The invention relates to a method for modelling the behaviour of a circular rolling mill (1) intended for rolling a cylindrical component on the basis of a setpoint, the circular rolling mill comprising at least one tapered roller (3) configured to effect a translational movement in a first direction (Y), and a mandrel (2), configured to effect a translational movement in a second direction (X), the setpoint comprising a setpoint for the rate of increase of an outside diameter of said cylindrical component as a function of said external diameter, and a setpoint for the height of the cylindrical component in the first direction as a function of a thickness of the cylindrical component in the second direction.

The invention relates to a method for modelling the behaviour of a circular rolling mill (1) intended for rolling a cylindrical component on the basis of a setpoint, the circular rolling mill comprising at least one tapered roller (3) configured to effect a translational movement in a first direction (Y), and a mandrel (2), configured to effect a translational movement in a second direction (X), the setpoint comprising a setpoint for the rate of increase of an outside diameter of said cylindrical component as a function of said external diameter, and a setpoint for the height of the cylindrical component in the first direction as a function of a thickness of the cylindrical component in the second direction.

The application discloses a tension system optimization method for suppressing vibration of a cold tandem rolling mill. The method aims to suppress vibration occurring in a high-speed rolling process of a cold tandem rolling mill, and provides a rolling machine vibration determination index coefficient for effectively determining whether vibration occurs in a rolling machine. The method employs a target optimization function F(X) such that a mean square error between an optimal value ψ.sub.0i of the rolling machine vibration determination index and a vibration determination index ψ.sub.i of each machine frame acquired in an actual rolling process is at a minimum, and such that a maximum value of the rolling machine vibration determination index coefficient of each individual machine frame is also at a minimum, employs a constraint in which an upper threshold ψ.sub.i.sup.+ of the vibration determination index is acquired during a rolling process in an over-lubricated state in which a neutral angle γ.sub.i coincides with a bite angle α.sub.i and a constraint in which a lower threshold ψ.sub.i.sup.− of the vibration determination index is acquired during a rolling process in an under-lubricated state in which the neutral angle γ.sub.i is half the bite angle α.sub.i, thereby ultimately optimizing a tension system of a rolling process of a cold tandem rolling mill.

A quality prediction model generation method for a metal material manufactured through one or more processes includes: a first collection step of collecting a manufacturing condition of each of the processes for each of predetermined areas of the metal material; a second collection step of evaluating and collecting quality of the metal material manufactured through each process for each of the predetermined areas; a storage step of storing the manufacturing condition of each process and the quality of the metal material manufactured under the manufacturing condition in association with each other for each of the predetermined areas; and a model generation step of generating a quality prediction model that predicts quality of the metal material for each of the predetermined areas based on the stored manufacturing condition for each of the predetermined areas in each process.

An automation system (1) determines control data (S′), outputs same to controlled elements (5) of the facility (ANL) and thereby controls the facility (ANL). Sensor devices (2) acquire measurement data (M) of the facility (ANL) and at least partly feed same to the automation system (1) and a man-machine interface (3). Said man-machine interface (3) receives planning data (P) from a production planning system (11) and/or control data (S′) and/or internal data (I) from the automation system (1). The interface outputs the data (M, S′, I) to a person (4). It furthermore receives control commands (S) from the person (4) and forwards them to the automation system (1). The automation system (1) processes the measurement data (M) and the control commands (S) when determining the control data (S′). An artificial intelligence unit (9) receives at least part of the measurement data (M), control data (S′) and/or internal data (I) and the data output to the person (4). It also receives the control commands (S). The artificial intelligence unit (9) processes the data (M, S′, I) and control demands (S) received and determines evaluation results (A) therefrom and makes the latter available to the person (4) and/or to the production planning system (11) and/or sets them for the automation system (1) in the form of control commands (5″) directly or via the man-machine interface (3). The data (M, S′, I) received by the artificial intelligence unit (9) are at least to some extent dimensional data. Said dimensional data (M, S′, I) comprise at least one image captured by a sensor device (2) or an image output via the man-machine interface (3), part of such an image, a time sequence of such images or a time sequence of a part of such images or an acoustic oscillation or an acoustic oscillation spectrum.

Hot rolling stock (1) made of metal which is rolled in at least one roll stand (2) and then cooled in a cooling section (5) arranged downstream of the at least one roll stand (2). Sound generated by means of a sound generator arrangement (8) is coupled into the rolling stock (1) by a coupling device (1) so that a standing sound wave is formed at least in the region of the rolling stock (1) which is located in the vicinity of the coupling device (10).

A chattering detection method for a cold rolling mill, the method including: measuring a vibration of a cold rolling mill; calculating a time waveform of vibration intensity by performing frequency analysis on a time waveform of the measured vibration of the cold rolling mill for a predetermined period equal to or shorter than a time in which a periodic vibration continues without converging; and detecting a chattering sign vibration of the cold rolling mill based on a number of points having vibration intensity values that exceed a predetermined threshold, the points being included in the calculated time waveform of the vibration intensity.

A production specification determination method, a production method, and a production specification determination apparatus that can increase robustness against disturbances during production of a metal material are provided. Included are the steps of acquiring at least one piece of performance data established after a predetermined process during production of a metal material, performing back analysis based on the at least one piece of performance data and a prediction model that relates production specifications and material characteristics, and searching for production specifications for after the predetermined process such that an estimated value for the material characteristics asymptotically approaches a desired value.

The invention relates to a roll stand (2) for rolling, in particular cold-rolling, metal products, comprising at least one actuator (16) which can be actuated for actively damping vibrations in the roll stand (2), and at least one supporting roll (10) which is non-adjustable or can be adjusted exclusively via a readjusting device for pass line adjustment (13) of the roll stand (2) for supporting a working roll (5) and/or intermediate roll of the roll stand (2), wherein the supporting roll (10) is guided at the ends via a respective bearing unit (11) on a rack (8) of the roll stand (2). In order to enable an optimal active damping of vibrations in a roll stand (2) of this type with low engineering effort, the invention proposes that the supporting roll (10) is supported on the actuator (16) via at least one bearing unit (11) and that the actuator (16) is supported on a section (17) of the rack (8) either directly or indirectly via at least one component (14) of the readjustment device (13).

Disclosed is a method of emulsion concentration optimization for a cold continuous rolling mill set for achieving vibration suppression, the method comprising: defining the process parameters involved in the process of emulsion concentration optimization; setting an initial set value of an emulsion concentration comprehensive optimization target function for a cold continuous rolling mill set for achieving vibration suppression; calculating a bite angle of each stand; calculating a vibration determination index reference value of each stand; setting the emulsion concentration of each stand; calculating the outlet temperature of a strip steel of each stand; calculating the dynamic viscosity of an emulsion in a roll gap of each stand; calculating the oil film thickness in the roll gap of each stand; calculating the emulsion concentration comprehensive optimization target function; determining whether the inequation F(X)<F.sub.0 is established; determining whether the concentration of the emulsion exceeds a feasible region range, and outputting the optimal emulsion concentration set value.