An emulsion flow optimization method suitable for a cold continuous rolling mill that aims to achieve vibration suppression. The method aims to suppress vibrations by an oil film thickness model and a friction coefficient model. An optimum set value of the emulsion flow rate for each rolling stand that aims to achieve vibration suppression is optimized on the basis of an over-lubrication film thickness critical value and an under-lubrication film thickness critical value that are proposed. The method greatly reduces the incidence of rolling mill vibration defects, improves production efficiency and product quality, treats rolling mill vibration defects, and improves the surface quality and rolling process stability of a finished strip of a cold continuous rolling mill.

An object is to predict a microstructure of Al in an industrial process more accurately than conventional techniques. In an information processor (1), an inter-step information integration section supplies a PC(i) and an MS(i, 0) to each i-th step calculating section included in a step calculating section. Each i-th step calculating section supplies an MS(i, t) and a TMP(i, t) to a microstructure calculating section and thereby causes the microstructure calculating section to find an MS(i, tfi), and supplies the MS(i, tfi) to the inter-step information integration section (11). The inter-step information integration section (11) sets, as an MS(i+1, 0), the MS(i, tfi) received from the i-th step calculating section.

An springback compensation method for on-line real-time metal sheet roll bending includes the steps of using multiple rollers to bend a continuous metal sheet of multiple sections having different materials or different thickness respectively; using a first position sensor to individually measure springback angles of the multiple sections of the bent metal sheet, and feeding back to a programmable logic controller; using the programmable controller to control a bending roller to compensate the multiple sections of the bent metal sheet respectively; using a second position sensor to individually measure compensated angles of the multiple sections of the bent metal sheet; and comparing a difference between the compensated angles and standard angles of the multiple sections of the bent metal sheet after compensating bending.

An springback compensation method for on-line real-time metal sheet roll bending includes the steps of using multiple rollers to bend a continuous metal sheet of multiple sections having different materials or different thickness respectively; using a first position sensor to individually measure springback angles of the multiple sections of the bent metal sheet, and feeding back to a programmable logic controller; using the programmable controller to control a bending roller to compensate the multiple sections of the bent metal sheet respectively; using a second position sensor to individually measure compensated angles of the multiple sections of the bent metal sheet; and comparing a difference between the compensated angles and standard angles of the multiple sections of the bent metal sheet after compensating bending.

A method of detecting chattering in a cold rolling mill, the method includes: a step of predicting occurrence of chattering during rolling of a material to be rolled, by inputting second multidimensional data to a prediction model, the second multidimensional data having been generated based on condition data corresponding to array data related to the material to be rolled, and the prediction model having been trained with an explanatory variable and an objective variable, the explanatory variable being first multidimensional data generated based on one-dimensional array data representing a past rolling record of rolling of rolled materials by means of a cold rolling mill, and the objective variable being a past record of occurrence of chattering corresponding to the past rolling record.

The invention relates to an apparatus (1) for the applying of and removal by suction of operating fluids onto rolling stock (2) and off rolling stock (2) in the inlet (4) of cold rolling systems (6) and comprises at least one spray device (7) arranged above or below a rolling stock transport line (8), wherein at least one operating fluid can be placed by the spray device (7) onto a surface of the rolling stock (2) or onto a surface of a working roll (9) which makes contact with the rolling stock (2), and to at least one suction removal device (10) which can be arranged above or below the rolling stock transport line (8) and on the same side of the rolling stock transport line (8) as the spray device (7), wherein the suction removal device (10) acts in the vicinity of the surface of the rolling stock (2) or of the working roll (9). The spray device (7) and the suction removal device (10) are attached onto a common component frame (12) and therefore form a compact unit (14.1; 14.2).

The invention relates to an apparatus (1) for the applying of and removal by suction of operating fluids onto rolling stock (2) and off rolling stock (2) in the inlet (4) of cold rolling systems (6) and comprises at least one spray device (7) arranged above or below a rolling stock transport line (8), wherein at least one operating fluid can be placed by the spray device (7) onto a surface of the rolling stock (2) or onto a surface of a working roll (9) which makes contact with the rolling stock (2), and to at least one suction removal device (10) which can be arranged above or below the rolling stock transport line (8) and on the same side of the rolling stock transport line (8) as the spray device (7), wherein the suction removal device (10) acts in the vicinity of the surface of the rolling stock (2) or of the working roll (9). The spray device (7) and the suction removal device (10) are attached onto a common component frame (12) and therefore form a compact unit (14.1; 14.2).

The method includes providing a computer model for producing the desired metal workpiece from the flat metal product in a processing procedure, the processing procedure including processing step on the flat metal product by a processing device, receiving technical data record characterizing the flat metal product, at least part of the data of the technical data record having been recorded during the production of the flat metal product, passing the technical data record to the input of the computer model, based on the passing of the technical data record, receiving a model value for an operating parameter of the processing device from the output of the computer model, producing the desired metal workpiece by controlling the processing procedure, the control of the processing procedure including a controlling of the processing device to perform the processing step on the flat metal product using the operating parameter set to the model value.

A cold rolling mill rolling condition calculation method includes: an estimation step of estimating a rolling constraint condition with respect to a target steady rolling condition of a roll target material, by inputting second multi-dimensional data to a prediction model, the prediction model having been trained with explanatory variable and response variable, the explanatory variable being first multi-dimensional data generated based on non-steady rolling performance data, among past rolling performance in rolling a roll material by a cold rolling mill, and the response variable being steady rolling performance data and rolling constraint condition data during steady rolling, and the second multi-dimensional data having been generated based on non-steady rolling performance data of the roll target material; and a change step of changing the target steady rolling condition so that the estimated rolling constraint condition satisfies a predetermined condition.

A cold rolling mill rolling condition calculation method includes: an estimation step of estimating a rolling constraint condition with respect to a target steady rolling condition of a roll target material, by inputting second multi-dimensional data to a prediction model, the prediction model having been trained with explanatory variable and response variable, the explanatory variable being first multi-dimensional data generated based on non-steady rolling performance data, among past rolling performance in rolling a roll material by a cold rolling mill, and the response variable being steady rolling performance data and rolling constraint condition data during steady rolling, and the second multi-dimensional data having been generated based on non-steady rolling performance data of the roll target material; and a change step of changing the target steady rolling condition so that the estimated rolling constraint condition satisfies a predetermined condition.