Dissertation > Industrial Technology > Metallurgy and Metal Craft > Metal pressure processing > Rolling > Rolling mill machinery equipment

Study on the Width Control Model and the Structure Dynamics of 4200 Mill

Author WuHaoLiang
Tutor MengLingQi
School Zhengzhou University
Course Mechanical Manufacturing and Automation
Keywords Mill RBF Neural Network Control Model Nonlinear vibration Finite Element Modal Analysis
Type Master's thesis
Year 2010
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Along with the rapid development of the metallurgical industry and automation control technology continues to improve, companies are gradually improve the quality and accuracy requirements of the Plate steel. The conventional plate rolling schedule can not meet the production requirements of engineering, the backward control model can not achieve the accuracy requirements of the modernization of the rolling process, the urgent need to improve the degree of automation of the rolling process caused by equipment failure due to vibration, etc. frequent, and therefore need to be developed for the new the rolling control method and process specification, to explore the potential failure is reduced, and an effective way to improve production efficiency. Above in the analysis of the main factors to affect rolling width foundation, using a combination of artificial intelligence and mathematical models, the width of the control model of the 4200 mill. Improve the prediction accuracy of the network through the optimization of the model parameters, the overall error control in less than 4%, and BP network comparison reflects the RBF neural network predictive control with high precision and stability advantages of using the data of the different conditions the grouping established six RBF network model, analysis of the impact of the initial slab width and the diameter of the roll of the networking to improve the width control model accuracy of the 4200 mill. Elaborated control the precision of the width of the rolling Medium Plate Mill main drive system torsional vibration phenomenon, established in the entity model, mechanical model based on the nonlinear torsional vibration model of vertical roller mill, four order Runge-Kutta method to solve using MATLAB software simulation system angular displacement θ bifurcation diagram with the change of angular frequency ω, come to the system in different operating conditions of the phase diagram and Poincare map, find out of the system by periodic motion, quasi-periodic motion after a series of period-doubling bifurcations lead to chaos generated the law, to lay a solid foundation in order to ensure the quality of the rolled products, reduce equipment failure rates. Finally, the 4200 Mill agencies modal analysis explored using Solidworks software to complete the three-dimensional modeling, by means of the finite element analysis software ANSYS10.0 subspace method, under the guidance of the basic theory of modal analysis using the 4200 thick plate mill stand and support roll analytical solving drawn the rack 12 order modes and support roll 10 order modes, the focus of the greatest impact on the frequency of vibration deformation proposed effective control measures to improve production efficiency.

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