A Prediction Method of Rolling Mill Torsional Vibration

Abstract

The invention relates to a prediction method of torsional vibration of a rolling mill. The prediction method comprises building a torsional vibration experiment platform and finding out an optimal prediction model of the torsional vibration of the rolling mill through real-time adoption of optimal kernel functions and parameters. The torsional vibration experiment platform is mainly formed by an alternating current frequency conversion motor, a gear reducer, a working roller which is arranged at the load end, a torsional vibration sensor, an elastic connecting shaft, a speed measuring sensor and an upper computer; the speed measuring sensor is used for measuring the speed which is transmitted to the elastic connecting shaft after the alternating current frequency conversion motor passes through the gear reducer, wherein the speed is used for representing the rolling speed of the rolling mill; the torsional vibration sensor is used for measuring the size of torque in the elastic connecting shaft; detected signals are transmitted by the two sensors to the upper computer through a serial port which is formed in the upper computer. According to the prediction method of the torsional vibration of the rolling mill, the torsional vibration prediction process is simple, the prediction accuracy is high, the objective evaluation standard of the torsional vibration is increased, the steps are clear, and the time and the labor are saved.

Description

technical field [0001] The invention relates to a rolling mill torsional vibration prediction method based on support vector machine prediction. Background technique [0002] Modern industry has increasingly high quality requirements for steel strip products, and puts forward high-precision and high-dynamic technical requirements for the main drive system of rolling mills. However, in actual production, due to the influence of load disturbance, roll gap lubrication, The torsional vibration caused by the high-speed operation of the rolling mill hinders the production of high-quality and high-precision strip steel products, and causes serious damage to the mechanical equipment of the rolling mill. This kind of torsional vibration is often instantaneous, random, and does not have periodic characteristics. Therefore, it is not easy to predict the torsional vibration of rolling mills by using the method of establishing parameter equations. Existing torsional vibration prediction...

AI Technical Summary

Problems solved by technology

[0002] Modern industry has increasingly high quality requirements for steel strip products, and puts forward high-precision and high-dynamic technical requirements for the main drive system of rolling mills. However, in actual production, due to the influence of load disturbance, roll gap lubrication, The torsional vibration caused by the high-speed operation of the rolling mill hinders the production of high-quality and high-precision strip steel products, and causes serious damage to the mechanical equipment of the rolling mill

This kind of torsional vibration is often instantaneous, random, and does not have periodic characteristics. Therefore, it is not easy to predict the torsional vibration of rolling mills by using the method of establishing parameter equations.

Existing torsional vibration prediction of rolling mills requires too much on-site experience of technicians, it is difficult to establish accurate prediction parameter equations, the existing prediction model is complex, and the prediction model cannot be adjusted in real time to improve the prediction accuracy.

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