轧制力

PC轧机轧制力分布的研究

Study of rolling force distribution along the rolling of pair cross mill

H型钢轧制力的数值模拟分析

Numerical Simulation on H - beam Rolling Force

步长BP人工神经网络的轧制力模型研究

Study of Rolling Force Model for Neural Networks with Changing Rate

H型钢轧制力和力矩的研究

On the pressures and the torques of rolling h-stocks

粗轧过程轧制力BP神经网络预报

Prediction of rough rolling force by BP neural networks

基于MATLAB的BP网络预报2350中板轧制力能参数

Prediction of rolling force in 2350 plate mill by BP network based on MATLAB

考虑轧件弹性变形的Hill轧制力显式公式

Hill explicit expression of rolling force taking into consideration elastic deformation of rolled stock

RBF网络优化设计及在轧机轧制力预报中的应用

Optimized Design of RBF Network and Its Application in Rolling Force Prediction

具有NN分级误差补偿器的轧制力预报模型

Rolling force prediction model based on error compensation with multi-level NN

CSP生产线轧制力模型的研究及优化

Research and Optimization on the rolling force model at CSP line

考虑了轧辊交叉对轧制力的影响，建立了PC热连轧机轧制力计算模型。

Taking the influence of pair cross rolls into account , the rolling force calculation model of hot strip mills is established .

利用显式动力学有限元技术模拟了H型钢的热轧变形过程，给出了各变形参数对H型钢轧制力的影响规律，分析了这些主要影响规律的产生原因。

Based on dynamic explicit finite element method , the hot rolling of H-beam was simulated . The effects of various parameters on rolling force were studied .

应用热力耦合大变形有限元方法，模拟了H型钢的热轧变形过程，给出了轧制力的大小及其分布方式。

By Thermomechanical Coupled Finite Element Method , the hot rolling processes of H beam were simulated , and the rolling pressures and their distributions were obtained .

基于Elman神经网络的炉卷轧机的轧制力预报

Rolling Force Prediction of Steckel Mill Based on Elman Neural Network

介绍了采用动态设定DSU、TaperHead、TaperTail控制算法以维持轧制力恒定来保证板形。

The control algorithms about DSU , Taper Head , Taper Tail are introduced to ensure flatness by maintaining steady rolling force .

又针对轧制力控系统响应速度快、控制精度高、抗干扰能力强等设计要求，设计了基于BP神经网络自整定PID控制器，它能够根据系统参数的变化自适应地调整PID控制器参数。

Because of the design requirements of rapid response , high control precision and anti-interference of the rolling force control system , A BP neural network adaptive PID controller is designed .

利用BP神经网络，以某热轧厂粗轧机组数据库中的数据为训练样本，采用两种训练方案，对粗轧过程轧制力进行预测。

Based on the measured data from a hot strip mill , the rolling force in roughing was predicted by means of BP neural networks which adopted two kinds of training methods .

结果表明：锁定轧机弹跳量的AGC系统优于锁定轧制力和辊缝的AGC系统。

The result is that the AGC system of locking mill elastic extension is better than that of locking roll-load and mill gap .

对带钢厚度偏差和轧制力偏差进行BP智能预测，并提出变辊缝法偏差校正算法实现偏差校正。

The strip thickness deviation and the rolling force difference were predicted by BP neural networks , and a correction algorithm was carried out to rectify these deviations by changing the roll gap .

基于Gleeble-1500的粗轧机轧制力的研究

Research on Rolling Force of Rougher Mill Based on Gleeble-1500

本文根据神经网络的研究现状，对比了几种神经网络的优缺点，选择RBF网络来预测轧制力的变化。

Based on the neural network research , the passage makes a comparison between the advantages and disadvantages of neural network , RBF network to predict the rolling force change .

通过检测受轧机影响的那一部分轧制力，可实现厚度AGC的实时在线控制。这可有效地抑制偏心的影响，提高厚度控制精度。

By means of detecting force being influenced by rolling mill , this system product thickness can be restrained effectively , resulting in the improvement of product thickness precision .

试验结果表明，通过对剩余偏心成分的补偿分析，进一步调节控制量，有助于提高偏心控制的效果及轧件厚度的精度，并给出了F3机架轧制力实际的滤波效果。

By residual eccentricity compensation the roller eccentricity and gauge control can improved . The actual filtering effects on F3 rolling force are given .

将K（PG）系数用于设定模型后在四机架连轧试验机组上进行的计算机控制试验表明，实测压力和预报的轧制力的差别小于7%。

The results of computer set-up control ( with coefficient K_PG ) on an experimental 4-stand finishing mill indicated that the magnitude of the difference between the measured and estimated roll forces was less than 7 % .

在钢带的塑性变形和辊系的弹性变形之间建立比例关系，由此可以通过工作辊凸度、ASU分布、轧制力分布，定量的改变成品钢板的横向厚度差。

Then the cross-section thickness difference of finished strip can be controlled quantitatively based on the crown of work roll , distribution of ASU and rolling force .

笔者根据PSW轧机的特点，在轧棒理论和实践的基础上，推导了计算轧管轧制力的理论公式。

According to the characteristics of PSW , the formula of calculating the rolling force has been deduced on the base of theory and practice .

利用有限元分析软件DEFORM-3D对某厂5182铝合金板材热连轧过程进行数值模拟，建立了各机架轧制力数学模型。

Using the finite element analysis software DEFORM-3D to simulate the hot rolling process of 5182 aluminum alloy , and establish the mathematical model of rolling force .

利用支持向量机（SVM）建立轧制力模型，并由该模型分别对各输入变量进行偏微分，以计算轧制过程出口厚度灵敏度系数，从而解决解析方法难以求解的轧制过程模型“代数环”问题。

This paper presented a method for the calculations of the sensitivity factors for rolling process which is obtained by differentiating the roll force model based on SVM . It can eliminate the " algebraic loop " of the analytical model for rolling process .

在本体厚度控制中，提出了基于相位补偿的轧辊偏心控制方案，分析其特点及基于相位补偿控制的优越性，并给出实际的F3机架轧制力滤波效果。

The controller of roller eccentricity based on phasic compensation strategy is presented , and its characteristics and superiority are analyzed . The actual filtering effects of F3 rolling force are given .

基于位置闭环模型和轧制力闭环模型，分析了伺服阀、液压缸、管道等液压关键元件及性能参数对液压AGC系统的动态响应和稳态精度的影响。

Base on the position closed-loop model and rolling force closed-loop model , the dissertation separately analyzes the performance parameters of fluid power key elements such as servo valve , cylinder , pipe and its influence on hydraulic AGC systemic dynamic response and steady state accuracy .