Skip to main content
Log in

The modelling and experimental verification of the grinding wheel topographical properties based on the ‘through-the-process’ method

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

Abstract

The single-layer superabrasive wheels are made by joining all abrasive grains onto the wheel hub through electroplating or brazing processes. Recently, the attention has risen to acquire a better grinding quality through more stringent grain size control. It is found that any small deviation in the grain dimensional distribution will result in considerable difference in the grinding quality. Therefore, the understanding on correlation between the grain dimensional deviations with the wheel performances will be critical, and the primary step is to establish the correlation between the critical wheel design parameters with the wheel topographical features. In this paper, the ‘through-the-process’ grinding wheel model is developed for single-layer electroplated cubic boron nitride (CBN) wheels by simulating each wheel fabrication procedure, numerically. The efficacy of the wheel model is verified by comparing simulation results with the experimental measurement data in terms of the static grain count and grain protrusion height distribution, and further analysis of the intrinsic relationship between the grain dimensional distribution and the wheel surface topographical properties is carried out so as to provide the quantitative basis for grinding wheel quality control and optimal abrasive product design.

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. Johnson GA (1987) CBN wheel grinding. J Met Forum Features 9:62–63

    Google Scholar 

  2. Chen X, Rowe WB, Cai R (2002) Precision grinding using CBN wheels. Int J Mach Tools Manuf 42:585–593

    Article  Google Scholar 

  3. Insaki I, Tösnhoff HK, Howes TD (1993) Abrasive machining in the future. Ann CIRP 42(2):723–732

    Article  Google Scholar 

  4. Jackson MJ, Davis CJ, Hitchiner MP, Mills B (2001) High-speed grinding with CBN grinding wheels—applications and future technology. J Mater Process Technol 110:78–88

    Article  Google Scholar 

  5. Tönshoff HK, Peters J, Imsaki I, Paul T (1992) Modelling and simulation of grinding processes. Ann CIRP 41:677–688

    Article  Google Scholar 

  6. Aurich JC, Braun O, Wamecke G (2003) Development of a superabrasive grinding wheel with defined grain structure using kinematic simulation. Ann CIRP 52:275–280

    Article  Google Scholar 

  7. Warnecke G, Zitt U (1998) Kinematic simulation for analyzing and predicting high-performance grinding processes. Ann CIRP 47(1):265–270

    Article  Google Scholar 

  8. Aurich JC, Braun O, Warnecke G (2003) Development of a superabrasive grinding wheel with defined grain structure using kinematic simulation. CIRP Ann Manuf Technol 52(1):275–280

    Article  Google Scholar 

  9. Inasaki I (1996) Grinding process simulation based on the wheel topography measurement. Ann CIRP 45(1):347–350

    Article  Google Scholar 

  10. Zhang X, Xu H, Fu Y (2006) Measurement technique of grinding wheel topography based on binocular stereo vision. Mater Sci Forum 532–533:1132–1135

    Article  Google Scholar 

  11. Blunt L, Ebdon S (1996) The application of three-dimensional surface measurement techniques to characterizing grinding wheel topography. Int J Mach Tools Manuf 36(11):1207–1226

    Article  Google Scholar 

  12. Butler DL, Blunt LA, See BK, Webster JA, Stout KJ (2002) The characterization of grinding wheels using 3D surface measurement techniques. J Mater Process Technol 127:234–237

    Article  Google Scholar 

  13. Furutani K, Ohguro N, Hiequ NT, Nakamura T (2002) In-process measurement of topography change of grinding wheel by using hydrodynamic pressure. Int J Mach Tools Manuf 42:1447–1453

    Article  Google Scholar 

  14. MAV: Fertigung (2012) Oberflächen-Analyse. http://www.mav-online.de/fertigung/-/article/46701/26916644/Oberfl%C3%A4chen-Analyse/art_co_INSTANCE_0000/maximized/. Accessed 12 Jul 2012

  15. Zeiss (2012) EVO MA. http://microscopy.zeiss.com/microscopy/en_de/products/scanning-electron-microscopes/evo-materials.html. Accessed 12 Jul 2012

  16. Doman DA, Warkentin A, Bauer R (2006) A survey of recent grinding wheel topography models. Int J Mach Tools Manuf 46:343–352

    Article  Google Scholar 

  17. Zhang Z, Zhang X, Xu C, Guo D (2013) Characterization of nanoscale chips and a novel model for face nanogrinding on soft-brittle HgCdTe films. Tribol Lett 49:203–215

    Article  Google Scholar 

  18. Zhang Z, Song Y, Xu C, Guo D (2012) A novel model for undeformed nanometer chips of soft-brittle HgCdTe films induced by ultrafine diamond grits. Scripta Mater 67:197–200

    Article  Google Scholar 

  19. Chen X, Rowe WB (1996) Analysis and simulation of the grinding process: part I: generation of the grinding wheel surface. Int J Mach Tools Manuf 38(8):871–882

    Article  Google Scholar 

  20. Koshy P, Jain VK, Lal GK (1997) Stochastic simulation approach to modelling diamond wheel topography. Int J Mach Tool Manuf 37(6):751–761

    Article  Google Scholar 

  21. Koshy P, Jain VK, Lal GK (1993) A model for the topography of diamond grinding wheels. Wear 169(2):237–242

    Article  Google Scholar 

  22. Torrance AA, Badger JA (2000) The relation between the traverse dressing of vitrified grinding wheels and their performance. Int J Mach Tool Manuf 40(12):1787–1811

    Article  Google Scholar 

  23. Hegeman JBJ-W (2000) Fundamentals of grinding—surface conditions of ground materials. University of Groningen, Netherlands

    Google Scholar 

  24. Wang Y, Moon KS (1997) A methodology for the multi-resolution simulation of grinding wheel surface. Wear 211:218–225

    Article  Google Scholar 

  25. Balasz B, Szatkiewicz T, Krolikowski T (2007) Grinding wheel topography modeling with application of an elastic neural network. Advanced intelligent computing theories and applications. With aspects of artificial intelligence. Lect Notes Comput Sci 4682:83–90

    Article  Google Scholar 

  26. Aurich JC, Herzenstiel P, Sudermann H, Magg T (2008) High-performance dry grinding using a grinding wheel with a defined grain pattern. CIRP Ann Manuf Technol 57:357–362

    Article  Google Scholar 

  27. Chakrabarti S, Paul S (2008) Numerical modelling of surface topography in superabrasive grinding. Int J Adv Manuf Technol 39:29–38

    Article  Google Scholar 

  28. Rao RV (2011) Advanced modeling and optimization of manufacturing processes. Springer, London

    Book  Google Scholar 

  29. Li X, Lu Y, Li Q, Li F, Rong YK (2013) The study on the influences of superabrasive grain spatial orientation for microcutting processes based on response surface methodology. Int J Adv Manuf Technol 67(5–8):1527–1536

    Article  Google Scholar 

  30. Stephens MA (1974) EDF statistics for goodness of fit and some comparisons. J Am Stat Assoc 69:730–737

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sebastian Wolf.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Li, X., Wolf, S., Zhi, G. et al. The modelling and experimental verification of the grinding wheel topographical properties based on the ‘through-the-process’ method. Int J Adv Manuf Technol 70, 649–659 (2014). https://doi.org/10.1007/s00170-013-5301-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-013-5301-6

Keywords

Navigation