Dynamic Calatration Of Pneumatic Strip Shape Measuring Roll And Flatness Control Performance Study

Aluminum foil is widely used in various industrial production. It is necessary to improve the quality of flatness by using more control methods to meet the demand of high quality flatness. Shape examination is the most important thing in the flatness control particularly in the automatic flatness control. Whether the detection devices supply the online flatness information immediately and accurately for the control system directly influence the quality of the product. Flatness quality will become the key technical problem in the aluminum foil rolling process because the flatness measurement and control technology is imperfect. Therefore, the flatness measurement and control technology of thin plate and foil has become the key technology in the sophisticated rolling set of equipment.In this paper, the dynamic calibration bench has been designed in the base of the pneumatic strip shape measuring roll in our school. It analyzed the pressure change curves of the rotating rollers through a large number of experiments according to the method of the optical fiber sensor phase localization and obtained the periodicity rule of the curves along the circumference. It used the least-square principle and average method to eliminate the circumferential error of the pneumatic strip shape measuring roll. Further more, the corresponding experiment software has been developed by the virtual instrument software LabVIEW. It has obtained each measuring roller's pressure-load curve through the dynamic calibration and built the foundation for the flatness online measurement and control.Applying the pneumatic strip shape measuring roll in the 300 four-rollers reverse rolling mill,the result of the flatness recognition pattern which was recognized by the method of the fuzzy recognition pattern will be transferred to the gauge control system by using the DataSocket technology of virtual Instrument. Furthermore, it accomplished the AGC-AFC system.