Finite element analysis of load characteristic of shield bolter miner cutting head under complex coal seam condition
1
Central South University
2
Institute of Light Alloy, Central South University
3
China Railway Construction Heavy Industry Co., LTD
4
State Key Laboratory of High Performance Complex Manufacturing
Corresponding author
Shuo Qiao
Central South University, Institute of Light Alloy, Central South University, Changsha, 410083 Changsha, China
Central South University, Institute of Light Alloy, Central South University, Changsha, 410083 Changsha, China
Mining Science 2017;24:85-97
KEYWORDS
TOPICS
Application of fundamental science to miningMine engineering and construction, underground constructionMining geomechanics and geotechnics
ABSTRACT
Aiming at the complex conditions of the first shielded bolter miner in the actual work, the mechanical model of bolter miner cutting head was established. Based on cutting mechanism of the conical pick and the cutting head, the cutting head load and torque analysis model under complex coal seam were established. The dynamic characteristics of load and torque in the process of cutting head are analyzed under three different working conditions of cutting roof-coal layers, coal-floor layers and coal seam by finite element method. The results show that when the damage variable D=1, the coal-rock completely lacks the bearing capacity, and it forms arc-shaped crushing groove on the coal-rock. The large difference of torque between roof-coal layers and the roof-coal layers in the conical pick is 112N•m, which indicates that the cutting head has the best performance with cutting the coal seam first and then cutting the rock. In the process of excavation, the load fluctuation coefficient of cutting the coal-floor layers and roof-coal layers is about 1.2 times of that of the coal seam. The results can provide a reference for the efficient cutting and performance evaluation of the bolter miner.
REFERENCES (21)
1.
J. S. Jang, W. S. Yoo, H. Kang, et al, 2016. Cutting head attachment design for improving the performance by using multibody dynamic analysis. International Journal of Precision Engineering and Man-ufacturing, Vol.17, No.3, 371-377.
2.
Q. Q. Zhang, Z. N. Han, M. Q. Zhang, et al, 2016. Experimental study of breakage mechanisms of rock induced by a pick and associated cutter spacing optimization. Rock and Soil Mechanics, Vol.37, No.8, 2172−2179.
3.
Bertignoll, H. Ing, 1995, Alpine bolter miner Austrian technology for rapid roadway development. Mining Technology, Vol.77, No.886, 163-165.
4.
Vierhaus, Rainer, 2002. Development of a high-performance drivage by "Bolter-Miner" technology. Gluckauf: Die Fachzeitschrift fur Rohstoff, Bergbau und Energie, Vol.138, No.9, 425-429.
5.
Leeming, J, Flook. S, Altounyan. P, 2001. Bolter miners for longwall development. Gluckauf: Die Fach-zeitschrift fur Rohstoff, Bergbau und Energie, Vol.137, No.11, 633−637.
6.
Mogk, Eberhard, Kulassek, Michael, 2002. Bolter miner operation at Walsum colliery. Gluckauf: Die Fachzeitschrift fur Rohstoff, Bergbau und Energie, Vol.138, No.9, 436-440.
7.
S. Yasar, A. O. Yilmaz, 2017. A novel mobile testing equipment for rock cuttability assessment: Vertical Rock Cutting Rig (VRCR). Rock Mech and Rock Eng, Vol.50, 857-869.
8.
W. Shao, X. S. Li, Y. Sun, et al, 2017. Parametric study of rock cutting with SMART∗CUT picks. Tunnel-ling and Underground Space Technology, Vol.61, 134-144.
9.
C. Balci, N. Bilgin, 2007. Correlative study of linear small and full-scale rock cutting tests to select mechanized excavation machines. International Journal of Rock Mechanics & Mining Sciences, Vol.44, 468-476.
10.
N. Bilgin, M. A. Demircin, H. Copur, et al, 2006. Dominant rock properties affecting the performance of conical picks and the comparison of some experimental and theoretical results. International Journal of Rock Mechanics & Mining Sciences, Vol.43, 139-156.
11.
C. L. Du, S. Y. Liu, X.X Cui, et al, 2008. Study on pick arrangement of shearer drum based on load fluctuation. J China Univ Mining & Technol, Vol.18, 305-310.
12.
X. H. Li, T. Li, L. Jiao, et al, 2016. Development of cutting load simulation system and its simulation study on drum shearer. Journal of China coal society, Vol.41, No.2, 502-506.
13.
W. Li, C. M. Luo, H. Yang, et al, 2014. Memory cutting of adjacent coal seams based on a hidden Markov model. Arab J Geosci, Vol.7, No.1, 5051–5060.
14.
S. A. Heydarshahy and S. Karekal, 2017. Investigation of PDC cutter interface geometry using 3D FEM modelling. International Journal of Engineering Research in Africa, Vol.29, 45-53.
15.
W.J. Yu, S.H. Du, W.J. Wang, 2014. Prediction of instability and mechanism of multi-factor comprehen-sive action on mine goaf. International Journal of Engineering Research in Africa, Vol.13, 39−48.
16.
T. Xu, P.G. Ranjith, S.K. Au, et al, 2015. Numerical and experimental investigation of hydraulic fracturing in Kaolin clay. Journal of Petroleum Science and Engineering, Vol.134, 223-236.
17.
Y. M. Xia, J. Xue, X. W. Zhou, 2011. Rock fragmentation process and cutting characteristics on shield cutter. Journal of Central South University, Vol.42, No.4, 954-959.
18.
Y. J. Yang, D. C. Wang, B. Li, et al, 2015. Acoustic emission characteristics of coal damage failure under triaxial compression. Journal of Basic Science and Engineering, Vol.23, No.1, 127-135.
19.
D. K. Wang, G. Z. Yin, J. Liu, et al, 2010. Elastoplastic damage coupled model for gas-saturated coal under triaxial compression. Chinese Journal of Geotechnical Engineering, Vol.1, 55-60.
20.
X. H. Zhu, H. Li, 2015. Numerical simulation on mechanical special energy of PDC cutter rock-cutting. Journal of Basic Science and Engineering, Vol.23, No.1, 182-191.
21.
J. Q. Jiang, J. Dai, 2013. Failure law and application of complex structure thin coal seam mining face. Journal of China Coal Society, Vol.38, No.11, 1912-1916.
| eISSN: | 2353-5423 |
| ISSN: | 2300-9586 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
