The performance prediction of roadheaders with response surface analysis for underground metal mine
Keywords:
Machine performance prediction, response surface method (RSM), roadheaders, underground metal mine.Abstract
Roadheaders are being used in development roads in underground mines. Especially, as total reserve is enough for large investments and mine roads, roadheaders are important to increase production rate. Roadheaders are classified according to the weight head drive or total power. In this study, the effects of several factors on roadheader performance isexamined. The factors examined are power of the machine, weight of the machine, ratio of power to weight, drilling rate index, uniaxial compressive strength and rock mass rating. Instantaneous cutting ratio is used to define the performance of the machine. Response surface methodology and linear regression are used to investigate the relations between these variables. In the results of the study, machine performance is found to be highly correlated with machine power (P),
weight (W) and the P/W ratio of the machine.
References
H. Tuncdemir, N. Bilgin, Investigation of using Roadheader in Ore Excavation, itüdergisi/d, Vol. 1, No: 2, pp. 14-26, 2002 (in Turkish).
I. Ocak, N. Bilgin, Comparative Studies on the Performance of a Roadheader, Impact Hammer and Drilling and Blasting Method in the Excavation of Metro Station Tunnels in Istanbul, Tun. Und. Spa. T. 25: 181-187, 2010.
H. Ergin, O. Acaroglu, The Effect of Machine Design Parameters on the Stability of a Roadheader, Tunnelling and Underground Space Technology, Volume 22, Issue 1, pp. 80-89, 2007.
M.E. Breitrick, Using a Roadheader for Underground Gold Mining, Min. Eng., 43–46, 1998.
H. Copur, L. Ozdemir, J. Rostami, Roadheader Applications in Mining and Tun. Ind., The Min. Eng. 38-42, 1998.
D.M. Neil, J. Rostami, L. Ozdemir, R. Gertsch, Production Estimating Techniques for Underground Mining using Roadheaders, SME/AIME Meeting, New Mexico, 1994.
A. Tucker, Improvement of Potential in Mining Development and Tunneling Systems in the National Coal Board, The Min. Eng. pp. 663-669, 1985.
K. Thuro, R.J. Plinninger, Geological Limits in Roadheader Excavation – Four Case Studies, 8th Int. IAEG Congress, Rotterdam, pp. 21-25, 1998.
R.J. Fowell, , S.T. Johnson, Rock Classification and Assessment for Rapid Excavation, Proc. of the Symp. on Strata Mech., Newcastle Upon Tyne, pp. 241-244, 1982.
H. Schneider, Criteria for Selecting a Boom-type Roadheading, Min. Magazine, Sept., pp. 183-187, 1988.
J. Rostami, L. Ozdemir, D.M. Neil, Performance Prediction: A Key Issue in Mechanical Hard Rock Mining, Min. Eng., 1263–1267, 1994.
J. Rostami, Mechanical Rock Breaking, SME Society Mining Engineering Handbook , Darling, P., (Ed.), Third Edition, 417–434, 2011.
G. Riedmuller, W. Schubert, Tunneling in Fault Zones–Innovative Approaches, In: Pacific Rocks, Girard, Liebman, Breeds, Doe (Eds.), Balkema, Rotterdam, pp. 113–124, 2000.
K. Thuro, R.J. Plinninger, Roadheader Excavation Performance – Geological and Geotechnical İnfluences, 9th ISRM Congress Paris, Theme 3: Rock dynamics and tectonophysics/Rock cutting and drilling, 25-28, 1999.
O.Z. Hekimoglu, Studies in the Excavation of Selected Rock Materials with Mechanical Tools, Ph.D. thesis, Uni. of Newcastle Upon Tyne, 342 p, 1984.
I. McFeat-Smith, R.J. Fowell, The Selection and Application of Roadheaders for Rock Tunnelling. In: Proceedings of the Rapid Excavation and Tunnelling Conference, Atlanta, vol. 1, pp. 261–279, 1979.
N. Bilgin, T. Seyrek, E. Erdinc, K. Shahriar, Roadheaders clean valuable tips for Istanbul Metro. Tunnels Tunnell., 29–32, 1990.
N. Bilgin, S. Yazıcı, Ş. Eskikaya, A Model to Predict the Performance of Roadheaders and Impact Hammers in Tunnel Drivages, EUROCK ’96, pp. 710-721, 1996.
N. Bilgin, C., Kuzu, Ş. Eskikaya, L. Özdemir, Cutting Performance of Jackhammers and Roadheaders in İstanbul Metro Drivages, World Tun. Congress, 1997.
Ş. Eskikaya, N. Bilgin, T. Dincer, L. Ozdemir, A model to predict the cutting performance of rapid excavation systems, Pro. of the 7. Int. Sym. on Mine Planning and Eq. S., Calgary: 575–579. Rotterdam: 1998.
E. Avunduk, D. Tumac, A.K. Atalay, Prediction of Roadheader Performance by Artificial Neural Network, Tunnelling and Underground Space Technology 44, 3-9, 2014.
K.H. Gehring, A cutting comparison, Tunnels & Tunneling, November, pp. 27-30, 1989.
G.E.P. Box, K.B. Wilson, On the Experimental Attainment of Optimum Conditions (with discussion). Journal of the Royal Statistical Society Series B 13(1):1–45, 1951.
Minitab (2013). Statistical Analysis Program. Canada.
