New model for predicting Instantaneous Cutting Rate of axial-type roadheaders

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.

[1]  Kourosh Shahriar,et al.  A model to predict the performance of roadheaders based on the Rock Mass Brittleness Index , 2011 .

[2]  Kurosch Thuro PREDICTING ROADHEADER ADVANCE RATES: GEOLOGICAL CHALLENGES AND GEOTECHNICAL ANSWERS , 2003 .

[3]  H. Copur,et al.  Dominant rock properties affecting the performance of conical picks and the comparison of some experimental and theoretical results , 2006 .

[4]  Kamran Goshtasbi,et al.  Predictive Models for Roadheaders' Cutting Performance in Coal Measure Rocks , 2011 .

[5]  R. J. Fowell,et al.  Prediction of Boom Tunnelling Machine Excavation Rates , 1994 .

[6]  H GehringK,et al.  ロードヘッダーの切削能力比較 | 文献情報 | J-GLOBAL 科学技術総合リンクセンター , 1989 .

[7]  Nuh Bilgin,et al.  ROADHEADERS GLEAN VALUABLE TIPS FOR ISTANBUL METRO , 1990 .

[8]  D. Tumac,et al.  Prediction of roadheader performance by artificial neural network , 2014 .

[9]  Cemal Balci,et al.  Performance prediction of roadheaders in metallic ore excavation , 2014 .

[10]  Kourosh Shahriar,et al.  A Universal Model to Predict Roadheaders' Cutting Performance / Uniwersalny Model Do Prognozowania Postępu Prac Kombajnów Do Drążenia Tuneli , 2012 .

[11]  Yazdani-Chamzini Abdolreza,et al.  A new model to predict roadheader performance using rock mass properties , 2013 .

[12]  Jamal Rostami,et al.  ROADHEADER APPLICATIONS IN MINING AND TUNNELING , 1998 .

[13]  Wallace W. Roepke,et al.  Coal-cutting forces and primary dust generation using radial gage cutters. Report of investigations/1983 , 1983 .

[14]  H. Copur,et al.  Some geological and geotechnical factors affecting the performance of a roadheader in an inclined tunnel , 2004 .

[15]  H. Copur,et al.  Specific energy as a criterion for the use of rapid excavation systems in Turkish mines , 2001 .

[16]  Arash Ebrahimabadi,et al.  Prediction of roadheaders' performance using artificial neural network approaches (MLP and KOSFM) , 2015 .

[17]  Abdolreza Yazdani-Chamzini,et al.  Predicting roadheader performance by using artificial neural network , 2013, Neural Computing and Applications.

[18]  Jamal Rostami,et al.  Performance prediction: a key issue in mechanical hard rock mining , 1995 .

[19]  Zhang Meng-qi Study on Cutting Head Moving Speed of Mine Roadheader Determined Based on Pick Tracing , 2012 .