Mechatronic model of continuous miner cutting drum driveline

Mężyk, A.; Klein, Wojciech; Fice, Marcin; Pawlak, M.; Basiura, K.

doi:10.1016/j.mechatronics.2015.11.004

Cited by 18 publications

(6 citation statements)

References 13 publications

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“…At present, a large number of simulation about rock-cutting have been done at home and abroad [1,3,[15][16][17][18][19][20][21][22]. For verifying the accuracy of the elastic-brittle-plastic constitutive model, numerical simulation and experimental study were carried out.…”

Section: Application Of Coal -Rock Constitutive Model 31 Numerical Mmentioning

confidence: 99%

Establishment of Coal-rock Constitutive Models for Numerical Simulation of Coal-rock Cutting by Conical Picks

Qiao

Xia

et al. 2019

Period. Polytech. Civil Eng.

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One of the key points in numerical simulation of coal-rock cutting by conical picks is to select a proper coal-rock constitutive model. In order to find a reasonable coal-rock constitutive model, a uniaxial compression test was conducted to obtain the constitutive model. The several stages for linear elastic deformation and creep, plastic yielding, hardening, and finally brittle cracking of the constitutive units were studied, and the coal-rock constitutive model was established. As a result, the coal-rock cutting by one conical pick or two conical picks was simulated and the results were compared with coal-rock cutting experiment on a Coal-rock Cutting Machine. According to the simulation and experimental results, it is believed that the numerical simulation can reveal coal-rock crushing process. And the total error rate of coal-rock cutting by one conical pick between the simulation and experiment is 8.5%. The maximum deviation of coal-rock cutting by two conical picks between the simulation and experiment is 9.8%. All simulation values are within a reasonable range. The comparison indicates that the coal-rock constitutive model should better be defined considering the coal-rock crushing process by conical picks.

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Section: Application Of Coal -Rock Constitutive Model 31 Numerical Mmentioning

confidence: 99%

Establishment of Coal-rock Constitutive Models for Numerical Simulation of Coal-rock Cutting by Conical Picks

Qiao

Xia

et al. 2019

Period. Polytech. Civil Eng.

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“…In recent years, with the rapid development of computer technology, cosimulation technology has been widely used for solving multidomain problems [17], [18]. For instance, the cutting vibration behavior of the continuous miner [19], nonlinear motion behavior of the robot [20][21][22][23], complex fluid dynamics analysis and structural optimization design of variable displacement pump [24][25][26], fuel system design and fuel economy analysis of hybrid cars [27][28][29][30], and other mechanical-hydraulic cosimulations have been performed [31][32][33][34]. There are few literature reports focusing on cosimulation problems with three or more domains.…”

Section: B Related Workmentioning

confidence: 99%

Shearer Height Adjustment Based on Mechanical-Electrical-Hydraulic Cosimulation

et al. 2020

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“…In order to carry out the optimization of a system controlling a BWS system it is necessary to develop a numerical model taking into account the coupling between the electric part, the mechanical one, and the patient. A model of a synchronous motor with permanent PMSM magnets (Permanent Magnet Synchronous Motor) described in (Mężyk et al, 2016;Xu, 2012) has been used for building the numerical model of the device.…”

Section: Modelling the Body Weight Support Systemmentioning

confidence: 99%

Computational optimization and implementation of control system for mechatronic treadmill with body weight support system

Gembalczyk

Duda

Świtoński

2018

jtam

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The purpose of this paper is to present a novel mechatronic system for gait re-education which consists of a body weight support system (BWS system) and a treadmill. This publication covers mainly issues related to the design and optimization process of a control algorithm dedicated for the unloading system. The proposed control system is based on a fuzzy logic controller coupled with a PID regulator. The optimization of parameters for regulators has been conducted based on numerical simulations in which a hybrid optimization method combining a genetic algorithm with a gradient algorithm has been used. The developed control system has been tested experimentally.

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Mechatronic model of continuous miner cutting drum driveline

Cited by 18 publications

References 13 publications

Establishment of Coal-rock Constitutive Models for Numerical Simulation of Coal-rock Cutting by Conical Picks

Establishment of Coal-rock Constitutive Models for Numerical Simulation of Coal-rock Cutting by Conical Picks

Shearer Height Adjustment Based on Mechanical-Electrical-Hydraulic Cosimulation

Computational optimization and implementation of control system for mechatronic treadmill with body weight support system

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