As the core component of coal interception and coal loading, the spiral drum of coal shearer directly affects the working efficiency of coal shearer and the quality of coal. In the past research on shearing force of shearer drum, there are many problems and deficiencies in research methods and theoretical analysis. Therefore, based on the actual production conditions and the original drum model parameters, a simulation model of shearer drum cutting coal wall is established to simulate the dynamic process of coal cutting, and the research on the nonlinear vibration performance of the shearer rocker system affects its stability. The key issue of the performance and service life is therefore important to study the nonlinear vibration characteristics of the rocker system. This paper mainly studies the nonlinear vibration characteristics of the rocker system. In this paper, based on ANSYS software, the model analysis of the rocker arm shell and the traction part shell is carried out. Harmonic response analysis was carried out on the housing of the traction part, and its response under sinusoidal excitation of different frequencies was obtained. The lateral vibration acceleration and swing angle acceleration of the shearer body are 0.0098 and 0.0074 , respectively. The larger the average cutting impedance of coal rock, the greater the lateral acceleration of each part of the shearer under the oblique cutting condition, the greater the fluctuation, and the direction changes with time. The average cutting impedance of coal rock has a great influence on the front drum and front rocker of the shearer. The experimental results show that the study of nonlinear vibration characteristics provides a reference for the optimization of the shearer's structural strength and the improvement of its resistance to shock and vibration.

Meng Wang, Xinqi Shen. Nonlinear Vibration Characteristics Identification of Drum - Rocker System of Shearer Based on Artificial Intelligence. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 2: 64-76. https://doi.org/10.25236/AJCIS.2022.050211.

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