Wear analysis and performance optimization of drum blade in mining coal gangue with shearer

Liu, Xunan; Du, Changqing; Fu, Xin; Zhao, Han; Zhang, Jianzhuo; Yang, Xinle

doi:10.1016/j.engfailanal.2021.105542

Cited by 14 publications

(5 citation statements)

References 9 publications

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“…Because coal is in a massive structural state before cutting, and fragmentation occurs during the cutting process, some bonds must exist between the coal particles. The Hertz-Mindlin model with bonding was used to model the contact between coal particles in this study [11,12]. The model for the bonding between two standard spherical particles, a and b, with particle radii R a and R b , respectively, is shown in Figure 4.…”

Section: Mechanical Parameters Of Coal Particlesmentioning

confidence: 99%

Effects of cutting head load on fatigue life of bolter miner cutting arm

Li¹,

Wang²,

Wang³

et al. 2023

Mechanics & Industry

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In the operation of bolter miners, the cutting arm is an essential and weak part and its fatigue life directly affects its performance. This study aimed to investigate the influence of the cutting head load on the fatigue life of a cutting arm using the DEM-MFBD (Discrete Element Method-Multi Flexible Body Dynamics) bi-directional coupling technique. The EJM340 bolter miner was chosen as the research object, and a three-dimensional solid model of the bolter miner was built using the RecurDyn software. The cutting arm was flexibly modelled, and the tunnel model was built using the EDEM software. The motion parameters of the bolter miner and cutting head load were transferred through the bi-directional coupling interface to obtain the loads and stress parameters during the entire tunnel cutting process. Based on the stress-time variation, the fatigue life of the cutting arm was calculated, the overall damage and crack initiation locations were obtained, and the minimum number of cutting arm cycles was determined. The accuracy of the virtual model is verified through field experiments. The analysis results indicated that the crack emergence location and fatigue life obtained from the simulation were in agreement with the experimental results.

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Section: Mechanical Parameters Of Coal Particlesmentioning

confidence: 99%

Effects of cutting head load on fatigue life of bolter miner cutting arm

Li¹,

Wang²,

Wang³

et al. 2023

Mechanics & Industry

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“…Eqs. (8) and (9), respectively represents how to update the position and velocity of each particle at the k + 1th iteration.…”

Section: Pso Algorithmmentioning

confidence: 99%

“…YANG et al [7] analyzed the dynamic characteristics of key parts of shearer under different working conditions in order to optimize the shearer hardware structure. LIU et al [8] investigated the vibration properties of a double drum coal shearer in order to improve the design reliability.…”

Section: Introductionmentioning

confidence: 99%

Shearer reliability prediction using support vector machine based on chaotic particle swarm optimization algorithm

Zhipeng

2023

Matéria (Rio J.)

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Shearer reliability is considered as one of the most important indexes in longwall mining production. However, the traditional reliability methods are based on the specific distribution of the failure parameters, which are incongruent in the actual practice. Therefore, a novle shearer reliability prediction method based on support vector machine (SVM) with chaotic particle swarm optimization (CPSO) is proposed. It combines the advantages of the high accuracy of SVM and the fast convergence of CPSO, where the chaos idea is introduced to particle swarm optimization for the particle initialization, inertia weight coefficient optimizing and premature convergence treatment. Then this CPSO is used to select and optimize the important parameters of SVM. Ultimately, the optimized parameters are used to obtain a superior CPSO-SVM method for reliability prediction.To show the effectiveness of the proposed method, two numerical comparisons are designed respectively using the literature data and the actual shearer data from the coal mine enterprise. The research results reveal the prediction accuracy and validity of the proposed method.

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“…Due to the limitations of the test bench device, in order to further explain and verify the influence of cutting chatter stability on cutting head pick wear, Archard Wear model in Edem discrete element simulation was selected for cutting verification 32 . Coal wall model was established according to Liu et al 33 . The bonding model is also used to bond the particles, and the cutting parameters of the cutting head are set to achieve coal wall cutting.…”

Section: Cutting Wear Verificationmentioning

confidence: 99%

Prediction method of cutting stability of roadheader based on the Newton–Lagrange mixed discrete method

Zhu

Xie

Wang

2022

Sci Rep

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In order to study the influence of the multiple interaction of coal and rock and the velocity effect of the cutting head on the flutter stability of the cantilever roadheader, considering the physical characteristics of coal and rock, the structural parameters of the cutting head and the motion parameters of the cutting head, the functional expression of the cutting depth of the cutting head and the participating cutting teeth is fitted, the cutting state mechanical characteristic equation of the dynamic cutting of the cutting teeth is established, and based on the mapping relationship between the cutting teeth and the cutting head, a cutting dynamic model including multiple interactions between cutting head and coal and rock and the speed effect is constructed. An improved discrete method based on Newton–Lagrange mixed interpolation is proposed, and the influence law of the coupling effect of regeneration effect and velocity effect on the stability of cutting flutter under cutting state is clarified. The improved full discrete method is compared with the full discrete method and the semi-discrete method, and the superiority of the improved full discrete method based on the mixed interpolation method is proved. Based on the improved total discrete method, the influence of different cutting system dynamic parameters on the stability is studied. A cutting head coal rock system is built to simulate the flutter of the cutting system. The results show that the improved fully discrete method can reasonably predict the actual cutting state.

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Wear analysis and performance optimization of drum blade in mining coal gangue with shearer

Cited by 14 publications

References 9 publications

Effects of cutting head load on fatigue life of bolter miner cutting arm

Effects of cutting head load on fatigue life of bolter miner cutting arm

Shearer reliability prediction using support vector machine based on chaotic particle swarm optimization algorithm

Prediction method of cutting stability of roadheader based on the Newton–Lagrange mixed discrete method

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