熱連軋粗軋非對稱板形控制模型研究及應(yīng)用
[Abstract]:The research of flatness theory and control technology is a hot topic in the field of strip rolling, and has been highly concerned by researchers and production enterprises. At present, the research of symmetrical shape control technology has been relatively mature, but the research of asymmetric shape control technology is relatively insufficient due to the existence of complex production mechanism and the influence of a large number of nonlinear and coupling relations. For a long time, there is no effective on-line control strategy and control model, and the production process can only rely on manual intervention, which leads to the lack of control precision and easy to produce shape quality problems, which seriously affects the quality of the finished steel strip. In this paper, aiming at the problem of asymmetric slab shape in the rough-rolled area of 2250mm, a comprehensive leveling model for sickle bending of rough-rolled slab is established based on various numerical calculation methods. The main results are as follows: (1) the calculation formula of bending quantity of sickle for export slab is established. By establishing the dynamic thermo-mechanical coupling finite element model of roll and workpiece, considering the material and equipment, the mechanism of asymmetric slab shape at the outlet of rough rolling is analyzed, and the accuracy of the calculation formula is verified. This paper provides a theoretical basis for the setting model of sickle bending leveling for rough rolling slab. (2) the calculation model of sickle bending leveling based on the rolling force difference between two sides is established. Through the combination of spring equation and finite element method, aiming at the main factors that cause slab sickle bending, such as longitudinal stiffness deviation of both sides of rolling mill, feed wedge and walking deviation, the corresponding adjustment amount is calculated respectively, and combined with the formula of sickle bending amount, The roll slant adjustment value of each pass of roughing mill is calculated. This model has a complete theoretical foundation and is an effective adjustment method for each pass of roughing mill. (3) the calculation model of sickle bending leveling based on centerline offset is established. The deflection data of the center line measured by the width meter are used to analyze the bending information of the sickle of the slab, and the thickness difference between the two sides of the slab is transformed into the thickness difference between the two sides of the slab, and then the roll slanting adjustment value is solved. The definition of transverse flow factor and the finite element method are introduced into the model to ensure the adaptability of different working conditions. Based on the measured data of sickle bend, the model can effectively adjust the first pass and even number pass of roughing mill. (4) the control strategy of synthesizing two kinds of leveling calculation models is proposed. A comprehensive leveling prediction model of sickle bending based on RBF neural network and on-line self-learning are established to optimize the correction coefficient of roll slant adjustment value for each pass, which can continuously improve the setting accuracy of sickle bending leveling model through the measured rolling data. A complete sickle bending control system with automatic optimization capability is formed. After the sickle leveling model has been put into operation since the experiment, the bending rate of the sickle is decreased from 24.88% to 6.62%, which indicates that the model can effectively control the bending problem of the sickle and improve the control level of the sickle bending.
【學(xué)位授予單位】:北京科技大學(xué)
【學(xué)位級別】:博士
【學(xué)位授予年份】:2015
【分類號】:TG334.9
【參考文獻】
相關(guān)期刊論文 前10條
1 李林;;SP定寬軋制板形側(cè)彎機理與策略[J];寶鋼技術(shù);2007年02期
2 吳剛,孫一康;多變量模糊預(yù)測控制在板形板厚綜合系統(tǒng)中的應(yīng)用[J];北京科技大學(xué)學(xué)報;1999年04期
3 王愛麗;楊荃;何安瑞;劉華強;;熱連軋粗軋區(qū)FES寬展模型及其優(yōu)化[J];北京科技大學(xué)學(xué)報;2010年04期
4 宋勇;蘇嵐;荊豐偉;劉文仲;;熱軋帶鋼軋制力模型自學(xué)習(xí)算法優(yōu)化[J];北京科技大學(xué)學(xué)報;2010年06期
5 楊荃,陳先霖;軋制帶材的瓢曲生成路徑[J];北京科技大學(xué)學(xué)報;1994年01期
6 費慶,戰(zhàn)守義,胡浩平,張迪生;基于神經(jīng)網(wǎng)絡(luò)的熱軋帶鋼寬度預(yù)報與設(shè)定[J];北京理工大學(xué)學(xué)報;2004年12期
7 張殿華,王君,鄭芳,王國棟;板帶熱連軋機組活套高度模糊控制[J];東北大學(xué)學(xué)報;2000年02期
8 胡賢磊,王昭東,于解民,劉相華;結(jié)合模型自學(xué)習(xí)的BP神經(jīng)元網(wǎng)絡(luò)的軋制力預(yù)報[J];東北大學(xué)學(xué)報;2002年11期
9 趙憲明,王國棟,樸海斗,崔承甲;立輥形狀對粗軋板坯側(cè)彎的影響[J];東北大學(xué)學(xué)報;2002年12期
10 丁敬國;焦景民;昝培;劉相華;;基于模糊聚類的PSO-神經(jīng)網(wǎng)絡(luò)預(yù)測熱連軋粗軋寬度[J];東北大學(xué)學(xué)報(自然科學(xué)版);2007年09期
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