B21B37/00

Method for setting roll gap of sinusoidal corrugated rolling for metal composite plate

A method for setting a roll gap of sinusoidal corrugated rolling for a metal composite plate includes steps of: determining entrance thicknesses, exit thicknesses, a width, and a rolling temperature of a difficult-to-deform metal slab and an easy-to-deform metal slab; detecting a roll speed and an entrance speed of a metal composite slab, obtaining a roll radius and friction factors; determining parameters of a sinusoidal corrugating roll and a quantity of complete sinusoidal corrugations on the sinusoidal corrugating roll; then calculating a time required for a complete corrugated rolling; calculating a rolling force at any time during the sinusoidal corrugated rolling of the metal composite plate; and calculating the roll gap S of the corrugated rolling at any time according to the rolling force F, and configuring a rolling mill to have the roll gap S according to an actual rolling schedule before normal production.

Method for determining the stamping quality of profiled bar material
10232420 · 2019-03-19 · ·

A method for determining the stamping quality of profiled bar includes steps of: a) upstream of the rolling stand performing shaping, the initial speed V.sub.A of the starting product is determined and the initial diameter D.sub.A or initial cross-sectional area F.sub.A are determined contactlessly. b) After the rolling stand, the final speed V.sub.E of the end product is measured and the diameter D.sub.E or area F.sub.E of a virtual enveloping shell for the end product is determined contactlessly. c) The diameter D.sub.N of a virtual, round end product is determined contactlessly as D.sub.N=square root of (D.sub.A.sup.2*V.sub.A/V.sub.E) and/or the average cross-sectional area F.sub.NE of the end product (2) is determined contactlessly as F.sub.NE=F.sub.A*V.sub.A/V.sub.E. d1) The characteristic stamping variable PKG is calculated, and the characteristic stamping variable PKG is compared with a pre-set setpoint value PKG.sub.set. A device for carrying out the method is also provided.

METHOD FOR DETERMINING MECHANICAL PROPERTIES OF A ROLLED MATERIAL USING A HYBRID MODEL

A method for determining mechanical properties of a first rolled material by a hybrid model that includes production datasets relating to further rolled materials, a physical production model and a statistical data model. The production dataset relating to the first rolled material is used to determine a first mechanical dataset, a further production dataset and a metallurgical dataset and also a second mechanical dataset. An averaged normalized distance value for production datasets relating to the further rolled materials is determined that is used to ascertain the mechanical properties of the rolled material as a weighted average from the first and second mechanical datasets. When creating the hybrid model, the physical production model is used to determine further production datasets relating to the further rolled goods for training the statistical data model.

METHOD FOR DETERMINING MECHANICAL PROPERTIES OF A ROLLED MATERIAL USING A HYBRID MODEL

A method for determining mechanical properties of a first rolled material by a hybrid model that includes production datasets relating to further rolled materials, a physical production model and a statistical data model. The production dataset relating to the first rolled material is used to determine a first mechanical dataset, a further production dataset and a metallurgical dataset and also a second mechanical dataset. An averaged normalized distance value for production datasets relating to the further rolled materials is determined that is used to ascertain the mechanical properties of the rolled material as a weighted average from the first and second mechanical datasets. When creating the hybrid model, the physical production model is used to determine further production datasets relating to the further rolled goods for training the statistical data model.

Iterative pattern generation algorithm for plate design problems

A method to generate a plurality of groups each including at least one of a plurality of elements. The method includes selecting at least one candidate element from the plurality of elements as a candidate to be included in a group, determining whether or not to generate the group including the at least one candidate element selected in the selecting step, based on an element evaluation value associated with each of the at least one candidate element selected in the selecting step, provided that a determination is made to generate the group in the determining step, generating the group including the at least one candidate element selected in the selecting step, and weighting the element evaluation value of each of the at least one element according to how many times the each element is included in already-generated groups to reflect the weighted element evaluation value in next group generation.

Iterative pattern generation algorithm for plate design problems

A method to generate a plurality of groups each including at least one of a plurality of elements. The method includes selecting at least one candidate element from the plurality of elements as a candidate to be included in a group, determining whether or not to generate the group including the at least one candidate element selected in the selecting step, based on an element evaluation value associated with each of the at least one candidate element selected in the selecting step, provided that a determination is made to generate the group in the determining step, generating the group including the at least one candidate element selected in the selecting step, and weighting the element evaluation value of each of the at least one element according to how many times the each element is included in already-generated groups to reflect the weighted element evaluation value in next group generation.

ROLL STAND, ROLLING SYSTEM AND METHOD FOR ACTIVELY DAMPING VIBRATIONS IN A ROLL STAND

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)

Active vibration damping system of a rolling mill

The active vibration damping system of a rolling mill comprises a rolling stand and an adjustment system for the bending of the rolling rolls (1, 1) having hydraulic actuators (2\2, 2, 2iv) acting on the chock (20) of the rolling rolls (1, 1) and hydraulic feeding circuits (7, 9, 11, 12) and injectors (8, 8, 8, 8iv), preferably piezoelectric injectors, directly inserted into the chambers (6\6, 6, 6iv) of the hydraulic actuators (2, 2, 2, 2iv) with the advantage of exploiting the dampening effect resulting from the high- pressure oil injection.

Energy consumption predicting device for rolling line

The present invention includes (1) inputting, into a model expression that defines relation between various operating values of a facility operating on a material to be rolled and energy consumption of the facility, various actual operating values as the various operating values, to calculate an actual calculation value of the energy consumption; (2) dividing the actual value of the energy consumption by the actual calculation value to calculate a reference learning value of the energy consumption; (3) inputting the set operating value defined by the setting calculation unit only in one operating value, among various operating values of the model expression, while inputting the actual operating values collected by the actual value unit in other operating values to calculate a pseudo-actual calculation value of the energy consumption; (4) dividing the actual calculation value by the pseudo-actual calculation value to calculate a correction learning value; and (5) inputting the various set operating values as the various operating values of the model expression to calculate a prediction value of the energy consumption for the material to be rolled, which is scheduled to be conveyed to the rolling line next time or later, and multiplies the prediction value by the reference learning value and the correction learning value to calculate a corrected prediction value of the energy consumption.

Energy consumption predicting device for rolling line

The present invention includes (1) inputting, into a model expression that defines relation between various operating values of a facility operating on a material to be rolled and energy consumption of the facility, various actual operating values as the various operating values, to calculate an actual calculation value of the energy consumption; (2) dividing the actual value of the energy consumption by the actual calculation value to calculate a reference learning value of the energy consumption; (3) inputting the set operating value defined by the setting calculation unit only in one operating value, among various operating values of the model expression, while inputting the actual operating values collected by the actual value unit in other operating values to calculate a pseudo-actual calculation value of the energy consumption; (4) dividing the actual calculation value by the pseudo-actual calculation value to calculate a correction learning value; and (5) inputting the various set operating values as the various operating values of the model expression to calculate a prediction value of the energy consumption for the material to be rolled, which is scheduled to be conveyed to the rolling line next time or later, and multiplies the prediction value by the reference learning value and the correction learning value to calculate a corrected prediction value of the energy consumption.