Skip to main content
Log in

Radial deformation and stress distribution of grinding wheel on surface grinding

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

High machining accuracy is the unremitting pursuit of grinding technology. The radial deformation of grinding wheel is an important factor affecting the machining accuracy of the workpiece. In this study, a force model of grinding wheel during grinding was established, considering centrifugal force and distribution grinding force. The radial displacement and Mises stress distribution of grinding wheel under different grinding parameters (peripheral velocity, grinding depth, and feed speed) were obtained by finite element simulation based on the established force model. The simulation results showed that the radial deformation of the lowest point of the grinding wheel was most affected by peripheral speed, which increased with the increase of peripheral speed and decreased with the increase of grinding depth and feed speed. The actual grinding depth had deviation caused by the radial deformation of grinding wheel, especially in grinding with large grinding depth and feed speed. The deviation value of grinding depth was also obtained. This work can provide a reference for compensating the deviation and has certain engineering significance for improving the machining accuracy of workpieces.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  1. Jackson MJ (2018) A review of the design of grinding wheels operating at excessive speeds. Int J Adv Manuf Technol 94:3979–4010. https://doi.org/10.1007/s00170-017-1131-2

    Article  Google Scholar 

  2. Jackson MJ, Ruxton V (2021) Creep-feed grinding wheel development for safely grinding aerospace alloys. J Mater Eng Performance 30(3):2220–2228. https://doi.org/10.1007/s11665-021-05489-7

    Article  Google Scholar 

  3. Maciel M, Costa C, Silva M et al (2016) A 45° saw-dicing process applied to a glass substrate for wafer-level optical splitter fabrication for optical coherence tomography. J Micromech Microeng 26:084001. https://doi.org/10.1088/0960-1317/26/8/084001

    Article  Google Scholar 

  4. Yin S, Liao Q, Hu T et al (2019) Development of automatic double-spindle precise dicing saw. Diamond Abrasives Eng 39(3):45–50. https://doi.org/10.13394/j.cnki.jgszz.2019.3.0008

    Article  Google Scholar 

  5. Yamada T, Morgan M, Lee HS et al (2012) Calculation of effective ground depth of cut by means of grinding process model. Key Eng Mater 496:7–12. https://doi.org/10.4028/www.scientific.net/KEM.496.7

    Article  Google Scholar 

  6. Yao B, Tan X, He W (2011) Influence of centrifugal force of grinding wheel on grinding accuracy. Mech Electrical Technol 34(5):36–38

    Google Scholar 

  7. Wang X, Wang W, Yu T et al (2013) Study on radial deformation of CBN grinding wheel considering centrifugal force and grinding heat. Adv Mat Res 797:500–504. https://doi.org/10.4028/www.scientific.net/AMR.797.500

    Article  Google Scholar 

  8. Dai D (2016) Study on radial deformation of CBN grinding wheel in ultra-high speed grinding. Dissertation,. Guangzhou University

    Google Scholar 

  9. Jiang Z, Yin Y, Wang Q et al (2016) Predictive modeling of grinding force considering wheel deformation for toric fewer-axis grinding of large complex optical mirrors. Mech Electrical Technol 138(6):061008. https://doi.org/10.1115/1.4032084

    Article  Google Scholar 

  10. Ma Y, Yuan H, Ju R et al (2009) Performance analysis and three-dimensional modeling of wafer dicing with diamond blade. Diamond Abrasives Eng 5:74–77. https://doi.org/10.13394/j.cnki.jgszz.2009.05.016

    Article  Google Scholar 

  11. Ma Y (2012) Research on performance of diamond blade in dicing saw based on ANSYS method. J Adv Manuf Systems 11(2):125–133. https://doi.org/10.1142/S0219686712500114

    Article  Google Scholar 

  12. Callioglu H, Sayer M, Demir E (2015) Elastic–plastic stress analysis of rotating functionally graded discs. Thin-Walled Struct 94:38–44. https://doi.org/10.1016/j.tws.2015.03.016

    Article  Google Scholar 

  13. Zhang L, Xu X (2010) Influences of grinding speed and on the grinding wheel’s strength and deformation. Appl Sci Technol 37(7):35–39. https://doi.org/10.3969/j.issn.1009-671X.2010.07.009

    Article  Google Scholar 

  14. Yang L, Fu Y, Xu J et al (2015) Structural design of a carbon fiber-reinforced polymer wheel for ultra-high speed grinding. Mater Des 88:827–836. https://doi.org/10.1016/j.matdes.2015.09.066

    Article  Google Scholar 

  15. Gao D (2019) Research on the dynamic and static characteristics of ultra-high speed grinding wheel body. Dissertation. Henan University of Technology

    Google Scholar 

  16. Zhang J, Wang G, Yu T et al (2011) Optimization design of vitrified CBN wheel structure in super high-speed grinding. China Mech Eng 22(16):1916–1921

    Google Scholar 

  17. EkhteraeiToussi H, RezaeiFarimani M (2012) Elasto-plastic deformation analysis of rotating disc beyond its limit speed. Int J Press Vessels Pip 89:170–177. https://doi.org/10.1016/j.ijpvp.2011.11.001

    Article  Google Scholar 

  18. Li K, Wang M, Chen F et al (2019) Analysis of the dynamic diameter of superthin diamond blades in the high speed and precision dicing process. Int J Precis Eng Manuf 20(7):1071–1081. https://doi.org/10.1007/s12541-019-00128-7

    Article  Google Scholar 

  19. Li G, Cui P, Zhang L et al (2018) Current studies of high entropy alloys. J Yanshan Univ 42(2):95–104. https://doi.org/10.3969/j.issn.1007-791X.2018.02.001

    Article  Google Scholar 

  20. Li K (2019) Study on high-speed dynamic behavior of super-thin dicing blades and design of a new bond. Dissertation,. Yanshan University

    Google Scholar 

  21. Zou Q, Zhang C, Li Y et al (2022) Research present situation of machining deformation of ultra-thin dicing blades. Diamond Abrasives Eng 42(1):119–128. https://doi.org/10.13394/j.cnki.jgszz.2021.0102

    Article  Google Scholar 

  22. Ardashev DV, Dyakonov AA (2017) Mathematical model of the grinding force with account for blunting of abrasive grains of the grinding wheel. J Manuf Sci Eng 139:121005. https://doi.org/10.1115/1.4037939

    Article  Google Scholar 

  23. Guo W, Li B, Shen S et al (2019) Experimental study on force model in grinding of maraging steel 3J33. Proc IMechE Part C: J Mech Eng Sci 233(10):3475–3486. https://doi.org/10.1177/0954406218814041

    Article  Google Scholar 

  24. Jamshidi H, Gurtan M, Budak E (2019) Identification of active number of grits and its effects on mechanics and dynamics of abrasive processes. J Mater Process Technol 273:116239. https://doi.org/10.1016/j.jmatprotec.2019.05.020

    Article  Google Scholar 

  25. Wu Z, Zhang L (2023) Analytical grinding force prediction with random abrasive grains of grinding wheels. Int J Mech Sci 250:108310. https://doi.org/10.1016/j.ijmecsci.2023.108310

    Article  Google Scholar 

  26. Wang X, Liu Q, Zheng Y et al (2022) A grinding force prediction model with random distribution of abrasive grains: considering material removal and undeformed chips. Int J Adv Manuf Technol 120:7219–7233. https://doi.org/10.1007/s00170-022-09213-0

    Article  Google Scholar 

  27. Shi Z, Attia H, Srinivasaraghavan M (2009) Experimental investigations of the force distributions in the grinding contact zone. Mach Sci Technol 13:372–384. https://doi.org/10.1080/10910340903237889

    Article  Google Scholar 

  28. Shen J, Lu L, Gong Y et al (2018) Study on the influence of variation of contact arc zone on the single-pass sawing of sapphire wafer. Int J Precis Eng Manuf 19(9):1265–1271. https://doi.org/10.1007/s12541-018-0150-8

    Article  Google Scholar 

  29. Zhang X, Liang G, Lv M et al (2022) Theoretical and experimental study of grinding mechanical stress under small depth of cut. Mach Des Manuf (10):100–103. https://doi.org/10.19356/j.cnki.1001-3997.2022.10.015

  30. Fujimoto M, Ohishi S, Hinaga R et al (2018) Wheel working surface topography and grinding force distributions in creep feed grinding. Int J of Automation Technology 12(2):223–229. https://doi.org/10.20965/ijat.2018.p0223

    Article  Google Scholar 

  31. Tian L, Fu Y, Yang L et al (2014) Experimental studies for high grinding of titanium alloy Ti6Al4V. China Mech Eng 25(22):3056–3060. https://doi.org/10.3969/j.issn.1004-132X.2014.22.014

    Article  Google Scholar 

  32. Xu X, Li Y, Malkin S (2001) Forces and energy in circular sawing and grinding of granite. J Manuf Sci Eng 123:13–22. https://doi.org/10.1115/1.1344900

    Article  Google Scholar 

  33. Rasim M, Mattfeld P, Klocke F (2015) Analysis of the grain shape influence on the chip formation in grinding. J Mater Process Technol 226:60–68. https://doi.org/10.1016/j.jmatprotec.2015.06.041

    Article  Google Scholar 

  34. Ma CC, Huang KM (2008) Exact full-field analysis of strain and displacement for circular disks subjected to partially distributed compressions. Int J Mech Sci 50(2):275–292. https://doi.org/10.1016/j.ijmecsci.2007.06.005

    Article  MATH  Google Scholar 

  35. Shen X, Xie G, Shang Z (2015) High-speed/ultra-high speed grinding process. Science press, Beijing

    Google Scholar 

  36. Dai C, Ding W, Xu J et al (2017) Effects of undeformed chip thickness on grinding temperature and burn-out in high-efficiency deep grinding of Inconel718 superalloys. Int J Adv Manuf Technol 89:1841–1852. https://doi.org/10.1007/s00170-016-9192-1

    Article  Google Scholar 

  37. Yan Y, Guo L (2012) Test on 45 steel grinding forces in high efficiency deep grinding. Modern Manuf Eng 3:68–72. https://doi.org/10.16731/j.cnki.1671-3133.2012.03.010

    Article  Google Scholar 

  38. Li HN, Yu TB, Wang ZX et al (2016) Detailed modeling of cutting forces in grinding process considering variable stages of grain-workpiece micro interactions. Int J Mech Sci 126:319–339. https://doi.org/10.1016/j.ijmecsci.2016.11.016

    Article  Google Scholar 

  39. Zhang Y, Han C, Yang X et al (2019) Simulation analysis and experimental research on surface grinding force of GCr15 steel. Surface Technol 48(10):342–348. https://doi.org/10.16490/j.cnki.issn.1001-3660.2019.10.042

    Article  Google Scholar 

Download references

Funding

This work was supported by the Science and Technology Project of Hebei Education Department, China (ZD2021099).

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. Data analysis was performed by Chengxiang Zhang, Yanguo Li, Qin Zou, Wenqi Luo, and Lifeng Dai. The first draft of the manuscript was written by Chengxiang Zhang, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Qin Zou.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, C., Li, Y., Zou, Q. et al. Radial deformation and stress distribution of grinding wheel on surface grinding. Int J Adv Manuf Technol 129, 771–782 (2023). https://doi.org/10.1007/s00170-023-12159-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-023-12159-6

Keywords

Navigation