This application claims priority to British Patent Application No. GB0904802.6 filed Mar. 20, 2009, the contents of which is incorporated herein by reference in its entirety.
This invention relates to a metallic strip edge flatness monitoring system for a rolling mill, in particular for cold and foil ferrous and non-ferrous metal rolling mills.
On cold and foil aluminium rolling mills, strip edge flatness defects, in particular tight edges, or tight edges and loose pockets, caused by steep temperature gradients in the locale of the strip edge, reduce product quality, productivity and are the trigger to many strip breaks during rolling. In some cases fine tuning of the conventional actuators, like work roll bending and work roll cooling sprays, can be used to address the problem, but more often than not the effect of these actuators becomes limited with increased demand on productivity and quality.
There are actuators that exist, such as hot edge sprays and edge inductors that move the position of the temperature fall off on the work roll away from the strip edge by heating the rolls with hot sprays or electromagnetic induction in the periphery of the strip edges. However, these actuators are not operated to their full potential, as limitations in the accuracy and/or resolution of the flatness measurement devices at the strip edge restrict any high level automatic control.
Strip flatness for the whole width of the strip on aluminium rolling mills is most commonly measured with a flatness measurement roll. There are three dominant roll designs from three different manufacturers and although the measurement method differs, the concept is fundamentally the same. All three variations rely on being in contact with the strip on the entry, or exit side of the mill and they measure the strip pressure in defined zones across the strip width. The pressure in each zone is then converted to an equivalent strain to give an indication of strip ‘shape’, or flatness in that zone. The zones on the rolls are typically 50 mm wide in the body of the strip and are reduced to 25 or 26 mm wide in the locale of the strip edges for the desired strip width range. The shape signal is reported to a control system which then uses an appropriate actuator to correct the shape defect. The zoned regions on the flatness measurement roll are most useful when used in conjunction with cooling sprays. In this instance the control system regulates the amount of cooling applied to the work roll in the corresponding zones. To enable flatness control, the flatness measurement rolls average the signals from the sensors in each zone for that particular zone width and also take into account the signal from the adjacent zones.
There are problems with measuring the edge flatness because, depending on the particular strip width range for a rolling mill, the edge of the strip may lie on the flatness measurement roll, such that not enough of the zone is covered to provide an accurate output. This results in the signal at the strip edges being ignored by the control system and, in the case of tight edge loose pocket, the tight edge and loose pocket may fall on the same zone, so the phenomenon is inadvertently ignored by the control system and it is then left to the operator to make online visual inspections and correct accordingly.
According to an embodiment, a metallic strip edge flatness monitoring system for a rolling mill, comprises one or more thermal imaging devices arranged to monitor temperature or temperature variances across at least one region of interest in the rolling mill; wherein the monitored temperature or temperature variances are input to a flatness control system; wherein a control signal is generated in the flatness control system to modify actuation of actuators in the rolling mill; wherein the region of interest has a width of less than half the width of the metallic strip; and wherein the region of interest comprises a region on each side of the strip and the total width monitored is less than half the total width of the metallic strip.
According to a further embodiment, the region of interest can be on a periphery of one or more work rolls. According to a further embodiment, the region of interest can be on an input or exit side of the rolling mill. According to a further embodiment, the region of interest may extend between a nip of the work rolls and a nip of a work roll and an adjacent support roll. According to a further embodiment, the region of interest can be at an edge of the metallic strip exiting the work rolls. According to a further embodiment, the region of interest may have a length less than the length of the metallic strip between a nip of the work rolls and a strip re-coiler. According to a further embodiment, the system may further comprise a fixed mount thermal imaging device with a field of view capable of measuring the temperature or temperature variances for all product width combinations in a particular application. According to a further embodiment, the system may further comprise a mount for each thermal imaging device, each mount being adapted to allow transverse movement of the device across the width of the region of interest on the metallic strip. According to a further embodiment, the device may adjust its transverse position in response from up to date information in the control system on the product being rolled. According to a further embodiment, the device may adjust its transverse position in response to edge position detected by the thermal imaging device.
According to a further embodiment, the system may further comprise a flatness measurement device on the exit side of the rolling mill. According to a further embodiment, the actuators may comprise at least one of hot edge spray controllers and inductor controllers. According to a further embodiment, both temperature and temperature variance may be monitored.
According to another embodiment, a method of monitoring strip edge flatness of a metallic strip in a rolling mill; may comprise the step of measuring a temperature, or temperature variance across a region of interest using a thermal imaging device, wherein the region of interest has a width of less than half of the width of the strip; and wherein the region of interest comprises a region on each side of the strip and the total width monitored is less than half the total width of the metallic strip, the method may further comprise deriving a control signal based on the measured temperature or temperature variance; and controlling operation of actuators in the rolling mill using the derived control signal to provide enhanced edge shape control.
According to a further embodiment of the method, the temperature, or temperature variance, can be measured on a periphery of one or more work rolls. According to a further embodiment of the method, the region of interest can be on an exit side of the rolling mill. According to a further embodiment of the method, the region of interest may extend between a nip of the work rolls and a nip of a work roll and an adjacent support roll. According to a further embodiment of the method, the region of interest may be at an edge of the metallic strip on an exit side the rolling mill. According to a further embodiment of the method, the temperature or temperature variance may be measured over a section of length less than or equal to the length of the metallic strip between a nip of the work rolls and a strip re-coiler. According to a further embodiment of the method, the method may further comprise a fixed mount thermal imaging device with a field of view capable of measuring the temperature or temperature variances for all product width combinations in a particular application. According to a further embodiment of the method, the method may further comprise a mount for each thermal imaging device, each mount being adapted to allow transverse movement of the device across the width of the region of interest on the metallic strip. According to a further embodiment of the method, the device may adjust its transverse position in response from up to date information in the control system on the product being rolled. According to a further embodiment of the method, the device may adjust its transverse position in response to edge position detected by the thermal imaging device. According to a further embodiment of the method, the method may further comprise measuring flatness of the strip using a flatness measurement device on the exit side of the rolling mill. According to a further embodiment of the method, the method may further comprise inputting signals from the flatness measurement device to the flatness control system to further modify the control signal to the actuators. According to a further embodiment of the method, both temperature and temperature variance can be monitored.
An example of a metallic strip edge flatness monitoring system will now be described with reference to the accompanying drawings in which:
In accordance with a first aspect, a metallic strip edge flatness monitoring system for a rolling mill comprises one or more thermal imaging devices arranged to monitor temperature or temperature variances across at least one region of interest in the rolling mill; wherein the monitored temperature or temperature variances are input to a flatness control system; wherein a control signal is generated in the flatness control system to modify actuation of actuators in the rolling mill; wherein the region of interest has a width of less than half the width of the metallic strip; and wherein the region of interest comprises a region on each side of the strip and the total width monitored is less than half the total width of the metallic strip.
The various embodiments provide enhanced edge shape control and allows for faster production speeds
In one embodiment, the region of interest is on a periphery of one or more work rolls.
In this embodiment, the outer cylindrical surface of the work roll is monitored.
Preferably, the region of interest can be on an input or exit side of the rolling mill.
When monitoring the periphery of the work roll, this can be done at either the input or exit side.
Preferably, the region of interest may extend between a nip of the work rolls and a nip of a work roll and an adjacent support roll.
The length of the region of interest on either side may be up to half the circumference of the work roll.
In another embodiment, the region of interest can be at an edge of the metallic strip exiting the work rolls.
In this embodiment, a region of the metallic strip exiting the work rolls is monitored.
Preferably, the region of interest may have a length less than the length of the metallic strip between a nip of the work rolls and a strip re-coiler.
When the metallic strip is being monitored, the length of the region of interest preferably does not extend beyond the strip recoiler.
Preferably, the system further may comprise a fixed mount thermal imaging device with a field of view capable of measuring the temperature, or temperature variances, for all product width combinations in a particular application.
This may be a particularly cost effective option.
Preferably, the system further may comprise a mount for each thermal imaging device, each mount being adapted to allow transverse movement of the device across the width of the region of interest on the metallic strip.
Preferably, the device may adjust its transverse position in response from up to date information in the control system on the product being rolled.
This may allow for better resolution and system response.
Preferably, the device may adjust its transverse position in response to edge position detected by the thermal imaging device.
This may allow for fully automatic online edge control and also feedback position to other mill actuators.
Preferably, the system may further comprise a flatness measurement device on the exit side of the rolling mill.
Preferably, the actuators may comprise at least one of hot edge spray controllers and inductor controllers.
Preferably, both temperature and temperature variance can be monitored.
In accordance with a second aspect, a method of monitoring strip edge flatness of a metallic strip in a rolling mill comprises measuring a temperature, or temperature variance across a region of interest using a thermal imaging device, wherein the region of interest has a width of less than half of the width of the strip; and wherein the region of interest comprises a region on each side of the strip and the total width monitored is less than half the total width of the metallic strip, the method further comprising deriving a control signal based on the measured temperature or temperature variance; and controlling operation of actuators in the rolling mill using the derived control signal to provide enhanced edge shape control.
In one embodiment, the temperature, or temperature variance, can be measured on a periphery of one or more work rolls.
Preferably, the region of interest can be on an input or exit side of the rolling mill.
Preferably, the region of interest may extend between a nip of the work rolls and a nip of a work roll and an adjacent support roll.
In an alternative embodiment, the region of interest can be at an edge of the metallic strip on an exit side the rolling mill.
Preferably, the temperature, or temperature variance, can be measured over a section of length less than or equal to the length of the metallic strip between a nip of the work rolls and a strip re-coiler.
Preferably, the method further may comprise a fixed mount thermal imaging device with a field of view capable of measuring the temperature or temperature variances for all product width combinations in a particular application.
Preferably, the method further may comprise a mount for each thermal imaging device, each mount being adapted to allow transverse movement of the device across the width of the region of interest on the metallic strip.
Preferably, the device may adjust its transverse position in response from up to date information in the control system on the product being rolled.
This can allow for better resolution and system response.
Preferably, the device may adjust its transverse position in response to edge position detected by the thermal imaging device.
This may allow for fully automatic online edge control and also feedback position to other mill actuators.
Preferably, the method further may comprise measuring flatness of the strip using a flatness measurement device on the exit side of the rolling mill.
Preferably, the method may further comprise inputting signals from the flatness measurement device to the flatness control system to further modify the control signal to the actuators.
Preferably, both temperature and temperature variance can be monitored.
In modern automation of rolling mills, certain control levels are defined. Level 1 covers basic automation, for example using programmable logic controllers. Level 2 covers process automation systems for process control, for example process models and diagnostics. Level 3 covers production automation, for production planning and control systems, for example shop floor and quality management. In a normal rolling mill environment flatness control sits in the level 1 category. However this is not exclusively where flatness control takes place.
The various embodiments make use of thermal imaging devices in a particular way, in order to monitor strip edge flatness. Two examples of prior art systems that use thermal radiation to measure strip flatness, rather than using a flatness measurement roll as referred to above, are described below. DE2747729A1describes, as shown in
The prior art examples mentioned above are both concerned with determining temperature across the strip, acting as alternatives to the conventional contact roll pressure method. Neither of them focuses on the detection of strip edge flatness defects in order to reduce strip breaks and improve production rate and product quality. Furthermore, the methods in both prior art examples do not lend themselves for use on modern high speed rolling mills, particularly in the modern high speed aluminium strip rolling environment.
The various embodiments, applied in a high speed rolling mill, enable strip edge flatness defects to be determined by monitoring temperature gradient over a limited area of interest at the periphery of the path which is taken by the metallic strip. There are two methods of carrying out the monitoring. In a first method, a thermal imaging device is targeted at top or bottom, or both, surfaces of a work roll in the locale of the strip edges on the input or exit side of the mill. By continuously monitoring the cylindrical surface of the roll, the roll periphery, for any temperature variation between inboard and outboard sections of the strip passing through, feedback can be provided to a central processor to control the heat input and position of edge shape improvement actuators. Alternatively, imaging devices are targeted to map the temperature at the edges and inboard of the edges of the exiting strip in order to continuously monitor under worked and cool tight edges and over worked and hot loose pockets that fall inboard of the strip edge. The information obtained is then used to position and control the correct heat input with the edge improvement enhancement actuators, so that edge flatness improvement is provided by reducing the shape error.
In addition to the flatness control, the thermal imaging device can be used to accurately detect the strip edge position which to date is an ongoing concern. There are other strip edge sensing devices available ranging from fixed inductance detectors (the most expensive solution, but also the most accurate with an accuracy in the region of +/−1 mm), backlighting the strip and using a traversing, or fixed line scan cameras and light sources under the body, or strip, with motorised traversing photo electric cells above. When the photo electric cell has 50% shadow, or coverage, the cell is aligned with the strip edge. An encoder, or displacement guide, on the traversing mechanism reports the position to the mill control system.
To detect the strip edge the thermal imaging device senses the difference in temperature between the ambient surroundings outside of the strip and the edge of the worked strip. The image is then processed to report the position of the strip edge in relation to the device field of view and if a traversing type, by taking into account the traversed position from an encoder, or linear displacement sensor.
Specific examples of the system are described in more detail in
The region of the work roll that can be used for temperature measurement is anywhere on the radial periphery of the work roll between the roll nip 110 and an interface 111 between the work roll 103 and any adjacent supporting roll 104. To compensate for all strip width variations the cameras 105 are able to automatically adjust their transverse position 113 by either sensing the strip edge 114 through temperature information received in the signals 120 from the thermal imaging devices 105, or recipe driven from strip width data from the mill control system. An alternative to sensors having variable positions is to have fixed sensors, but to use sensors 105 with a wide angle field of view, so that the edge of the strip for the particular strip width range is accommodated in the wider viewing angle and so the corresponding region of the work roll at which the camera is targeted.
The information received in the signals 120 from the thermal sensors is reported to the flatness control system 107 which then interprets the signals and if necessary, combines, or compares the thermal information signals with signals 121 received from the flatness measurement roll 102 and outputs a signal 122 to control the edge shape enhancement actuators 106. The actuators may be, for example, but not limited to, coolant sprays, shift, bend, hot edge spray, or edge inductors. The actuators are controlled in a manner to correct any edge flatness defects. The process is in the form of a substantially real-time feedback control loop, so during rolling the edge shape is continually monitored by the sensors and the actuators modified by the flatness control system to correct the shape of the strip edge.
The various embodiments provide automation of edge flatness control by using signals 120 fed from thermal imaging sensors 105 and optionally from the flatness measurement roll, to the level 1 mill control centre 107, where the sensors are directed at either the work rolls, or the metallic strip. The mill control centre is then able to generate signals 122 which are output to modify actuators 106 at the input to correct errors in the edge flatness. With an automated feedback system, improved edge flatness is achieved in combination with high speed operation.
Number | Date | Country | Kind |
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0904802.6 | Mar 2009 | GB | national |