The accurate performance evaluation of a cutterhead is essential to improving cutterhead structure design and predicting project cost. Through extensive research, this paper evaluates the performance of a tunnel boring machine (TBM) cutterhead for cutting ability and slagging ability. This paper propose cutting efficiency, stability, and continuity of slagging as the evaluation indexes of comprehensive cutterhead performance. On the basis of research of true TBM engineering applications, this paper proposes a calculation method for each index. A slagging efficiency index with a ratio of the maximum difference between the slagging amount and average slagging is established. And a slagging stability index with a ratio of the maximum slagging fluctuation and average slagging is presented. Meanwhile, a cutting efficiency index by the weighed average value of multistage rock fragmentation of a cutter’s specific energy is established. The Robbins and China Railway Construction Corporation (CRCC) cutterheads are evaluated. The results show that under the same thrust and torque, the slagging stability of the CRCC scheme is worse, but the slagging continuity of the CRCC scheme is better. The cutting ability index shows that the CRCC cutterhead is more efficient.
Ye Zhu
,
Wei Sun
,
Junzhou Huo
,
Zhichao Meng
. A New System to Evaluate Comprehensive Performance of Hard-Rock Tunnel Boring Machine Cutterheads[J]. Chinese Journal of Mechanical Engineering, 2019
, 32(6)
: 103
-103
.
DOI: 10.1186/s10033-019-0410-2
The accurate performance evaluation of a cutterhead is essential to improving cutterhead structure design and predicting project cost. Through extensive research, this paper evaluates the performance of a tunnel boring machine (TBM) cutterhead for cutting ability and slagging ability. This paper propose cutting efficiency, stability, and continuity of slagging as the evaluation indexes of comprehensive cutterhead performance. On the basis of research of true TBM engineering applications, this paper proposes a calculation method for each index. A slagging efficiency index with a ratio of the maximum difference between the slagging amount and average slagging is established. And a slagging stability index with a ratio of the maximum slagging fluctuation and average slagging is presented. Meanwhile, a cutting efficiency index by the weighed average value of multistage rock fragmentation of a cutter’s specific energy is established. The Robbins and China Railway Construction Corporation (CRCC) cutterheads are evaluated. The results show that under the same thrust and torque, the slagging stability of the CRCC scheme is worse, but the slagging continuity of the CRCC scheme is better. The cutting ability index shows that the CRCC cutterhead is more efficient.
[1] Qijun Zhang, Zhonghai Zhang, Hong Zhang.Approach of tunnel TBM technology and market demand in China.Trenchless Technology, 2003(4):76-80.
[2] Qihu Qian, Zhaofu Li, Deming Fu.The present and prospect of application of tunneler in China's underground engineering.Underground Space, 2002, 22(1):1-11.
[3] H Haeri, M F Marji.Simulating the crack propagation and cracks coalescence underneath TBM disc cutters.Arabian Journal of Geosciences, 2016, 9(2):1-10.
[4] J Huo, W Wang, W Sun, et al.The multi-stage rock fragmentation load prediction model of tunnel boring machine cutter group based on dense core theory.International Journal of Advanced Manufacturing Technology, 2016:1-13.
[5] P C Graham.Rock exploration for machine manufacturers.Exploration for Rock Engineering, 1976:173-180.
[6] I W Farmer, N H Glossop.Mechanics of disc cutter penetration.Tunnels and Tunnelling, 1980, 12(6):22-25.
[7] H M Hughes.The relative cuttability of coal-measures stone.Mining Science and Technology, 1986, 3(2):95-109.
[8] P Nelson.Tunnel boring machine performance in sedimentary rock.1983.
[9] J E O'Rourke, J E Springer, S V Coudray.Geotechnical parameters and tunnel boring machine performance at Goodwin tunnel, California.North American Rock Mechanics Symposium, 1994.
[10] J Rostami.Development of a force estimation model for rock fragmentation with disc cutters through theoretical modeling and physical measurement of crushed zone pressure.Colorado School of Mines, 1997.
[11] G L Dollinger, H J Handewith, C D Breeds.Use of the punch test for estimating TBM performance.Tunnelling & Underground Space Technology, 1998, 13(4):403-408.
[12] X Zhang, Y Xia, Y Zhang, et al.Experimental study on wear behaviors of TBM disc cutter ring under drying, water and seawater conditions.Wear, 2017:392-393.
[13] Y Xia, Y Tian, Q Tan, et al.Side force formation mechanism and change law of TBM center cutter.Journal of Central South University, 2016, 23:1115-1122.
[14] M Entacher, G Winter, T Bumberger, et al.Cutter force measurement on tunnel boring machines-System design.Tunnelling and Underground Space Technology, 2012, 31:97-106.
[15] M Entacher, G Winter, R Galler.Cutter force measurement on tunnel boring machines-Implementation at Koralm tunnel.Tunnelling and Underground Space Technology, 2013, 38:487-496.
[16] J Hassanpour, J Rostami, M Khamehchiyan, et al.Developing new equations for TBM performance prediction in carbonate-argillaceous rocks:a case history of Nowsood water conveyance tunnel.Geomechanics & Geoengineering an International Journal, 2009, 4(4):287-297.
[17] D I Mont.The influence of TBM design and machine features on performance and tool wear in rock.Geomechanik Und Tunnelbau, 2009, 2(2):140-155.
[18] J K Hamidi, K Shahriar, B Rezai, et al.Performance prediction of hard rock TBM using Rock Mass Rating (RMR) system.Tunnelling & Underground Space Technology, 2010, 25(4):333-345.
[19] J Hassanpour, J Rostami, J Zhao.A new hard rock TBM performance prediction model for project planning.Tunnelling & Underground Space Technology, 2011, 26(5):595-603.
[20] E Farrokh, J Rostami, C Laughton.Study of various models for estimation of penetration rate of hard rock TBMs.Tunnelling & Underground Space Technology, 2012, 30(4):110-123.
[21] M R Moradi, M A E Farsangi.Application of the risk matrix method for geotechnical risk analysis and prediction of the advance rate in rock TBM tunneling.Rock Mechanics & Rock Engineering, 2014, 47(5):1951-1960.
[22] E Ghasemi, S Yagiz, M Ataei.Predicting penetration rate of hard rock tunnel boring machine using fuzzy logic.Bulletin of Engineering Geology & the Environment, 2014, 73(1):23-35.
[23] Junzhou Huo, Dong Zhu, Guangqing Li, et al.Application of a small-timescale fatigue, crack-growth model to the plane stress/strain transition in predicting the lifetime of a tunnel-boring-machine cutter head.Engineering Failure Analysis, 2017, 71:11-30.
[24] Junzhou Huo, Nan Hou, Wei Sun, et al.Analyses of dynamic characteristics and structure optimization of tunnel boring machine cutter system with multi-joint surface.Nonlinear Dynamics, 2017, 87(1):237-254.
[25] Junzhou Huo, Hanyang Wu, Jing Yang, et al.Multi-directional coupling dynamic characteristics analysis of TBM cutterhead system based on tunnelling field test.Journal of Mechanical Science and Technology, 2015, 29(8):3043-3058.
[26] Junzhou Huo, Xiaolong Sun, Guangqing LI, et al.Multi-degree-of-freedom coupling dynamic characteristic of TBM disc cutter under shock excitation.Journal of Central South University, 2015, 22(9):3326-3337.
[27] Q Tao, J Kang, W Sun, et al.Digital evaluation of sitting posture comfort in human-vehicle system under Industry 4.0 framework.Chinese Journal of Mechanical Engineering, 2016, 29(6):1096-1103.
[28] W Bo, H Guan, Pingping Lu, et al.Novel evaluation method of vehicle suspension performance based on concept of wheel turn center.Chinese Journal of Mechanical Engineering, 2015, 28(5):935-944.
[29] M Entacher, E Schuller, R Galler.Rock failure and crack propagation beneath disc cutters.Rock Mechanics and Rock Engineering, 2015, 48(4):1559-1572.