Abstract
Currently, the identification technology of rock-coal medium is not reliable and practical, so we cannot judge the cutting state of coal-winning machine in real time. Different dynamic responses over different medium types of rock-coal can indirectly reflect the physical and mechanical parameters of rock-coal. In this study, we establish the 3-D numerical model of cutting the rock and coal by the finite element numerical simulation software in which we obtain the whole process of numerical simulation of the roller cutting coal, mudstone, and sandstone, where different dynamic responses counterpart different types of rock and coal by means of numerical experiments. The results show that when the drum keeps the average speed of cutting coal and medium forward, the instantaneous speed which is close to the average speed will have a small jump. The average speed and the torque in the cutting process can be considered as good indices to evaluate the rock and coal types. The torque from high to low is as follows: sandstone, mudstone, and coal. The average speed from high to low is as follows: coal, mudstone, and sandstone. If the portion of rock is more, the torque is higher and the average speed is lower during cutting the roof foot. This research is helpful for identifying rock-coal medium types by using related instrument to record the dynamic responses of rock-coal medium types.
Highlights
Automatic identification technology of coal and rock properties of the working face is the basis of automatic control of coal-winning machine and the need for intelligent and unmanned mining
In Chinese Energy Science and Technology Development Plan of the twelfth five-year plan, it is clearly pointed out that the unmanned mining technology of fully mechanized coal face is an important development direction, and the focus is on the automatic identification technology of coal and rock properties to realize unmanned and automatic mining of the working face
According to the existing literature, there are no less than 20 research methods for coal and rock identification, for example, the gamma-ray methods, which contain radioactive elements in coal rocks, the image recognition based on color and grain difference of coal and rock surface, the current and voltage threshold judgment method of cutting
Summary
Automatic identification technology of coal and rock properties of the working face is the basis of automatic control of coal-winning machine and the need for intelligent and unmanned mining. Shock and Vibration motor, the mechanical vibration analysis based on signal strength and spectral difference, the memory cutting, the infrared reflection, and so on [12–23] These methods have achieved certain scientific research results, some methods have been applied to production practices and most of the technologies have low reliability, low practicability, and hysteresis. It cannot judge the cutting state of the coal mining machine in real time when the working face encounters sudden changes, such as working fault. If the property of the medium in front of the working face is known, the dynamic characteristics can be predicted in advance. is will have very important theoretical significance and engineering value
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