Research On Condition Monitoring Of Strip Mill Based On Digital Twin Model

Mill vibration causes large fluctuations in plate thickness,product accuracy decreases,forming heaps of steel and broken strips,accompanied by large noise,which in serious cases can cause roll system breakage,failure shutdown and production stoppage,and a large amount of economic losses caused by maintenance.Through the establishment of real-time online monitoring of the state of the strip mill,timely monitoring of the operating conditions of the mill,can effectively reduce the amount of point inspection of equipment in the plant,reducing unit downtime due to equipment failure.At the same time,the process parameters and vibration data of the mill system collected by the online monitoring system are analyzed to find out the causes of mill vibration,thus providing theoretical and data support for the suppression of vibration.The realization of remote monitoring of mill equipment parameters and centralized state management and analysis is of great positive significance to the safety of the mill unit and the economic efficiency of the enterprise.To solve the monitoring equipment required to monitor a wide range of hardware equipment;the connection between the entire hardware system is very complex,each increase in the impact of the hardware on the whole system is very large.As well as the existing monitoring system in the hardware equipment have many for consumables,maintenance consumption is large.To improve these problems,a vibration monitoring method for strip mills based on digital twin model is proposed to understand the state of the strip mill during actual operation.In this paper,a digital twin model is established to monitor the vibration of a 1400 mm four-roller roll mill of a copper rolling mill for its rolling process stability.The main research elements of this paper are as follows:(1)A simplified mass-spring system for a four-roll mill considering the stiffness between the roll systems of the mill,between the roll systems and the rolled parts and the bearing seat is established.Using MATLAB theoretical calculations and ABAQUSE finite element method to calculate the simplified mass-spring system of the four-roll mill equivalent mass and equivalent stiffness.The established simplified mass-spring system of the four-roll mill is the physical model of the digital twin model of the mill.(2)Coupling the geometric,physical and behavioral models of the mill to establish the twin mill.Solid Works was used to build the geometric model of a1400 mm four-roll mill in a plant.The established geometric model was coupled with a simplified mass-spring system in Maplsim to give the mill twin body vibration characteristics.The behavior of the individual mechanisms of the twin mill,such as rotation,movement,etc.,is constrained.The joint simulation and communication interface setup is implemented in Python to establish the connection between the twin mill and the physical mill.Establish the condition monitoring platform of the plate and strip mill based on the digital twin model,which realizes real-time condition monitoring.(3)A comparison experiment between conventional monitoring experiments and digital twin model-based monitoring is conducted on a 1400 mm four-roller mill to verify the reliability and feasibility of vibration monitoring of the plate and strip mill based on the digital twin model.According to the phenomena found in the experimental process,corresponding measures are proposed to suppress the vibration of the mill,and vibration suppression experiments are conducted to prove the effectiveness of the proposed vibration suppression measures.