Process Testing and Algorithm Detection Analysis of Mechanical Strength of Electromechanical Coupling in the Main Drive of Rolling Mill

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Dongbao Zeng
Hai Yao

Abstract

In order to deeply analyze the compressive strength of the electromechanical coupling system of the main drive of the rolling mill, this work takes the electromechanical coupling system of the main drive of the R2 rolling mill as a subject to study and analyze. First, experiments are designed to test the strength and some mechanical parameters of the main drive electromechanical coupling system of the R2 rolling mill, including the introduction of the main drive system of the R2 reversible rolling mill, test content, test scheme, test system framework and test materials. Next, this work analyzes the strength of the main drive shaft in the electromechanical coupling system of the main drive of the R2 rolling mill, and theoretically checks the fatigue strength of the main drive shaft, including the static strength analysis of the main drive shaft. Finally, this work analyzes the experimental data. The research shows that: (1) the peak value of the lower torque of the main drive coupling electromechanical of the R2 rolling mill is mainly distributed in the range of 650∼1550 mk N. The average value of the upper torque is mainly distributed in the range of 350∼1100 mk N. (2) The peak value of principal stress at 1# measuring point is within the range of 10-35Mpa, and the mean value of principal stress is within the range of -24-24Mpa. The peak value of principal stress at the 2# measuring point is in the range of 5-25Mpa, and the mean value of principal stress is in the range of -16-16Mpa. (3) When the upper drive shaft of the rolling mill runs at a working angle of 1.02, the maximum Von Mises Stress of the drive shaft of the rolling mill is 95.10MPa. When the drive shaft of the rolling mill operates at a working angle of 3.14, the maximum Von Mises Stress of the drive shaft of the rolling mill is 95.15MPa. This work aims to provide a theoretical reference for enhancing the compressive strength of the electromechanical coupling system of the main drive of the rolling mill.

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Special Issue - Deep Learning-Based Advanced Research Trends in Scalable Computing