2009•Control Engineering of ChinaRequires access

Data-Driven Rolling Force Calculation for Cold Rolling Mill

Lixin Tang

Open publisher page 1 citations

Abstract

During cold rolling production process,the optimized rolling force setup plays a key role on quality of steel making.Because the process have characteristics of multi-variables,large time delay,strong coupling,non-linear,and also involves a variety of factors,such as: tension,speed,thickness,etc.,the setup of rolling force is very complex.Rapidity and accuracy of rolling force on-line setup are proposed by high-speed cold rolling production.A new rolling force optimization setup methods-data-driven approach is presented,the inherent regularity from mass of production data is sought,and the rolling force data is directly determined.For the following condition: the relationship between input and output is uncertain,data-driven approach has been designed.Through analysis and comparison on the simulation data based on rolling force data from cold rolling strip steel process,it is proved that the method is effective.

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What this paper is about

During cold rolling production process,the optimized rolling force setup plays a key role on quality of steel making.Because the process have characteristics of multi-variables,large time delay,strong coupling,non-linear,and also involves a variety of factors,such as: tension,speed,thickness,etc.,the setup of rolling force is very complex.Rapidity and accuracy of rolling force on-line setup are proposed by high-speed cold rolling production.A new rolling force optimization setup methods-data-driven approach is presented,the inherent regularity from mass of production data is sought,and the rolling force data is directly determined.For the following condition: the relationship between input and output is uncertain,data-driven approach has been designed.Through analysis and comparison on the simulation data based on rolling force data from cold rolling strip steel process,it is proved that the method is effective.

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Available abstract

During cold rolling production process,the optimized rolling force setup plays a key role on quality of steel making.Because the process have characteristics of multi-variables,large time delay,strong coupling,non-linear,and also involves a variety of factors,such as: tension,speed,thickness,etc.,the setup of rolling force is very complex.Rapidity and accuracy of rolling force on-line setup are proposed by high-speed cold rolling production.A new rolling force optimization setup methods-data-driven approach is presented,the inherent regularity from mass of production data is sought,and the rolling force data is directly determined.For the following condition: the relationship between input and output is uncertain,data-driven approach has been designed.Through analysis and comparison on the simulation data based on rolling force data from cold rolling strip steel process,it is proved that the method is effective.

Key concepts: Rolling mill, Process (computing), Rolling resistance, Tension (geology), Coupling (piping), Production line, Control theory (sociology), Mechanical engineering

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