Reliability and fatigue life analysis of key parts of shearer

Zhang, Tian; Gao, Shan; Jing, Shuangxi; Jin, Li

doi:10.1016/j.engfailanal.2022.106357

Cited by 8 publications

(6 citation statements)

References 10 publications

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“…The RecurDyn flexible module was used to create the finite element pick grid; the 10-node tetrahedral elements were used. The tooth material was 42CrMo [35], while the Square head, blade, end plate, and barrel body were made of 16Mn steel. The elastic modulus of 42CrMo is A two-way coupling between the EDEM and RecurDyn was achieved by importing components into EDEM.…”

Section: A Rigid-flexible Coupling Dynamic Model Of the Shearer Sectionmentioning

confidence: 99%

Numerical study of forces acting on the drum cutting coal with gangue

Liu,

Zhang

2024

PLoS ONE

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A coal model containing gangue was established by discrete elements to study the forces occurring when a shearer cuts coal, and a rigid-flexible coupled shearer section model was established in RecurDyn; the drum cutting process was simulated through bidirectional coupling. The dynamic distribution of the force chain was obtained when cutter teeth cut the coal rock. During the cutting process, the coal rock failure is caused by normal and tangential forces, with the latter having a major role. The ratio of the average tangential force to normal force was 1.34~1.79. When the rock is in the middle of the coal seam, the force (including normal and tangential forces) on the rock is the highest. Moreover, the force on the rock-coal interface is greater than that on the coal-rock interface. The results show that the force on the coal decreases with the increases in rotation speed. In contrast, the number of broken bonds increases. Further, the number of broken bonds and the force of coal increased nonlinearly with traction speed. Finally, the increase of tooth mounting angle decreased the force on the coal rock and the number of broken bonds, followed by an increase. As such, this study provides a reference for further theoretical research on forces in coal cutting.

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Section: A Rigid-flexible Coupling Dynamic Model Of the Shearer Sectionmentioning

confidence: 99%

Numerical study of forces acting on the drum cutting coal with gangue

Liu,

Zhang

2024

PLoS ONE

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“…MLP-based MCS is most popularly used in MLP-based SRA [37][38][39][40]. Jha and Li [41] introduced the high dimensional model representation into MLP to approximate implicit LSFs in SRA.…”

Section: Mlp-based Mcsmentioning

confidence: 99%

Deep learning-based methods in structural reliability analysis: a review

Afshari

Zhao

Zhuang

et al. 2023

Meas. Sci. Technol.

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One of the most significant and growing research fields in mechanical and civil engineering is Structural Reliability Analysis (SRA). A reliable and precise SRA usually has to deal with complicated , aand numerically expensive problems. Artificial intelligence-based (AI) nd specifically, Deep learning-based (DL) methods, have been applied to the SRA problems to reduce the computational cost and to improve the accuracy of reliability estimation as well. This article reviews the recent advances in using DL models in SRA problems. The review includes the most common categories of DL-based methods used in SRA. More specifically, the application of supervised methods, unsupervised methods, and hybrid deep learning methods in SRA are explained. In this paper, the supervised methods for SRA are categorized as Multi-Layer Perceptron (MLP), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN ), Long short-term memory (LSTM), Bidirectional (Bi-LSTM) and Gated recurrent units (GRU). For the unsupervised methods, we have investigated methods such as Generative Adversarial Network (GAN), Autoencoders (AE), Self-Organizing Map (SOM), Restricted Boltzmann Machine (RBM), and Deep Belief Network (DBN). We have made a comprehensive survey of these methods in SRA. Aiming towards an efficient SRA, deep learning-based methods applied for approximating the limit state function (LSF) with First/Second Order Reliability Methods (FORM/SORM), Monte Carlo simulation (MCS), or MCS with importance sampling (IS). Accordingly, the current paper focuses on the structure of different DL-based models and the applications of each DL method in various SRA problems. This survey helps researchers in mechanical and civil engineering, especially those who are engaged with structural and reliability analysis or dealing with quality assurance problems.

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“…Carlos Labra et al proposed a cutting theory based on finite-discrete element method and analyzed the stress distribution of the interaction between cutting teeth and coal rock 9 . Zhen Tian Z et al analyzed the reliability of key components of coal mining machines based on finite element method 10 . Meichen Zhang et al conducted a study on the vibration characteristics of the spiral drum of a coal mining machine based on the bidirectional coupling method 11 .…”

Section: Introductionmentioning

confidence: 99%

Coal falling trajectory and strength analysis of drum of shearer based on bidiectional coupling method

Zhang,

Zhao,

Shi

2024

Preprint

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The cutting and crushing of coal and rock containing gangue is the result of the coupling effect of multiple factors. The geometric parameters of the working mechanism, the Kinematics parameters of the shearer, and the physical and mechanical properties of the coal and rock to be cut will all affect the cutting and crushing process of the shearer. In order to study the coal falling trajectory of spiral drum cutting coal and rock, obtain its optimal cutting parameters, and achieve efficient cutting of spiral drum, a coal falling trajectory and strength analysis of drum of shearer based on bidirectional coupling technology was proposed based on particle discrete element contact theory and virtual prototype technology. The DEM-MFBD (Discrete Element Method Multi Flexible Body Dynamics) two-way coupling technology was used to realize the cutting and interactive information of the spiral drum on the complex coal seam with gangue. Construct the cutting conditions of the spiral drum under different cutting depths, rotational speeds, and traction speeds. Monitoring the movement status of coal and rock particles under different working conditions. Compile the coal falling trajectory equations of coal and rock particles under different working conditions and draw the coal falling trajectory curve. The optimal coal loading rate was used as the measurement standard for the coal falling trajectory, and the optimal coal falling trajectory of the drum was obtained through full factor experiments. Extract the load of the drum and pick, analyze their stress and deformation, and perform fatigue life analysis on the pick with the highest stress. The results indicate that the maximum deformation occurs on the cutting teeth that are cutting hard gangue. The stress of the tooth seat is mainly concentrated at the root of the tooth seat, and its maximum equivalent stress is less than the yield limit value of the selected material. Therefore, the material selection and structural design of the drum are safe and reliable. By building a coal mining machine cutting coal and rock experimental platform, monitoring the working status of the designed spiral drum, it meets the usage requirements. Based on industrial experiments conducted underground, the measured average coal loading rate of the shearer drum was 46.31%, achieving stable operation and verifying that the designed drum of shearer has efficient cutting ability.

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Reliability and fatigue life analysis of key parts of shearer

Cited by 8 publications

References 10 publications

Numerical study of forces acting on the drum cutting coal with gangue

Numerical study of forces acting on the drum cutting coal with gangue

Deep learning-based methods in structural reliability analysis: a review

Coal falling trajectory and strength analysis of drum of shearer based on bidiectional coupling method

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