Skip to main content
Log in

Modeling study on surface roughness of ultrasonic-assisted micro end grinding of silica glass

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

Abstract

Ultrasonic vibration-assisted micro end grinding (UAMEG) is a promising processing method for microparts made of hard and brittle materials. The surface quality of the workpiece in UAMEG is important, as it influences the performance of the finished part to a great extent. However, the surface finish is governed by many factors, and its experimental determination is laborious and time-consuming. So, it is a key issue to establish a model for the reliable prediction of surface roughness in UAMEG. In this paper, a new analytical surface roughness model is developed considering the influence of random distribution of abrasives, grinding conditions, and ultrasonic vibration, which shows the relationship between the surface roughness and the expected value of chip thickness, based on the assumption that the profile of groove produced by an individual grain is a triangular shape. This model is validated by the experimental results of silica glass in UAMEG. The theoretical predicted value of surface roughness matches well with the experimental result.

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.

Similar content being viewed by others

References

  1. Masuzawa T (2000) State of the art of micromachining. CIRP Ann Manuf Technol 49:473–488

    Article  Google Scholar 

  2. Brinksmeier E, Mutlugunes Y, Klocke F, Aurich JC, Shore P, Ohmori H (2010) Ultra-precision grinding. CIRP Ann Manuf Technol 59:652–671

    Article  Google Scholar 

  3. Zhong ZW, Venkatesh VC (2009) Recent developments in grinding of advanced materials. Int J Adv Manuf Technol 41:468–480

    Article  Google Scholar 

  4. Sreejith PSN (2001) Material removal mechanisms in precision machining of new materials. Int J Mach Tools Manuf 41:1831–1843

    Article  Google Scholar 

  5. Liu K, Li XP, Liang SY (2007) The mechanism of ductile chip formation in cutting of brittle materials. Int J Adv Manuf Technol 33:875–884

    Article  Google Scholar 

  6. Gan J, Wang X, Zhou M, Ngoi B, Zhong Z (2003) Ultraprecision diamond turning of glass with ultrasonic vibration. Int J Adv Manuf Technol 21:952–955

    Article  Google Scholar 

  7. Tawakoli T, Azarhoushang B, Rabiey M (2009) Ultrasonic assisted dry grinding of 42CrMo4. Int J Adv Manuf Technol 42:883–891

    Article  Google Scholar 

  8. Tawakoli TAB (2008) Influence of ultrasonic vibrations on dry grinding of soft steel. Int J Mach Tools Manuf 48:1585–1591

    Article  Google Scholar 

  9. Chen HF, Tang JY, Zhou W (2013) An experimental study of the effects of ultrasonic vibration on grinding surface roughness of C45 carbon steel. Int J Adv Manuf Technol 68:2095–2098

    Article  Google Scholar 

  10. Yan YY, Zhao B, Liu JL (2009) Ultraprecision surface finishing of nano-ZrO2 ceramics using two-dimensional ultrasonic assisted grinding. Int J Adv Manuf Technol 43(5–6):462–467

    Article  Google Scholar 

  11. Prasanna MM, Miehele HM (2014) Force and thermal effects in vibration-assisted grinding. Int J Adv Manuf Technol 71:1117–1122

    Article  Google Scholar 

  12. Wang Y, Lin B, Wang SL, Cao XY (2014) Study on the system matching of ultrasonic vibration assisted grinding for hard and brittle materials processing. Int J Mach Tools Manuf 77:66–73

    Article  Google Scholar 

  13. Jianhua Z, Yan Z, Shuo Z, Fuqiang T, Lanshen G, Ruizhen D (2014) Study on effect of ultrasonic vibration on grinding force and surface quality in ultrasonic assisted micro end grinding of silica glass. SHOCK VIB 2014:1–10

    Article  Google Scholar 

  14. Hecker RL, Liang SY (2003) Predictive modeling of surface roughness in grinding. Int J Mach Tools Manuf 43:755–761

    Article  Google Scholar 

  15. Agarwal S, Rao PV (2005) A probabilistic approach to predict surface roughness in ceramic grinding. Int J Mach Tools Manuf 45:609–616

    Article  Google Scholar 

  16. Agarwal S, Venkateswara P, Rao (2010) Modeling and prediction of surface roughness in ceramic grinding. Int J Mach Tools Manuf 50:1065–1076

    Article  Google Scholar 

  17. Gao GF, Zhao B, Xiang DH, Kong QH (2009) Research on the surface characteristics in ultrasonic grinding nano-zirconia ceramics. J Mater Process Technol 209:32–37

    Article  Google Scholar 

  18. Gopal AV, Rao PV (2004) A new chip-thickness model for performance assessment of silicon carbide grinding. Int J Adv Manuf Technol 24:816–820

    Article  Google Scholar 

  19. Younis MA, Alawi H (1984) Probabilistic analysis of the surface grinding process. T Can Soc Mech Eng 8:208–213

    Google Scholar 

  20. Park HW (2008) Development of micro‐grinding mechanics and machine tools, Georgia Institute of Technology

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhang Jian-hua.

Ethics declarations

The authors claim that none of the material in this paper has been published or is under consideration for publication elsewhere.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jian-hua, Z., Li-ying, W., Fu-qiang, T. et al. Modeling study on surface roughness of ultrasonic-assisted micro end grinding of silica glass. Int J Adv Manuf Technol 86, 407–418 (2016). https://doi.org/10.1007/s00170-015-8181-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-015-8181-0

Keywords

Navigation