Simulation and Study of Random Loads on Continuous Miner Cutting Drum

Li, Xiao Huo; Yu, Xin; Hong, Xiao; Zhao, Ying

doi:10.4028/www.scientific.net/amr.308-310.1885

Cited by 4 publications

(2 citation statements)

References 3 publications

(6 reference statements)

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“…Li et al 5 studied the cutting load of a roadheader. Li 6 and Guo et al 7 investigated the structure, load, and motion parameters of the roadheader cutting head. Keles 8 studied the driving machinery for constructing a coal mine in Turkey considering the instantaneous cutting rate and specific energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective optimization of roadheader shovel-plate parameters based on improved particle swarm optimization and grey decision

Gao

2023

Science Progress

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The development of tunneling equipment still lags behind, limiting rapid and accurate tunneling and restricting efficient production in coal mines. Thus, improving the reliability and design of roadheaders becomes essential. As the shovel plate is an essential part of a roadheader, improving its parameters can increase the roadheader performance. The parameter optimization of roadheader shovel plate is multi-objective optimization. Because of conventional multiobjective optimization requires strong prior knowledge, often provides low-quality results, and presents vulnerability to initialization and other shortcomings when used in practice. We propose an improved particle swarm optimization (PSO) algorithm that takes the minimum Euclidean distance from a base value as the evaluation criterion for global and individual extreme values. The improved algorithm enables multiobjective parallel optimization by providing a non-inferior solution set. Then, the optimal solution is searched in this set using grey decision to obtain the optimal solution. To validate the proposed method, the multiobjective optimization problem of the shovel-plate parameters is formulated for its solution. Before optimization shovel-plate most important parameters l is the width of the shovel plate [Formula: see text] = 3.2 m, [Formula: see text] is the inclination angle of the shovel plate and β = ,19°. When doing optimization, set accelerated factor [Formula: see text], population size N = 20, and maximum number of iterations [Formula: see text] = 100. In addition, speed V was restricted by [Formula: see text], and inertia factor W was dynamic and linearly decreasing, [Formula: see text], with [Formula: see text] and [Formula: see text]. In addition, [Formula: see text] and [Formula: see text] were set randomly in [0, 1], while optimization degree η was set to 30%. And then we executed the improved PSO, obtaining 2000 non-inferior solutions. Apply grey decision to find the optimal solution. The optimal roadheader shovel-plate parameters are l = 3.144 m and β = 16.88°. Comparative analysis is made before and after optimization, the optimized parameters were substituted into the model and simulated. Obtained that the optimized parameters of shovel-plate can reduce the mass of the shovel plate decreases by 14.3%, while the propulsive resistance decreases by 6.62%, and the load capacity increases by 3.68%. Thus jointly achieving the optimization goals of reducing the propulsive resistance while increasing the load capacity. The feasibility of the proposed multiobjective optimization method with improved particle swarm optimization and grey decision is verified, and the method can provide convenient multiobjective optimization in engineering practice.

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Section: Introductionmentioning

confidence: 99%

Multiobjective optimization of roadheader shovel-plate parameters based on improved particle swarm optimization and grey decision

Gao

2023

Science Progress

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“…Cutting head is the key component and important part of roadheader which affects the roadheader efficiency and load exceptional change. There are many published reports on the cutting head's reliability optimization research overall the world, such as Zhang Xin from Shandong Scientific and Technical University has studied on cut truncation tooth arrangement and multi-objective optimizations [1,2]; Li Xiao-huo from Liaoning Technology University has studied on cut head swinging cutting and cut head design [3][4][5]; Ma Hong-wu from Datong coal mining has studied on the cut head diameter influence to roadheader [6]; Guo wu from IMM company has studied on S150 cutting head [7]. The majority of scholars use the conventional routes to research cut head reliability optimization design, these methods are under design variable and parameter to follow the normal distribution.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Incomplete Probability Information Optimization Reliability Design Based on Ant Colony Algorithm

Zhang¹,

Li²,

Tian³

2009

JSEA

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In view of incomplete probability information multi-objective question, it used probabilistic perturbation method and Edgeworth series technique to study reliability optimization design. The first four moments of basic random variables are known under condition. It used the Ant Colony Algorithm to design cutting head roadheader, the optimized result indicated that cutting head load fluctuation and compared energy consumption were reduced obviously at the same time. This result enhanced roadheader operational reliability and energy effectively

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Simulation of loads on operating device of peat-cutting unit with regard to errors in the cutting elements arrangement

Fomin

2022

Min.Sci.Technol. (RUS)

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The practice of using units with milling-type operating devices showed their insufficient reliability, which leads to deterioration of the units’ performance. The reasons for this are high dynamic loads in structural members, which are caused by external resistance forces on a milling cutter. They have random, sharply variable nature due to structural heterogeneity of a peat deposit, its random physical and mechanical properties, the presence of wood inclusions in it, as well as periodic interaction of blades with the deposit, and many other factors. In this case, the parameters of actual milling cutter, due to manufacturing and installation errors, differ from those specified in the “ideal” design. In addition, wear and irreversible deformations of cutting elements (blades) occur during operation. As a result the position of blades in a cutter body differs from the “ideal” positioning pattern. The purpose of the paper is to develop a model of section moment on a milling cutter when interacting with a peat deposit in the process of technological operations, taking into account the influence of the error of blade positioning on a cutter body. Expressions for calculating the moment spectral density were obtained. Its characteristic features were analyzed. Errors in positioning of cutting elements on a cutter body lead to changes in the magnitude and nature of the load and its frequency content. In this case, new, additional components appear at frequencies multiple of the cutter’s angular velocity, enriching the load spectrum and increasing its variance. Their magnitude is determined by the cumulative value of the errors. As an example, an analysis of the influence of the error in positioning cutting elements on the spectral density for the operating device of MTP-42 deep milling machine is given. The study results are of practical value and should be taken into account in the calculation of dynamic loads in designing structural members of milling units, especially if their operating devices have a large number of blades, use fine feeds, and when the natural frequencies of the structural members are equal to or multiple of the angular speed of a milling cutter.

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Simulation and Study of Random Loads on Continuous Miner Cutting Drum

Cited by 4 publications

References 3 publications

Multiobjective optimization of roadheader shovel-plate parameters based on improved particle swarm optimization and grey decision

Multiobjective optimization of roadheader shovel-plate parameters based on improved particle swarm optimization and grey decision

Multi-Objective Incomplete Probability Information Optimization Reliability Design Based on Ant Colony Algorithm

Simulation of loads on operating device of peat-cutting unit with regard to errors in the cutting elements arrangement

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