Factors affecting thin coal seam shearer drum coal-loading performance by a model test method

Gao, Kuidong; Xu, Wenbo; Jiang, Shoubo; Du, Chenglie

doi:10.1007/s11771-019-4117-4

Cited by 15 publications

(9 citation statements)

References 18 publications

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“…Also, Yang et al 39 constructed 3D cloud maps of 135 typical coal particles with a 3D laser scanner, and provided a corresponding database. Therefore, combining the existing data and literature results 7 , the four-sphere filling model is selected for modeling the simulated particle shape in this paper, as shown in Fig. 3 b.…”

Section: Simulation Modelingmentioning

confidence: 99%

“…Realizing that the shape of hub also exerts a significant impact on coal loading performance, Ayhan 2 , 3 proposed a drum with a novel hub called, whose loading performance was improved to some extent compared to the drum with cylinder hub during in-situ test. Gao et al 4 – 7 investigated the rotational speed threshold of drum choking, as well as the regularity and significance of the influence of drum structure and motion parameters on the coal loading rate, demonstrating that the drum’s cutting depth and hauling speed had a significant impact on loading rate. Wydro 8 discussed the effect of material filling rate on the loading performance by building a loading test bed, and provided a basis for matching between rotational speed and hauling speed of the drum.…”

Section: Introductionmentioning

confidence: 99%

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Influence of coal cowl parameters on the coal loading process of thin coal seam shearer drum

Xu,

Zhang,

Gao

et al. 2024

Sci Rep

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The low loading rate of the thin coal seam shearer drum is a severe obstacle to the efficient mining of thin seam resources, and the auxiliary drum loading through the cowl is an effective measure to alleviate this situation. However, the working mechanism of the coal cowl still remains unclear. In this paper, with the help of the discrete element method and the modeling experiment method, the effects of coal cowl’s offset distance, tilt angle and wrap angle on the coal loading rate under different loading modes of the drum are investigated; and the significance of various factors and their interactions to the drum coal loading rate is explored by designing response surface experiments. The findings show that a monotonous negative correlation between the offset distance of the coal cowl and the coal loading rate is identified, and that a smaller offset distance can effectively improve the coal loading rate of the drum. The conveying torque is significantly increased, easily inducing the drum choking, coal recycling coal over-crushing. Along with the increasing tilt angle, the rate of ejection loading decreases monotonically, and the rate of pushing loading increases first and then decreases. Coal loading rate is weakly affected by changes in coal cowl’s wrap angle. The results of response surface analysis reveal that the most significant factors affecting the drum’s coal loading rate are tilt angle and offset distance in ejection and pushing loading modes, respectively. The conclusions drawn here offer implications for improving the coal loading performance of the thin coal seam shearer drum, as well as certain guidance on the optimal design of coal cowl parameters.

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Section: Simulation Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Influence of coal cowl parameters on the coal loading process of thin coal seam shearer drum

Xu,

Zhang,

Gao

et al. 2024

Sci Rep

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“…5,6 Gao et al used the modeling test method to obtain the coupling relationship of the key factors affecting the loading ratio of drum. 7 Ge et al established a multi-objective optimization model of shearer cutting performance by studying the cutting performance indexes of the shearer when mining and used a genetic algorithm to optimize the optimal traction-cutting motion parameters with changes in cutting impedance under normal coal seam, gangue seam, and rock fault circumstances, realizing safe operation and efficient mining of coal mining equipment under diverse cut-off working situations. 8 Zhang et al used the iterative method to establish a multi-parameter coupled optimization matching model for the optimal control of dust reduction in shearers, combined with the experimentally set final index, to determine the iterative termination conditions and obtain the results of optimizing the multi-cut parameters of shearers based on the lowest coal dust production.…”

Section: Introductionmentioning

confidence: 99%

“…By analyzing the influence of shearer traction speed, drum speed, spiral angle of blade, and cutting depth on the shearer's loading rate, lump coal rate, and specific energy of cutting, the parameters were optimized with genetic algorithm for back propagation neural network, which is capable to realize the efficient mining of a shearer 5,6 . Gao et al used the modeling test method to obtain the coupling relationship of the key factors affecting the loading ratio of drum 7 . Ge et al established a multi‐objective optimization model of shearer cutting performance by studying the cutting performance indexes of the shearer when mining and used a genetic algorithm to optimize the optimal traction‐cutting motion parameters with changes in cutting impedance under normal coal seam, gangue seam, and rock fault circumstances, realizing safe operation and efficient mining of coal mining equipment under diverse cut‐off working situations 8 .…”

Section: Introductionmentioning

confidence: 99%

Shearer parameter optimization and low energy consumption mining based on 3D point cloud characterization of coal wall

Wang,

Fan,

Huang

2024

Energy Science & Engineering

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To achieve efficient and low energy consumption mining under different cutting depths of a shearer, a multiparameter coupling optimization method for the shearer based on three‐dimensional (3D) characterization of the coal wall was proposed. First, a seven‐axis absolute articulated arm measuring machine was used to obtain 3D point cloud data of the coal wall, and then the 3D of the coal wall surface was reconstructed by using segmentation, filtering, and stitching processing, thereby obtaining the average thickness of different coal wall areas. Second, through the quadratic rotation regression orthogonal combination experiment, the optimal combination of drum speed, traction speed, and cutting depth was obtained, further obtaining the order of primary and secondary influences, and the regression model. Moreover, a particle swarm optimization algorithm was used to obtain the optimal drum speed and finally, the laboratory and field test experiments were conducted to verify the effectiveness of the proposed optimization algorithm in reducing the cutting energy consumption of shearer. The experiment results show that the given optimization algorithm can adaptively optimize the traction speed and drum speed based on the corresponding cutting depth, which significantly reduces the cutting specific energy consumption of the shearer. Thus, it provided an important technical means for the shearer to achieve low energy consumption and efficient mining.

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“…With the continuous in-depth research on the drum's coal loading performance, Liu and Gao [11,12] built a full-scale test bed and utilized it to investigate the drum loading performance. The orthogonal experiment method investigated the conspicuousness of drum rotational speed, helix angle, and hauling speed on the loading performance.…”

Section: Introductionmentioning

confidence: 99%

Loading Performance of a Novel Shearer Drum Applied to Thin Coal Seams

et al. 2021

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The poor loading performance of shearer drums restricts the development and production efficiency of coal in thin coal seams. Changing operation and structural parameters can improve the drum’s loading performance to some extent, but the effect is not obvious. A two-segment differential rotational speed drum (TDRSD) was proposed after analyzing the drum’s influence mechanism on coal particles. To further reveal the drum’s coal loading principle, the velocity, particles distribution, and loading rate were analyzed. The effect of the matching relationship of the rotational speed and helix angle between the front and rear drum are also discussed. The results show that a lower front drum rotational speed had a positive impact on improving the loading performance, and the loading rate first increases and then decreases with the increase in rear drum rotational speed. The optimal loading performance was obtained in the range 60–67.5 rpm. The front drum’s helix angle had no evident effect on loading performance, and the loading rate increase with the increase in the rear drum’s helix angle. The results provide a reference and guidance for operation parameters selection, structure design, and drum optimization.

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Factors affecting thin coal seam shearer drum coal-loading performance by a model test method

Cited by 15 publications

References 18 publications

Influence of coal cowl parameters on the coal loading process of thin coal seam shearer drum

Influence of coal cowl parameters on the coal loading process of thin coal seam shearer drum

Shearer parameter optimization and low energy consumption mining based on 3D point cloud characterization of coal wall

Loading Performance of a Novel Shearer Drum Applied to Thin Coal Seams

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