Toshiba Mitsubishi-electric Industrial Systems Corporation

Kabushiki Kaisha Toshiba

Tmeic Corporation

Mitsuhiko Sano

Kazuhiro Ohara

Hiroyuki Imanari

Masashi Tsugeno

Naoki Yamaguchi

Kazutoshi Kitagoh

Girish Babu Meruva

Takahiro Onoda

Masayasu Sekimoto

Sai Prem Kumar Ayyagari

Masaki Hioka

The prediction system of strip chew collects and stores first data and second data as adaptive model construction data. The first data indicates the occurrence or non-occurrence of the strip chew in an object rolling path and the occurrence point of the strip chew. The second data includes information on a preceding rolling path and attribute information on an object strip. The system constructs an adaptive model using the stored adaptive model construction data, and stores the constructed adaptive model as an adapted model. The system collects prediction data similar to the second data. Then, the system inputs the prediction data to the adapted model to predict the occurrence or non-occurrence of the strip chew in the object rolling path and all or some of the occurrence points of the strip chew before the prediction object strip reaches the object rolling path.

Prediction system of strip chew in hot rolling mill

When the tracking point reaches the i-th stand, the continuous rolling system outputs, to an i-th stand, a roll gap operation value for bringing to zero a difference between a value which is obtained by correcting a strip thickness target value of the i-th stand with a target strip thickness correction value of the i-th stand and a value which is obtained by correcting a strip thickness actual recalculation value of the i-th stand with a gap correction value of the i-th stand. Here, the gap correction value is a correction value that brings to zero a difference between a head end gap error when a head end of the material to be rolled reaches the i-th stand and a non-head end gap error when a part other than the head end of the material to be rolled reaches the i-th stand.

Continuous rolling system

A cooling-water injection control device and a cooling-water injection control method for a rolling mill suppress influence by change in flow rate characteristics of water injection headers. The cooling-water injection control device for a rolling mill includes a water injection amount control unit. When a plurality of water injection headers are controlled to make temperature of a material to be rolled on a delivery side of a rolling mill coincident with a target value, in a case where a flow rate of any one of the plurality of water injection headers is less than a transient flow rate between a minimum flow rate and a maximum flow rate, the water injection amount control unit controls a flow rate of any one of the plurality of water injection headers based on priority.

Cooling-water injection control device and cooling-water injection control method for rolling mill

When an opposite direction shift for obtaining a required equivalent roll crown and a same direction shift for wear dispersion are used in combination, a difference occurs in the roll gap at both edge portions in the width direction of a rolling target material. Therefore, the difference between a work-side screw down position and a drive-side screw down position is changed so that the roll gap difference between both the edge portions in the width direction of the rolling target material is made close to zero. As a result, the distance between the work roll shafts on a work side and a drive side is changed, so that the roll gap difference at both ends in the width direction of the rolling target material approaches zero. Therefore, the wear of the work rolls can be dispersed while maintaining the equivalent roll crown.

Roll wear dispersion method for rolling stand and rolling system

A plate thickness schedule calculation method includes a plurality of steps. One step acquires a rolling model expression including a roll force model or a motor power model. Another step determines whether or not a parameter restriction has occurred that restricts at least one parameter of roll force, motor power and a reduction rate in each rolling stand. Further another step is to select a first derived function when no parameter restriction occurs and to select a second derived function when the parameter restriction has occurred in accordance with a result of the determination for each rolling stand. Still another step modifies each delivery side plate thickness in each rolling stand using a matrix including the one derived function selected from the first derived function and the second derived function in accordance with the result of the determination.

Method for calculating plate thickness schedule for tandem rolling machine and rolling plant

A motor speed control device for a rolling mill, which includes a rolling roll that rolls a metal material, a roll rotation shaft directly connected to the rolling roll, a motor rotation shaft that transmits power to the roll rotation shaft, and a motor that drives the motor rotation shaft, includes: a non-contact type speed sensor arranged at a position close to the rolling roll with spacing to a circumferential surface of the roll rotation shaft to detect a roll rotation shaft angular speed of the roll rotation shaft; and a speed controller that controls a speed of the motor based on a comparison value between an actual value and a target angular speed of the rolling roll so that the actual value coincides with the target angular speed. The actual value is the roll rotation shaft angular speed to be fed back to the speed controller.

Motor speed control device for rolling mill

A temperature control apparatus of a hot-rolling mill according to the present invention extracts a high-frequency component, a medium-frequency component, and a low-frequency component from a deviation between a calculated value or a measured value of a material temperature in a temperature managing position set on an outlet side of the hot-rolling mill and a given temperature target value. The temperature control apparatus then corrects a reference value of electric power of an induction heating device set to an electric power changing device based on the high-frequency component, corrects a reference value of a cooling water flow rate set to a flow rate changing device based on the medium-frequency component, and corrects a reference value of a roll rotation speed set to a speed changing device based on the low-frequency component.

Temperature control apparatus of hot-rolling mill

The material structure prediction apparatus includes a temperature calculator calculating temperatures at calculation points, based on a temperature condition, a nucleation count calculator calculating a nucleation count in the calculation target region, a precipitated phase generation point determining module determining, from the calculation points, a precipitated phase generation point, a grain growth calculator calculating a grain growth of the precipitated phase at the precipitated phase generation point, and a material structure prediction module predicting the structure of the material, based on the grain growth of the precipitated phase.

Material structure prediction apparatus, product manufacturing method and material structure prediction method

A property measurement system for a metal material includes: a laser oscillator that emits a pulse laser beam; a lens array that has small lenses with a same shape, the small lenses being laid in a matrix on a plane perpendicular to an optical axis of the pulse laser beam, and arranged so that a part of a cross section of the pulse laser beam can be made incident onto each of small lenses; a condensing lens that overlaps and condenses emitted beams coming from the small lenses on a same region of a surface of a metal material as a measurement target; a laser interferometer that detects, as an electric signal, a pulse ultrasonic wave that is excited by the pulse laser beam condensed and propagates through an inside of the metal material; and a signal processing device that processes the electric signal.

Property measurement system for metal material

A pulse laser oscillator () outputs a first laser beam, a beam splitter splitting the first laser beam into split beams, optical paths () propagating light of split beams split, respectively, taking different times for light propagation thereof, a condenser superimposing light of split beams propagated through the optical paths, respectively, on an identical spot of a measuring material (), for irradiation therewith, a laser interferometer () irradiating the measuring material () with light of a second laser beam, having light intensity variations resulted from interferences between reference light and light of the second laser beam reflected or scattered, as bases to detect ultrasonic waves energized by light of the first laser beam and transmitted in the measuring material (), a waveform analyzer () calculating a metallic microstructure or a material property of the measuring material () based on ultrasonic waves.

Measuring apparatus and measuring method for metallic microstructures or material properties

A mode of the present invention includes a transmitter () for shooting exciting laser light to an object of measurement (M) to excite ultrasonic waves in the object of measurement (M), a receiver () for shooting probing laser light to the object of measurement (M) to receive reflected light of probing laser light from the object of measurement (M) for detection of ultrasonic waves, a light blocking structure () having a first opening () allowing the object of measurement (M) to pass therethrough and operable to accommodate the object of measurement (M), and a cover () operable to cover and open the first opening (

Laser ultrasonic property measurement apparatus

A microstructural feature and material property monitoring device for a metallic material that can easily adjust relative position between an irradiation position of laser beams applied to the metallic material to propagate pulsed ultrasonic waves in the metallic material and detection position of a laser interferometer, and therefore can accurately monitor the microstructural feature and material property of the metallic material. The device relatively moves the irradiation position of the laser beams generated by a laser oscillator and the detection position of the laser interferometer. The irradiation position of the laser beams generated from a laser oscillator and the detection position of the laser interferometer are controlled to be aligned with a relative position according to the microstructural feature and material property of the metallic material based on the time from the transmission of the pulsed ultrasonic waves to the detection by the laser interferometer. After the alignment, the microstructural feature and material property of the metallic material is calculated based on the waveform of the pulsed ultrasonic waves generated as an electrical signal by the laser interferometer.

Microstructural feature and material property monitoring device for metallic material

The invention matches the material quality of a product to target data, even when a materials quality model is insufficient in prediction accuracy. Heating a metallic material, rolling, forging, or leveling the metallic material, and cooling the metallic material are each conducted at least once. Prior to manufacture of a metallic product of a desired size and shape, qualitative data of the metallic material are measured at a position by materials, quality sensor in a manufacturing line, and modifications based on measured data are made to heating, processing, or cooling conditions in at least one of the steps, upstream of the materials measured data sensor so that the quality of the metallic material at the measuring position agrees with target data.

Apparatus for controlling materials quality in rolling, forging, or leveling process

A learning control apparatus in a reversing rolling mill is disclosed. The learning control apparatus adds a learning calculation means that performs learning calculations based on actual values in the previous pass so as to be able to cope with the pass schedule composition peculiar to the reversing rolling mills. Furthermore, by storing learning calculation values of model errors that depend on materials and product dimensions in tables prepared group division by group division that can assimilate intrinsic model errors, the learning control apparatus of the present invention makes possible stable operation and improves accuracy of the product.

Learning control apparatus for a reversing rolling mill

Inter-rolling stand cooling devices are provided. When determining rolling speed and cooling water flows based upon the material temperature measured further upstream than the rolling mill, material positions detected by sensors on the mill line and information pre-determined in accordance with the production plan that includes material Steel Grade, rolling mill entry side material thickness, product strip thickness target value and rolling mill delivery side temperature target value, the positions in the longitudinal direction of multiple calculation points on the material are calculated based upon initial information, the heat generation and heat loss occurring at each rolling stand are calculated at every calculation point based upon the initial information and the positions in the longitudinal direction of the multiple calculation points, the rolling mill delivery side material temperature is calculated based upon the various heat generation and heat loss, and similar operations are repeated until the deviation of the rolling mill delivery side temperature from the target temperature is contained within permissible limits.

Growing community of inventors

Tokyo, Japan

Mitsuhiko Sano