Numerical and Experimental Research on Optimal Pick Layout Design of the Bolter Miner Cutting Head

Liu, Feixiang; Yang, Mei; Lin, Laikuang

doi:10.1007/s13369-023-07691-2

Cited by 3 publications

(2 citation statements)

References 22 publications

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“…The similarity criterion for calculating different dimension parameters is: (6) The π term is an invariant, and the similarity index is one according to the first similarity theorem. The similarity coefficient expression is as follows: (7) The similarity coefficient for drum diameter, CD, requires that the model drum diameter be ≤400mm, therefore CD is set to 1/3 as Table 3.…”

Section: Design Of the Simulated Drummentioning

confidence: 99%

“…Consequently, the technology for distinguishing between coal and rock has been the subject of widespread study and focus [3][4][5]. Current methods for identifying coal and rock primarily utilize the operational signals produced during the shearer's cutting of various coal and rock formations for classification purposes 2 [6,7]. Thus, to yield significant insights, the experimental systems designed to simulate the shearer's cutting process must adhere to specific standards of resemblance and dependability.…”

Section: Introductionmentioning

confidence: 99%

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Design of Digital Twin Cutting Experiment System for Shearer

Miao,

Li,

Guo

2024

Preprint

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This study presents an advanced Simulated Shearer Machine Cutting Experiment System enhanced with digital twin technology. Central to this system is a simulated shearer drum, designed based on similarity theory to mirror the operational dynamics of actual mining cutters accurately. The setup incorporates a modified machining center equipped with sophisticated sensors that monitor various parameters such as cutting states, forces, torque, vibration, temperature and sound. These sensors are crucial for precisely simulating the shearer cutting actions. The integration of digital twin technology is pivotal, featuring a real-time data management layer, a dynamic simulation mechanism model layer, and an application service layer that facilitates virtual experiments and algorithm refinement. This multifaceted approach allows for in-depth analysis of simulated coal cutting, utilizing sensor data to comprehensively evaluate the shearer's performance. The study also includes tests on simulated coal samples. The system effectively conducts experiments and captures cutting condition signals via the sensors. Through time-domain analysis of these signals, gathered while cutting materials of varying strengths, it is determined that the cutting force signal characteristics are particularly distinct. By isolating the cutting force signal as a key feature, the system can effectively distinguish between different cutting modes. This capability provides a robust experimental basis for coal-rock identification research, offering significant insights into the nuances of shearer operation.

show abstract

Section: Design Of the Simulated Drummentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design of Digital Twin Cutting Experiment System for Shearer

Miao,

Li,

Guo

2024

Preprint

View full text Add to dashboard Cite

show abstract

Design and Experimental Results of a Three-Dimensional Force Sensor for Shearer Cutting Pick Force Monitoring

Miao,

Li,

Guo

et al. 2023

Sensors

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The main focus of this work is the design and development of a three-dimensional force sensor for the cutting pick of a coal mining shearer’s simulated drum. This sensor is capable of simultaneously measuring the magnitude of force along three directions of the cutting pick during the cutting sample process. The three-dimensional force sensor is built based on the strain theory of material mechanics, and reasonable structural design is implemented to improve its sensitivity and reduce inter-axis coupling errors. The strain distribution of the sensor is analyzed using finite element analysis software, and the distribution of the strain gauges is determined based on the analysis results. In addition, a calibration test system is designed for the sensor, and the sensitivity, linearity, and inter-axis coupling errors of the sensor are calibrated and tested using loading experiments in three mutually perpendicular directions. Modal simulation analysis and actual cutting pick testing of the coal mining machine’s simulated drum are conducted to study the dynamic characteristics and functionality of the sensor in practical applications. The experimental results depict sensitivities of 0.748 mV/V, 2.367 mV/V, and 2.83 mV/V for the newly developed sensor, respectively. Furthermore, the cross-sensitivity error was lower than 5.02%. These findings validate that the sensor’s structure satisfies the measurement requirements for pick-cutting forces.

show abstract

Design of Digital Twin Cutting Experiment System for Shearer

Miao,

Li,

Guo

2024

Sensors

View full text Add to dashboard Cite

This study presents an advanced simulated shearer machine cutting experiment system enhanced with digital twin technology. Central to this system is a simulated shearer drum, designed based on similarity theory to accurately mirror the operational dynamics of actual mining cutters. The setup incorporates a modified machining center equipped with sophisticated sensors that monitor various parameters such as cutting states, forces, torque, vibration, temperature, and sound. These sensors are crucial for precisely simulating the shearer cutting actions. The integration of digital twin technology is pivotal, featuring a real-time data management layer, a dynamic simulation mechanism model layer, and an application service layer that facilitates virtual experiments and algorithm refinement. This multifaceted approach allows for in-depth analysis of simulated coal cutting, utilizing sensor data to comprehensively evaluate the shearer’s performance. The study also includes tests on simulated coal samples. The system effectively conducts experiments and captures cutting condition signals via the sensors. Through time domain analysis of these signals, gathered while cutting materials of varying strengths, it is determined that the cutting force signal characteristics are particularly distinct. By isolating the cutting force signal as a key feature, the system can effectively distinguish between different cutting modes. This capability provides a robust experimental basis for coal rock identification research, offering significant insights into the nuances of shearer operation.

show abstract

Numerical and Experimental Research on Optimal Pick Layout Design of the Bolter Miner Cutting Head

Cited by 3 publications

References 22 publications

Design of Digital Twin Cutting Experiment System for Shearer

Design of Digital Twin Cutting Experiment System for Shearer

Design and Experimental Results of a Three-Dimensional Force Sensor for Shearer Cutting Pick Force Monitoring

Design of Digital Twin Cutting Experiment System for Shearer

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