Abstract
Roadheaders are mechanical excavators which have been extensively used in tunneling, mining and civil engineering works. Performance prediction of the roadheader is major factor in determining the economy of an underground excavation project. In this study, a new model for predicting the Instantaneous Cutting Rate (ICR) has been developed. The performance of EBZ260W axialtype roadheader has been evaluated in the laboratory artificial rock cutting tests and in the tunneling field tests. Using the model, the processes of the artificial rock cutting in the laboratory tests have also been simulated. The predicted average ICRs in the laboratory tests, and in the simulations, together with the measured average ICRs in the laboratory tests and in the field tests are presented in this paper. The comparison of the predicted and measured ICRs shows that the relative error is within 5%. There are also reasonable agreements and strong correlations between the model and tests results. The new ICR prediction model is also supported by the empirical prediction formulas developed by other researchers. Hence, the model can be used to reliably predict the ICR for axial-type roadheaders.
Similar content being viewed by others
References
Avunduk, E., Tumac, D., and Atalay, A. K. (2014). “Prediction of roadheader performance by artificial neural network.” Tunnelling and Underground Space Technology, Vol. 44, pp. 3–9, DOI: 10.1016/j.tust.2014.07.003.
Balci, C., Demircin, M. A., Copur, H., and Tuncdemir, H. (2004). “Estimation of optimum specific energy based on rock properties for assessment of roadheader performance.” The Journal of The South African Institute of Mining and Metallurgy, Vol. 104, No. 11, pp. 633–643, DOI: 10.1007/s00603-006-0108-5.
Bilgin, N., Demircin, M. A., Copur, H., Balci, C., Tuncdemir, H., and Akcin, N. A. (2006). “Dominant rock properties affecting the performance of conical picks and the comparison of some experimental and theoretical results.” International Journal of Rock Mechanics and Mining Sciences, Vol. 43, No. 1, pp. 139–156, DOI: 10.1016/j.ijrmms.2005.04.009.
Bilgin, N., Dincer, T., Copur, H., and Erdogan, M. (2004). “Some geological and geotechnical factors affecting the performance of a roadheader in an inclined tunnel.” Tunnelling and Underground Space Technology, Vol. 19, No. 6, pp. 629–636, DOI: 10.1016/j.tust.2004.04.004.
Bilgin, N., Kuzu, C., Eskikaya, S., and Ozdemir, L. (1997). “Cutting performance of jack hammers and roadheaders in Istanbul Metro drivages.” In: World Tunnel Congress 1997 on Tunnels for People, Vienna, Austria, pp. 455–460.
Bilgin, N., Seyrek, T., and Shahriar, K. (1988). “Roadheader performance in Istanbul, Golden Horn clean-up contributes valuable data.” Tunnels and Tunnelling (June), pp. 41–44.
Bilgin, N., Seyrek, T., Erdinc, E., and Shahriar, K. (1990). “Roadheaders glean valuable tips for Istanbul Metro.” Tunnels and Tunnelling (October), pp. 29–32.
Comakli, R., Kahraman, S., and Balci, C. (2014). “Performance prediction of roadheaders in metallic ore excavation.” Tunnelling and Underground Space Technology, Vol. 40, pp. 38–45, DOI: 10.1016/j.tust.2013.09.009.
Copur, H., Ozdemir, L., and Rostami, J. (1998). “Roadheader applications in mining and tunnelling.” Mining Engineering, Vol. 50, No. 3, pp. 38–42.
Copur, H., Rostami, J., Ozdemir, L., and Bilgin, N. (1997). “Studies on performance prediction of roadheaders.” In: Preceedings of the 4th International Symposium on Mine Mechanization and Automation, Brisbane, Queensland, Australia, July 1997, pp. 4A1–4A7.
Copur, H., Tuncdrmir, H., Bilgin, N., and Dincer, T. (2001). “Specific energy as a criterion for the use of rapid excavation systems in Turkish mines.” Mining Technology, Vol. 110, No. 3, pp. 149–157.
Ebrahimabadi, A., Azimipour, M., and Bahreini, A. (2015). “Prediction of roadheaders’ performance using artificial neural network approaches.” Journal of Rock Mechanics and Geotechnical Engineering, Vol. 7, No. 5, pp. 573–583, DOI: 10.1016/j.jrmge.2015.06.008.
Ebrahimabadi, A., Goshtasbi, K., Shahriar, K., and Cheraghi Seifabad, M. (2011). “A model to predict the performance of roadheaders based on rock mass brittleness index.” The Journal of the South African Institute of Mining and Metallurgy, Vol. 111, No. 5, pp. 355–364.
Ebrahimabadi, A., Goshtasbi, K., Shahriar, K., and Cheraghi Seifabad, M. (2011). “Predictive models for roadheader’s cutting performance in coal measure rocks.” Yerbilimleri, Vol. 32, No. 2, pp. 89–104.
Ebrahimabadi, A., Goshtasbi, K., Shahriar, K., and Cheraghi Seifabad, M. (2012). “A universal model to predict roadheaders’ cutting performance.” Archives of Mining Sciences, Vol. 57, No. 4, pp. 1015–1026, DOI: 10.2478/v10267-012-0067-5.
Fowell, R. J., Mcfeat-Smith, I. (1976). Factors influencing the cutting performance of a selective tunnelling machine. Tunnelling 76 Symposium, London, March, pp. 301–309.
Fowell, R. J., Richardson G., and Gollick, M. J. (1994). “Prediction of boom tunnelling machine excavation rates.” In:1st North Americal Rock Mechanics Symposium, Rock Mechanics Models and Measurement Challenges from Industry, Austin, USA, May 1994, pp. 243–251.
Gehring, K. H. (1989). “A cutting comparison.” Tunnels and Tunnelling, pp. 27–30.
Huang, R. H. (1996). “Boom type roadheader.” Xuzhou: China University of Mining and Technology press, pp. 44–50. (in Chinese)
Roepke, W. W. and Voltz, J. I. (1983). “Coal cutting forces and primary dust generation using radial gage cutters.” US Department of the Interior, Bureau of Mines, pp. 19–24.
Rostami, J. and Ozdemir, L. (1996). “Modeling for design and performance analysis of mechanical excavators.” In: Proceedings of the Conference on Mechanical Excavation’s Future Role in Mining, World Rock Boring Association, Sudbury, Ont., Canada, September, pp. 17–19.
Rostami, J., Ozdemir, L., and Neil, D. M. (1994). “Performance prediction: A key issue in mechanical hard rock mining.” Mining Engineering, Vol. 46, No. 11, pp. 1263–1267.
Salsani, A., Daneshian, J., Shariati, S., Yazdani-Chamzini, A., and Taheri, M. (2013). “Predicting roadheader performance by using artificial neural network.” Neural Computing and Applications, Vol. 24, No. 7–3, pp. 1823–1831, DOI: 10.1007/s00521-013-1434-7.
Thuro, K. (2003). “Predicting roadheader advance rates: Geological challenges and geotechnical answers.” In:Proceedings of 50th years Symposium of The Faculty of Mines, pp. 1241–1247.
Thuro, K. and Plinninger, R. J. (1999). “Predicting roadheader advance rates.” Tunnels and Tunnelling, Vol. 31, pp. 36–39.
Yazdani-Chamzini, A. and Siamak-Haji, Y. (2013). “A new model to predict roadheader performance using rock mass properties.” Journal of Coal Science and Engineering, Vol. 19, No. 1, pp. 51–56, DOI: 10.1007/s12404-013-0109-4.
Zhang, M. Q. (2012). “Study on cutting head moving speed of mine roadheader determined based on pick tracing.” Coal Science and Technology, Vol. 40, No. 8, pp. 71–74, DOI: 10.13199/j.cst.2012. 08.74.zhangmq.024 (in Chinese).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Zhang, Q., Han, Z., Zhang, M. et al. New model for predicting Instantaneous Cutting Rate of axial-type roadheaders. KSCE J Civ Eng 21, 168–177 (2017). https://doi.org/10.1007/s12205-016-0433-5
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12205-016-0433-5