Log in

Prediction of Cutting Performance of Diamond Wire Saw Machine in Quarrying of Marble: A Neural Network Approach

  • Technical Note
  • Published:
Rock Mechanics and Rock Engineering Aims and scope Submit manuscript

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

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

References

  • Bortolussi A, Ciccu R, Manca PP, Massacci G (1994) Computer simulation of diamond wire cutting of hard and abrasive rock. Trans Instn Min Metal, May–August, pp A124–A128

  • Gunaydin O, Kahraman S, Fener M (2004) Sawability prediction of carbonate rocks from brittleness indexes. J S Afr Inst Min Metall 104:239–244

    Google Scholar 

  • International Society for Rock Mechanics (1981) Rock characterization, testing and monitoring: ISRM suggested methods. Pergamon, Oxford

  • Kahraman S, Fener M, Gunaydin O (2004) Predicting the sawability of carbonate rocks using multiple curvilinear regression analysis. Int J Rock Min Sci 41:1123–1131

    Article  Google Scholar 

  • Kahraman S, Altun H, Tezekici BS, Fener M (2005) Sawability prediction of carbonate rocks from shear strength parameters using artificial neural networks. Int J Rock Min Sci 41:157–164

    Google Scholar 

  • Wright DN, Engels JA (2003) The environmental and cost benefits of using diamond wire for quarrying and processing of natural stone. Industrial Diamond Review, 4/03, pp 16–24

    Google Scholar 

  • Wright DN, Tagg WRJ, Davis PR (2000) The development of a rock classification system for use with diamond tools. Conference Souvenir Stonemart 2000, 2–6 Feb, Jaipur, pp 109–128

  • Yonghun J, Chungin L (2002) Application of neural networks to prediction of powder factor and peak particle velocity in tunnel blasting. ISEE Proc 2:68–76

    Google Scholar 

Download references

Acknowledgments

The authors are deeply grateful to the management of M/s R.K. Marble (P) Ltd., Udaipur (India) for permitting them to carry out field research study at their mines.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. C. Jain.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Jain, S.C., Rathore, S.S. Prediction of Cutting Performance of Diamond Wire Saw Machine in Quarrying of Marble: A Neural Network Approach. Rock Mech Rock Eng 44, 367–371 (2011). https://doi.org/10.1007/s00603-011-0137-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00603-011-0137-6

Keywords

Navigation