中厚板轧机毕业论文

Plate Plate Mill is the main rolling equipment, shoulders rolling steel pressure vessels, Offshore Steel, ships and other high-quality steel-plate production tasks. In order to improve the production process of rolling automation level and production efficiency, need for the rolling process of plate deformation accurate prediction and control. Spread change prediction model is rolling width control technology set the width of the core functions of calculation, its accuracy will have a direct impact on the width of the finished product control effect. Only by correctly calculated and the estimated spread of size, can be rolled out in line with the requirements of the products. According to the same size and principles, spread by the size of the volume can be calculated directly for the blank size, So research process of rolling wide changes in the size of the development is of great significance. Is necessary considering the plate mill modern production methods of operation and modern art, Forecast to achieve automatic control system SL process of deformation spread. Spread a theoretical analysis and development of wide deformation refers to the rolling workpiece width along the direction of deformation. Rolling in different conditions, the blank in the process of rolling spread along the height of the cross-sectional analysis shown in Figure 1. Spread △ Says generally following components : sliding spread △ Yue. The figure △-wide outreach and drum-wide outreach △ B3 [11 o spread is a complex deformation of the deformation process. in the process of rolling wide impact on the development of many factors. Spread with a series of rolling factors have complicated relations : △ B = f (H, h, l, B, D, ψa, Δh. ε, f, t, m, Pδ, V, ε) (I) where : a ψ, H, h for the SL system before and after the deformation zone thickness; I, B, D deformation zone for the length, width and roll diameter; deformation of the cross-sectional shape; Δ h, ε, to pass, Reduction; . F, t, m coefficient of friction, rolling temperature, the chemical composition of metal; P δ for the metal mechanical properties; V, ε roller linear velocity and deformation rate. From the above analysis shows that the sheet rolling process, not only with the width of the thickness reduction has increased, sheet width but also by the process of rolling many factors, these factors between the relations are very complicated, difficult to traditional mathematical models to achieve changes in the spread forecast precision. If considering various parameters on the workpiece width of change, using a mathematical model expression is extremely complicated, can not be directly applied to engineering practice. For 42 oo ~ L machine width, the mathematical model for the information have also introduced, Researchers at home and abroad to establish the spread mathematical model has a very wide range, but mainly on the basis of the measured data of the scene, Spread consider the influence of changes in several key factors, ignore other factors, the use of regression analysis of the mathematical model, This is bound to cause certain error; and the spread of existing model are limited in their scope of application. Neural network is highly nonlinear processing capability, operation and high accuracy on-line real-time response characteristics, In describing the spread on the deformation has obvious advantages. Therefore, the deformation of the spread of automatic detection and forecast process, the use of artificial neural network, introduction GRNN (GRNN) model algorithm to achieve the width deformation forecast, Rolling to the actual production process spread deformation control provide precise control basis.

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