The Roadheader Auto-Rectification Dynamic Analysis and Control Based on the Roadway Floor Mechanic Characteristics

Zhang, Minjun; Lyu, Fuyan; Li, Chunzhi; Li, Xu; Wu, Miao

doi:10.1007/s13369-020-05177-z

Cited by 11 publications

(12 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…. (11) Based on PSO, the particle fitness value and iterative optimization can be realized by considering (11) as the fitness function and restricting the particle activity within the scope of the constraint conditions. PSO algorithm can be applied to constraint optimization problems by limiting the range of particles and adding particle checking mechanism.…”

Section: Multiobjective Optimization Process and Resultsmentioning

confidence: 99%

“…Zhang analyzed the vibration of the roadheader rotary table based on the finite element method and data from an underground coal mine, where the control parameters could be adjusted in real time [10]. Furthermore, the dynamic model and control method were simulated in MATLAB, and the control method was tested using a roadheader control experiment system [11]; the designed control system satisfied the control requirements. Shen proposed an error compensation method based on the vibration characteristics of the roadheader to further analyze the angular and linear vibration of the fuselage [12].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multiobjective Optimization of Roadheader Shovel-Plate Parameters Using Gray Weight and Particle Swarm Optimization

Liu

Gao

2022

IEEE Access

View full text Add to dashboard Cite

As the working efficiency and life span of the shovel plate of a roadheader directly influence its performance, optimization of the shovel-plate parameters is crucial. For optimizing the shovel-plate parameters, the variations in the loading capacity and shovel grubbing force with respect to the shovel-plate parameters are determined in this study. Moreover, the ideal point method and gray weight method are proposed for multiobjective optimization. The gray weights of the loading capacity and shovel resistance are determined by investigating existing molded products and through the gray decision method. Thereafter, the particle swarm optimization (PSO) algorithm is applied for multiobjective optimization of the shovelplate parameters. Considering the EBZ230-type roadheader shovel plate as an example, parameter optimization through multiobjective optimization decreases the mass of the shovel plate by 14.3% and the shovel resistance by 7.3%, while increasing the loading capacity by 1.4%. To demonstrate the influence of optimization, coal and rock excavation with a shovel is simulated using the optimized parameters in an ANSYS-Workbench environment. The results indicate that the maximum stress at the front of the shovel plate decreases by 22.1%, minimum fatigue life increases by 139.6%, and minimum safety factor increases by 30.3%. The obtained results establish that, in multiobjective optimization based on PSO, the ideal point method and gray weight method optimize the shovel-plate parameters. This optimization can provide a theoretical basis and reference values for the design of roadheader shovel plates and can be applied for multiobjective optimization in engineering as well.INDEX TERMS multiobjective optimization, particle swarm algorithm, roadheader, shovel plate.

show abstract

Section: Multiobjective Optimization Process and Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multiobjective Optimization of Roadheader Shovel-Plate Parameters Using Gray Weight and Particle Swarm Optimization

Liu

Gao

2022

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The dynamic model refinement also provides a new theoretical basis for the dynamic design and accurate measurement [27,28] of other cutting construction machinery, such as coalcutters. This also amounts to important basic work in the cooperative operation of heavy engineering equipment [29] and innovation of intelligent construction technology [5].…”

Section: Discussionmentioning

confidence: 99%

“…When the cutting head of the roadheader peels off the rock, it causes strong shock and vibration, which is then transmitted to the cantilever, turntable, fuselage, and traveling mechanism, posing a great threat to the reliable operation of the whole machine [4]. Vibration and impact specifically accelerate the wear and tear of connecting parts in the roadheader, reducing service life, causing failure of the control system [5], and affecting the smooth progress of roadheading work [6]. In addition, the vibration generated by the roadheader during operation carries a lot of energy, which can be regarded as a potential seismic source to detect mine shocks in advance [7].…”

Section: Introductionmentioning

confidence: 99%

Cutting Mechanism Rotor System Dynamic Characteristics of Cantilever Roadheader under Random Hard Rock Load

et al. 2022

View full text Add to dashboard Cite

Accurately mastering the power transmission characteristics of the cutting arm transmission shaft system is key to improving the reliability and working capacity of the cantilever roadheader. Based on the rigid–flexible coupling vibration characteristic modeling of the roadheader cutting arm, the vibration characteristics of different substructures in the transmission shaft system of the roadheader cutting arm were considered, the dynamic characteristic model was comprehensively constructed, and the numerical analysis was carried out with the parameters of the XTR260 tunnel hard rock roadheader to compare the vibration characteristics of the cutting head under different cutting conditions. The experiment was carried out by using an artificial concrete wall, and the measurement results verify the established dynamic model that lays the foundation for the dynamic design of a high-performance roadheader.

show abstract

“…In addition, they used genetic algorithm to establish the multi-objective optimization function of cutting head as well. Zhang et al 6 proposed a neural network PID (Proportional Integral Derivative) control method that can adjust the control parameters in real time by combining the structure and motion characteristics of the roadheader. On this basis, the dynamics model and the control method were simulated by using MATLAB, and the control method was verified by the tunneling machine control experimental system.…”

Section: Introductionmentioning

confidence: 99%

Research on the resistance of cutting mechanism of longitudinal roadheader

Liu

Jiang²

2022

Second International Conference on Cloud Computing and Mechatronic Engineering (I3CME 2022)

View full text Add to dashboard Cite

In order to accurately obtain the dynamic characteristics of the cutting mechanism of the longitudinal roadheader, a detailed theoretical analysis and derivation is carried out by combining with the working principle of the longitudinal roadheader. In addition, the resistance curve and torque curve of the cutting mechanism in different directions are obtained by using ADAMS to simulate. The results show that ADAMS can effectively predict the excavation resistance and torque of the cutting mechanism of mining longitudinal roadheader, which has certain reference value for future optimization design.

show abstract

The Roadheader Auto-Rectification Dynamic Analysis and Control Based on the Roadway Floor Mechanic Characteristics

Cited by 11 publications

References 4 publications

Multiobjective Optimization of Roadheader Shovel-Plate Parameters Using Gray Weight and Particle Swarm Optimization

Multiobjective Optimization of Roadheader Shovel-Plate Parameters Using Gray Weight and Particle Swarm Optimization

Cutting Mechanism Rotor System Dynamic Characteristics of Cantilever Roadheader under Random Hard Rock Load

Research on the resistance of cutting mechanism of longitudinal roadheader

Contact Info

Product

Resources

About