Development and Experimental Evaluation of Strip Shape Prediction Model for Sendzimir Rolling Mills

It is difficult to obtain the desired strip shape using Sendzimir rolling mills because small diameter work rolls can be easily deformed by the rolling force. To control the strip shape effectively, it is important to understand the relationship between the behavior of the shape actuator and the variation of the strip shape. A numerical model based on the contact element method was proposed for the prediction of strip shape. In this numerical model, the relationships between the actuating forces, the roll deflections, the thickness profiles of the entry and exit sides, and the strip shape were considered. The proposed numerical model for strip shape prediction was evaluated by computer simulation and experiment with respect to various AS-U roll and first intermediate roll positions.     

张力减径过程管形预测的分组有限元模型

针对无缝钢管张力减径产品的管形问题,将张力减径过程分为机架内的轧制变形和机架间的网格再生过程,在有限元软件Marc平台上,建立了管形预测的分组有限元模型,进行三维热力耦合有限元模拟研究。结合某厂产品的轧制工艺,进行了管形模拟分析,并与实测数据进行对比,验证模型的可靠性。该模型为提高产品质量、指导工艺设计提供了研究手段。     

Quantitative Evaluation Method of Shape Indicator for Cold-rolled Strip

Quantitative level evaluation of cold-rolled strip was significant for the shape control and the product structure optimization. Based on the probability statistics method and the shape pattern recognition method, the shape evaluation model of cold-rolled strip was established to evaluate real-time shape of the online strip. The model was embedded in the shape control system, and the online strip shape state was real-time observed whether to meet the technical indicators, so the shape level could be identified and evaluated. Based on the shape evaluation indicators, the shape component could be well controlled to improve the shape hit rate and the control stability, so that the rolled strip shape could meet the technical requirements. At a 1050 cold strip mill, the shape data of the scene typical specifications strip were online collected and real-time evaluated, and the hit of macro shape in less than 8 I was 68.44%, indicating that the mill shape control had considerable room for improvement, as well as the evaluation method was feasible and practical for quantitative evaluation of the strip shape. So the new evaluation model has important guiding significance to increase value-added and reduce product quality objection.     

自调整动态神经网络模型及其在带材板形预测中的应用

 建立了一个自调整动态神经网络预测模型，它在BP网络模型基础上，对网络的自身结构及学习规则进行了动态优化。网络能自组织和自学习自己的结构，即在学习过程中，网络可根据具体问题自动调整本身的结构，从而使结构达到最优。在此基础上，建立了板形神经网络预测模型，经某带钢厂四辊冷轧实测数据仿真验证表明，该模型具有很高的预测精度。     

冷连轧板形板厚耦合关系及其解耦设计

 带钢冷连轧过程中,板形板厚控制存在着很强的耦合关系,相互影响对方的调节效果,甚至引起系统不稳定。对轧制过程中影响板形板厚的各控制因素进行了系统的理论分析,建立了板形（平坦度、凸度）板厚耦合模型,并在对2组耦合模型进行系统分析的基础上分别进行解耦设计,以某厂1720mm五机架冷连轧机的实际参数,采用Matlab/Simulink工具进行的仿真分析,证明平坦度与板厚解耦设计可有效提高板形板厚的控制精度。     

Compensation Model For Shape Measuring of Cold Strip Rolling

 The shape meter is interfered by some unavoidable factors in the process of cold strip shape measuring, so the measuring results can not reflect the ture shape and the measuring precision is low. In this paper, The influence of the measuring results is detailed analysed, which is influenced by the measuring error of strip edges、the transverse temperature difference of strip、the shape detection roller deflection and the shape of strip coil, The corresponding compensation models are established. And a cold strip mill is calculated as an example, gaines some disciplinarian cognitions.     

考虑来料板形遗传影响的带钢平直度模型

根据轧制理论中的体积不变原理和平直度的基本定义,考虑来料板形的遗传影响,推导出了以入口和出口带钢相对凸度差表示的带钢平直度模型.该模型在连轧机参数优化设计和辊型配置优化设计系统中均得到应用,效果良好.     

GE板形模型的功能及应用

梅钢热轧板厂于2002年引进了先进的凸度仪、平直度仪及GE板形模型,采用模型对窜辊量与弯辊力进行设定与闭环控制,板形质量有了量化指标与控制手段,通过几年的应用与实践,对板形模型的工作原理有了一定了解,文章论述了模型的设定策略、分配策略及控制策略,并阐述了该模型在负荷分配的优化、轧辊磨损量的优化、F4～F6工作辊原始辊型的优化及轧制计划的优化等方面的应用.     

一种新的板形预测模型

提出了一种新的板形预测模型.它不仅能直接给出板形预测结果,而且能为板形及板形控制理论研究提供科学依据,并通过试验验证了该模型的正确性.     

Fuzzy Shape Control Based on Elman Dynamic Recursion Network Prediction Model

Shape control systemis a complicated systemwith the characteristics of typical multi-variant ,ti me delay ,strong coupling and nonlinearity .Due tothe difficulty to establish precise analytic model andthe inaccuracies of classical and modern controlmethods based on empirical models ,it is more suit-able to adopt intelligent control strategy in shapecontrol system[1 -7]. Therefore , a parameter self-ad-justingfuzzycontroller was designed based onthe El mandynamic recursion network predication m…     

单机平整机轧辊的磨损及其对板形的影响

分析了单机架平整机轧辊的实际辊形、磨损状况,并通过运用有限元模型计算辊缝曲线的2次和4次分量研究了辊形对板形的影响.结果表明,工作辊磨损较轻,对辊形影响不大,但原始辊形与目标辊形差别较大,是产生1/4浪板形缺陷的因素之一;支持辊局部磨损较严重,但这种不均匀磨损对板形影响较小,在整个服役期内对板形的作用基本不变.     

热带钢连轧机工作辊温度场和热凸度预报模型

采用一种具有较高精度的样条有限条法对轧制过程中工作辊的温度场和热凸度进行计算和预报。结果证明，该模型理论计算值与现场实测值吻合较好，可以较准确地计算和预报热带钢连轧机工作辊的热凸度。     

高精度中厚板平面形状预测模型的研究及应用

针对中厚板轧制过程的工艺特点,利用ANSYS/LS-DYNA完全重启动技术建立了三维弹塑性有限元模型。对中厚板轧制过程进行了多工况多道次仿真研究,修正了轧件头、尾平面形状预测模型。根据数值仿真结果和修正模型建立了高精度中厚板平面形状预测模型。依据此模型计算结果设计成形MAS控制方案,经2 800 mm中厚板轧机试验验证...     

新钢热轧板形质量优化

介绍新钢热轧1 580 mm生产线在板形质量上存在的问题。通过优化轧辊辊形、轧辊磨损及模型参数优化,使产品板形质量得到较大改善。     

冷轧机的板形控制目标模型

建立了薄带冷轧机的板形自动控制目标设定模型,它以轧后带钢的在线屈曲和后屈曲理论为板形生成的力学判据,以实测带钢温度横向分布为补偿,分别在203OCVC冷连轧机和1250HC冷轧机上运行成功。生产实绩证明其控制效果优于原用的引进模型,板形质量显著提高。     

Definition and Verification of Shape Meter Method

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基于EEMD-HW-PSO-ELM耦合模型的排土场边坡位移预测模型

为了准确预测小样本、非线性特点的排土场边坡位移,提出了一种基于经验模态分解法、三次指数平滑法和粒子群优化极限学习机的EEMD-HW-PSO-ELM边坡位移组合预测模型。以伊敏露天矿排土场GPS位移监测数据为例,验证该模型的有效性。研究结果表明：EEMD模型分解后的边坡位移时间序列包括4个IMF分量和1个余量,将分解后的数据重构为趋势项和波动项,物理意义明确。分别选择三次指数平滑法和粒子群优化极限学习机预测趋势项和波动项位移,将分项预测结果的等权叠加值作为最终预测结果,预测值的平均相对误差为0.38%,均方根误差为1.15。选择了BP模型和Elman模型进行对比预测,结果表明组合预测模型的预测效果较好,能够为边坡安全管理提供理论依据。     

Online Shape Dynamic Wrapping Angle Compensation Model of Cold Strip

 In specific condition, when wrapping angle of cold rolling strip covering surface of shape detecting roll dynamically changes, online radial compression of the shape detecting roll is changed too, and it seriously affects online shape detecting precision of cold strip. Based on the latest intelligent shape meter developed by Yanshan University, using PSO-BP neural network and actual working condition datum, the cold strip online dynamic wrapping angle compensation model is established, and successfully applied in 1250 mm 6-high cold mill, remarkable results are achieved. The error between calculated values and measured values of total tensions is within 3%.     

Shape Setup System for 1700 Hot Strip Mill

 Shape setup (SSU) system is the core technology for hot strip mill (HSM). A precise SSU system was used to improve the strip quality for HSM. The function of SSU, setup, and feedback was introduced. The main mathematical models of roll gap profile and longitudinal strain difference are set up. Strip profile allocation strategy was researched according to the SSU system of a domestic 1 700 mm HSM. The SSU system was put into practical use and the measurement results showed that strip flatness variation and strip profile variation could be controlled in target scope.     

神经网络在热轧板凸度预报模型中的应用

以前馈式BP神经网络为基础,收集挑选轧机生产过程中对板形有影响的轧制因素作为模型输入参数,板凸度作为输出参数,利用SQL、Matlab及数据提取软件进行数据收集存储、管理、运算,建立神经网络热轧板凸度预报模型。通过大量样本训练,该系统已初步具备了预测板形质量的能力,且误差较小。系统应用后,提高了板形质量,降低了生产成本。