Particle size distribution of coal and gangue after impact-crush separation

Abstract

Based on the separation and backfilling system of coal and gangue, the mineral material impact experiments were conducted utilizing the hardness difference between coal and gangue according to the uniaxial compression experiments. The broken coal and gangue particles were collected and screened by different size meshes. The particle size distributions of coal and gangue under different impact velocities were researched according to the Rosin-Rammler distribution. The relationships between separation indicators and impact velocities were discussed. It is found from experiments that there is a fully broken boundary of coal material. The experimental results indicate that the Rosin-Rammler distribution could accurately describe the particle size distribution of broken coal and gangue under different impact velocities, and there is a minimum overlap region when the impact velocity is 12.10 m/s which leads to the minimum mixed degree of coal and gangue, and consequently the benefit of coal and gangue separation.

Keywords

Rosin-Rammler distribution / impact crush / separation indicator / coal and gangue / separation and backfilling system

References

[1] TripathyS K, BhojaS K, KumarC R, SureshN. A short review on hydraulic classification and its development in mineral industry [J]. Powder Technology, 2015, 270: 205-220

[2] WangX-m, ZhaoB, ZhangC-s, ZhangQ-li. Paste-like self-flowing transportation backfilling technology based on coal gangue [J]. Mining Science and Technology, 2009, 19(2): 137-143

[3] GuoG-l, ZhaJ-f, MiaoX-x, WangQ, ZhangX-ni. Similar material and numerical simulation of strata movement laws with long wall fully mechanized gangue backfilling [J]. Procedia Earth and Planetary Science, 2009, 1(1): 1089-1098

[4] QianM-g, MiaoX-x, XuJ-lin. Green mining of coal resources harmonizing with environment [J]. Journal of China Coal Society, 2007, 32(1): 1-7

[5] MiaoX-x, QianM-gao. Research on green mining of coal resources in China: current status and future prospects [J]. Journal of Mining and Safety Engineering, 2009, 26(1): 1-14

[6] XieH-p, WangJ-h, ShenB-h, LiuJ-z, JiangP-f, ZhouH-w, LiuH, WuGang. New idea of coal mining: Scientific mining and sustainable mining capacity [J]. Journal of China Coal Society, 2012, 37(7): 1069-1079

[7] XuQ, ZhangY-chuan. A novel automated separator based on dual energy gamma-rays transmission [J]. Measurement Science and Technology, 2000, 11(9): 1383-1388

[8] XuQ, LiK, ChengJ-jing. Adaptive fuzzy pattern recognition of coal and gangues based on niche genetic algorithm [J]. Journal of Huazhong University of Science and Technology, 2003, 31(12): 22-24

[9] DingK-j, LaskowskiJ S. Coal reverse flotation, Part I: Separation of a mixture of subbituminous coal and gangue minerals [J]. Minerals Engineering, 2006, 19(1): 79-86

[10] LuoZ-f, FanM-m, ZhaoY-m, TaoX, ChenQ-r, ChenZ-qiang. Density-dependent separation of dry fine coal in a vibrated fluidized bed [J]. Powder Technology, 2008, 187(2): 119-123

[11] MaL-q, LiY-sheng. The clean production technology of replacement of coal gangue in coal mine [J]. Journal of China Coal Society, 2010, 35(5): 816-819

[12] HeJ, ZhaoY, HeY-q, LuoZ, DuanC-long. Separation performance of raw coal from South Africa using the dense gas-solid fluidized bed beneficiation technique [J]. Journal-South African Institute of Mining and Metallurgy, 2012, 113(7): 1-8

[13] HeM, WangP-p, JiangH-hui. Recognition of coal and stone based on SVM and texture [J]. Computer Engineering and Design, 2012, 33(3): 1117-1121

[14] XuJ, WangF-wen. Study of automatic separation system of coal and gangue by ir image recognition technology [M]. Advances in Automation and Robotics, 2012, 2: 87-92

[15] MiaoX-x, ZhangJ-xiong. Key technologies of integration of coal mining-gangue washing-backfilling and coal mining [J]. Journal of China Coal Society, 2014, 39(8): 1424-1433

[16] ZhengG-b, KangT-h, YinZ-h, ZhangC-m, DuanJun. Research on dust size distribution of coal impacted with different forms [J]. Journal of Mining and Safety Engineering, 2007, 24(1): 96-100

[17] ZhengG-b, KangT-h, ChaiZ-y, YinZ-hong. Applied the Rosin-Rammler Distribution function to study on the law of coal dust particle-size distribution [J]. Journal of Taiyuan University of Technology, 2006, 37(3): 317-319

[18] LiJ-p, DuC-l, XuL-jiang. Impactive crushing and separation experiment of coal and gangue [J]. Journal of the China Coal Society, 2011, 36(4): 687-690

[19] LiJ-p, DuC-l, BaoJ-wei. Direct-impact of sieving coal and gangue [J]. Mining Science and Technology, 2010, 20(4): 611-614

[20] LuoC-x, DuC-l, XuL-j, ZhengK-hong. Fractal distribution studies of a rotary crushing mechanism [J]. Recent Patents on Mechanical Engineering, 2014, 7(1): 44-51

[21] ZhengK-h, DuC-l, YangD-long. Orthogonal test and support vector machine applied to influence factors of coal and gangue separation [J]. International Journal of Coal Preparation and Utilization, 2014, 34(2): 75-84

[22] LiJ-p, YangD-l, DuC-long. Evaluation of an underground separation device of coal and gangue [J]. International Journal of Coal Preparation and Utilization, 2013, 33(4): 188-193

[23] LiJ-p, ZhengK-h, DuC-long. The distribution discipline of impact crushed on coal and gangue [J]. Journal of China Coal Society, 2013, 38(1): 54-58

[24] GaoK-d, DuC-l, WangH-x, ZhangS-bo. An efficient of coal and gangue recognition algorithm [J]. International Journal of Signal Processing, Image Processing and Pattern Recognition, 2013, 4(6): 345-354

[25] ZhengK-h, DuC-l, LiJ-p, QiuB-j, YangD-long. Underground pneumatic separation of coal and gangue with large size (=50 mm) in green mining based on the machine vision system [J]. Powder Technology, 2015, 278: 223-233

[26] DuC-l, JiangH-x, LiuS-yong. Research on variable linear vibration screen with flexible screen face of separator for coal and gangue underground [J]. Journal of China Coal Society., 2013, 38(3): 493-497

[27] SelbigW R, FienenM N. Regression modeling of particle size distributions in urban storm water: advancements through improved sample collection methods [J]. Journal of Environmental Engineering, 2014, 138(12): 1186-1193

[28] KashaniA, NicolasR S, QiaoG G, JannieS J, JohnL P. Modelling the yield stress of ternary cement–slag–fly ash pastes based on particle size distribution [J]. Powder Technology, 2014, 266(6): 203-209

[29] StoyanD. Weibull, RRSB or extreme-value theorists? [J]. Metrika, 2013, 76(2): 153-159

[30] AlderliestenM. Mean particle diameters. Part VII. The rosin-rammler size distribution: physical and mathematical properties and relationships to moment-ratio defined mean particle diameters [J]. Particle and Particle Systems Characterization, 2013, 30(3): 244-257

[31] KondolfG M, AdhikariA. Weibull vs. lognormal distributions for fluvial gravels [J]. Journal of Sedimentary Research, 2000, 70(3): 456-460

[32] FengJ-r, LiuZ-h, WangC-s, LiZ-h. Experimental study on the critical parameter on the crush of mixture of coal and gangue [J]. Journal of Taiyuan University of Technology, 2006, 37(1): 42-43