The Experts below are selected from a list of 20169 Experts worldwide ranked by ideXlab platform
Kenneth J. Hunt - One of the best experts on this subject based on the ideXlab platform.
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Neural control of a steel Rolling Mill
IEEE Control Systems, 1993Co-Authors: D. Sbarbaro-hofer, D. Neumerkel, Kenneth J. HuntAbstract:The application of nonlinear neural networks to control of the strip thickness in a steel-Rolling Mill is described. Different control structures based on neural models of the simulated plant are proposed. The results for the neural controllers, among them internal model control and model predictive control, are compared with the performance of a conventional proportional-integral controller. By exploiting the advantage of the nonlinear modeling technique, all neural approaches increase the control precision. In the application considered, the combination of a neural model as a feedforward controller with a feedback controller of integral type gives the best results. >
Xiaoqiang Yan - One of the best experts on this subject based on the ideXlab platform.
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Research on vertical vibration of hot Rolling Mill under screw-down-strip combined excitation
'JVE International Ltd.', 2019Co-Authors: Biao Xiao, Xiaoqiang YanAbstract:In this paper, we find the violent vibration of the hot Rolling Mill is induced by the combination of the screw-down system and the strip, explain how the srew-down-strip combined excitation effects the Rolling Mill, and introduce an effective method to restrain the vibration. First, two experiments, stripless Rolling and turning off the screw-down system, are conducted, the first experiment simulates the Rolling process without strip and the second experiment simulates the Rolling process without the screw-down system, the results indicate that the Rolling Mill vibration is induced by the srew-down-strip combined excitation. Then, to explain this phenomenon, the mathematical model of the Rolling Mill under screw-down-strip combined excitation is proposed, we find that few excitation frequency components can induce more response frequency components, therefore it’s more possible to approach the natural frequency of the Rolling Mill. Finally, a vibration suppression method is introduced by eliminating some specified frequency components of the screw-down system with a filter, and the result shows that the vibration decreased by 98.7 %
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Dynamic Model of the Hot Strip Rolling Mill Vibration Resulting from Entry Thickness Deviation and Its Dynamic Characteristics
Hindawi Limited, 2019Co-Authors: Xinxin Wang, Xiaoqiang YanAbstract:The vibration demolding of the crystallizer leads to slab thickness deviation in continuous casting processes. Therefore, in this paper, the dynamic model of the hot strip Rolling Mill vibration resulting from entry thickness deviation is proposed and its dynamic characteristics are studied. First, the dynamic model of vertical vibration in the hot strip Rolling Mill is established based on Sims’ Rolling force model. Then, the model validity is certified by comparing the simulation with field test data from a 1580 hot strip Rolling Mill. Finally, we investigate the influence of model parameters on the dynamic characteristics of hot strip Rolling Mill vibration resulting from entry thickness deviation. The result indicates that hot strip Rolling Mill vibration resulting from entry thickness deviation can be reduced by increasing the area of the hydraulic cylinder piston side and the entry thickness as well as by decreasing the deformation resistance, Rolling speed, and equivalent stiffness
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Electromechanical Coupling Vibration of Rolling Mill Excited by Variable Frequency Harmonic
Advanced Materials Research, 2014Co-Authors: Yi Fang Zhang, Xiaoqiang Yan, Qi Hui LingAbstract:Using torque telemetry system to test the mechanical drive system of Rolling Mill,it is found that the torsional vibration and current signal in the electric drive system have the same obviously vibration frequency. The model of cycloconverter, synchronous motor and mechanical drive system of Rolling Mill are built and analysed by Matlab/Simulink and ANSYS.The simulation results show when the harmonic torque frequency and the torsional vibration natural frequency of for mechanical drive system are equal or close, the strong torsional vibration arouse It is proved that the convertor output current harmonics can induce the electromechanical coupling vibration of main mechanical drive system under the certain conditions.
Wu Xing-gang - One of the best experts on this subject based on the ideXlab platform.
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ANALYSIS ON THE SAFETY OF Y370 WIRE ROD Rolling Mill
China Molybdenum Industry, 2009Co-Authors: Wu Xing-gangAbstract:The security system of Y370 wire rod Rolling Mill is analyzed in this present.Difficulty and time in overhaul repair is reduced by improving safety pin and the structure of crown gear coupling.The rate of finished product is increased because wire rod Rolling Mill blocking is avoided.
D. Sbarbaro-hofer - One of the best experts on this subject based on the ideXlab platform.
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Neural control of a steel Rolling Mill
IEEE Control Systems, 1993Co-Authors: D. Sbarbaro-hofer, D. Neumerkel, Kenneth J. HuntAbstract:The application of nonlinear neural networks to control of the strip thickness in a steel-Rolling Mill is described. Different control structures based on neural models of the simulated plant are proposed. The results for the neural controllers, among them internal model control and model predictive control, are compared with the performance of a conventional proportional-integral controller. By exploiting the advantage of the nonlinear modeling technique, all neural approaches increase the control precision. In the application considered, the combination of a neural model as a feedforward controller with a feedback controller of integral type gives the best results. >
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Neural control of a steel Rolling Mill
Proceedings of the 1992 IEEE International Symposium on Intelligent Control, 1992Co-Authors: D. Sbarbaro-hofer, D. Neumerkel, K. HuntAbstract:The authors apply nonlinear neural control to strip thickness control in a steel Rolling Mill, Different control structures based on neural models of the simulated plant are proposed. The results for the neural controllers, which include internal model control and model predictive control, are compared with the performance of a conventional PI controller. By exploiting the advantage of nonlinear modeling, all neural approaches increase the control precision. The combination of a neural model as a feedforward controller with a feedback controller of the integral type gives the best results.
Wang Guo-dong - One of the best experts on this subject based on the ideXlab platform.
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Technological Design of New Type Pilot Cold Rolling Mill
Ironmaking & Steelmaking, 2007Co-Authors: Wang Guo-dongAbstract:According to the performance of existing pilot cold Rolling Mill,and the requirements to the pilot cold ro-lling Mill,a new type pilot cold Rolling Mill was designed.The cylinders and clamps are used to tension Rolling piece.The technology and parameters of this Mill are introduced.The experiment schedule should be given first,then the Rolling process can be designed according to the layout of the Mill.This new type pilot cold Rolling Mill has been used successfully.
