenko, A., Oyko, S. (2017). Mathematical modeling of abrasive grinding working process. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, Vol. 6, pp. 76-82.
  8. Zhang, X.-M., Zhang, Q.-J. (2010). Research on the simulation of centerless grinding process. Proceedings of the 29th Chinese Control Conference, Vol. 2010, pp. 5310-5313.
  9. Chunjian, H., Qiuju, Z., Yubing, X. (2010). Research on the computer simulation technique of cylindrical centerless grinding process. 2010 Second International Workshop on Education Technology and Computer Science, pp. 431-433, https://doi.org/10.1109/ETCS.2010.551
  10. Yang, H., Zhang, L., Li, D., Li, T. (2011). Modeling and analysis of grinding force in surface grinding. 2011 IEEE International Conference on Computer Science and Automation Engineering, pp. 175-178, https://doi.org/10.1109/CSAE.2011.5952448
  11. Zablotskyi, V., Tkachuk, A., Prozorovskyi, S., Tkachuk, V., Waszkowiak, M. (2022). Influence of turning operations on waviness characteristics of working surfaces of rolling bearings. In: Ivanov, V., Trojanowska, J., Pavlenko, I., Rauch, E., Peraković, D. (eds) Advances in Design, Simulation and Manufacturing V. DSMIE 2022. Lecture Notes in Mechanical Engineering. Springer, Cham, pp. 345-354, https://doi.org/10.1007/978-3-031-06025-0_34
  12. Shah, H., Taha, E. H. (2022). Busemann functions in asymptotically harmonic Finsler manifolds. Journal of Mathematical Physics, Analysis, Geometry, Vol. 18(4), pp. 546-561, https://doi.org/10.15407/mag18.04.546
  13. Zhuang, J., Cao, Y., Jia, M., Zhao, X., Peng, Q. (2023). Remaining useful life prediction of bearings using multi-source adversarial online regression under online unknown conditions. Expert Systems with Applications, Vol. 227, 120276, https://doi.org/10.1016/j.eswa.2023.120276
  14. Gabor, M., Zdunek, R., Zimroz, R., Wodecki, J., Wylomanska, A. (2023). Non-negative tensor factorization for vibration-based local damage detection. Mechanical Systems and Signal Processing, Vol. 198, https://doi.org/10.1016/j.ymssp.2023.110430
  15. Chen, J., Lin, C., Yao, B., Yang, L., Ge, H. (2023). Intelligent fault diagnosis of rolling bearings with low-quality data: A feature significance and diversity learning method. Reliability Engineering and System Safety, Vol. 237, https://doi.org/10.1016/j.ress.2023.109343
  16. Bai, X., Zeng, S., Ma, Q., Feng, Z., An, Z. (2023). Intelligent fault diagnosis method for rolling bearing using WMNRS and LSSVM. Measurement Science and Technology, Vol. 34(7), https://doi.org/10.1088/1361-6501/acc3b9
  17. Zhu, D., Yin, B., Teng, C. (2023). An improved spectral amplitude modulation method for rolling element bearing fault diagnosis. Journal of the Brazilian Society of Mechanical Sciences and Engineering, Vol. 45(5), https://doi.org/10.1007/s40430-023-04184-z
  18. Chen, S., Xie, B., Wang, Y., Wang, K., Zhai, W. (2023). Non-stationary harmonic summation: A novel method for rolling bearing fault diagnosis under variable speed conditions. Structural Health Monitoring, Vol. 22(3), pp. 1554-1580, https://doi.org/10.1177/14759217221110278
  19. Lin, S., Jiang, S. (2022). Rotordynamics of an improved face-grinding spindle: Rotational stiffness of thrust bearing increases radial stiffness of spindle. Journal of Manufacturing Science and Engineering, Transactions of the ASME, Vol. 144(8), https://doi.org/10.1115/1.4053458
  20. Zmarzły, P. (2022). Analysis of technological heredity in the production of rolling bearing rings made of AISI 52100 steel based on waviness measurements. Materials, Vol. 15(11), https://doi.org/10.3390/ma15113959
  21. Brosed, F. J., Zaera, V. A., Padilla, E., Cebrián, F., Aguilar, J. J. (2018). In-process measurement for the process control of the real-time manufacturing of tapered roller bearings. Materials, Vol. 11(8), https://doi.org/10.3390/ma11081371

Full Text



© 2014-2024 Sumy State University
"Journal of Engineering Sciences"
ISSN 2312-2498 (Print), ISSN 2414-9381 (Online).
All rights are reserved by SumDU