通过理论推导和现场实验相结合，建立了新的轧制力模型。
On the basis of theoretic analysis and experiment, the new rolling force model has been developed.
为了提高轧制力模型预报值的精度，提出了一种基于人工神经网络的轧制力建模新方法。
For improving the precision of prediction of rolling model, a new method using artificial neural networks of rolling force modeling is put forward.
分析了鞍钢冷轧厂4机架冷连轧机轧制力模型，指出了其存在的主要缺陷，并提出了改进方案。
The traditional rolling force model of 4-stand tandem cold strip mill at Anshan Iron and Steel Corporation was analyzed, and some defects were found out.
现场在线应用结果表明：给出的轧制力模型具有良好的预测精度，预测误差可以控制在5%以内。
The result of on-line application indicated that rolling force model has good precision of prediction with an error less than 5%.
用神经元网络的方法代替传统轧制力模型的计算。解决与精轧机组设定模型有关的轧制力预报问题。
This paper discusses using the neural network to predict the rolling force which is the key-point of the set-up model for the finisher of hot strip mill.
在分析冷连轧机轧制力模型各种影响因素的基础上，通过理论推导结合现场试验建立了新的轧制力模型。
On the basis of analyzing factors to influence the rolling model of tandem cold strip mill and combining rolling theory with experiment, a new rolling force model was developed.
应用DEFORM - 2d软件对带钢热连轧过程的轧制力进行了有限元模拟，并与宝钢轧制力模型进行了比较。
Based on the rolling force model and field data of Baoshan steel plant, the rolling force during continuous hot strip rolling process is simulated by using the DEFORM-2D software.
神经网络技术为我们提供了一个有效的建模工具，但目前基于神经网络建立轧制力模型的方法在国内外多局限于工艺研究。
The technology of neural networks has been provided as a effective tool. But the method of modeling of rolling force, which based on neural network, is still in the phase of research in the world.
介绍预计算轧制规程中所使用的轧制力模型，在此基础上根据轧制过程中的仪表反馈数据开发出一种新的轧制力自学习模型。
Introduce the rolling force mathematic model used in pre-calculated rolling schedule and a new rolling force learning model based on feedback data from the instrument in rolling process.
为了提高中厚板轧机轧制力的预报精度，采用轧制力模型自适应与人工神经元网络相结合的方法进行中厚板轧制力的在线预报。
In order to improve the precision of the model, a new method using self adaption and artificial neural networks to predict rolling force was developed.
对神经网络模型的仿真测试表明该神经网络轧制力模型有较强的泛化能力，收敛速度快，不易陷入局部最优，精度明显高于传统的轧制力模型。
Simulation result shows that the model has the following merits: definite extend ability, high convergence velocity, not easy getting in local optimization, and higher precision.
介绍了如何采用离散型系统仿真力法，以生产实际数据来建立钢锭从浇注到轧制过程的系统仿真模型的做法。
This paper introduces how to apply discrete system emulation method to establish a system emulation model from casting to rolling for steel ingot based on production data.
因此，建立精确实用的轧制力计算模型，就成为连轧无缝钢管轧制领域内的一个具有重大应用价值的研究课题。
Therefore, establishing the precise and practical rolling-force calculation model has become a research project with important applied worth in the continuous rolling-seamless steel pipe field.
为提高冷连轧机轧制力的预报精度和预报速度，用蚁群算法和神经网络相结合的方法进行轧制力预报模型设计。
To improve the precision and efficiency of rolling force prediction on tandem cold rolling mill, a neural network model combined with ant colony algorithm is presented.
轧制力数学模型是冷轧工艺控制系统的中枢模型。
Rolling force model is the crucial model for process control in cold rolling.
该模型可为计算304L不锈钢的轧制力提供理论依据。
This model provides necessary theoretic basis for 304L stainless steel calculation of rolling force.
采用该模拟软件，可对流动应力模型影响轧制力的程度进行分析，也可对传热模型影响轧制力的程度进行分析。
The simulating software can be used not only to analyze the dependency of the rolling load on flow stress models, but also the dependency of the rolling road on thermal transfer models.
首先总结了轧制过程中传统的轧制力数学模型和AGC数学模型及相应的建模方法，指出了它们存在的缺陷和不足。
First, this paper summarizes the mathematic models of rolling force and AGC used in traditional rolling process and the relative methods of modeling. The defects of those methods are pointed out.
采用微分方程的解析解法和数值解法相结合的思路建立了中厚板热轧过程温度场、变形场和轧制力的综合求解模型。
A combined analytic and numerical method for predicting the temperature, deformation and rolling pressure for plate hot rolling was established.
这些模型可以用于生产中预测轧后带钢表面粗糙度、合理安排带钢轧制顺序、决定工作辊下机时间和修正轧制力计算模型。
The models can be used to predict strip surface roughness, arrange steel strip rolling order reasonably, decide the time of work roll off mill and modify the calculation model of rolling force.
采用人工神经网络方法，以生产实测数据为基础，建立了高精度的中厚板精轧机轧制力预报模型。
On the basis of measured data of the 3000mm plate mill, the predicting model for plate rolling load of finishing stand has been developed with artificial neural network method.
试验研究证明，所设计模型具有良好的适应能力，提高了轧制力的预报精度。
Experiment results indicate that the designed rolling force model has better adaptive capability and high prediction accuracy.
根据某初轧机的结构设计方案，利用大型有限元软件ANSYS，建立了结构分析模型，得出了该轧机机架容易激发的固有频率与振型，以及承受最大轧制力时的变形程度。
Based on the structural design scheme for a type of blooming mill, the structural analysis model is established by means of the FEM software ANSYS.
分析了宝钢一、二热轧精轧轧制力计算模型，并与轧制力计算模型的一般形式进行了比较。
The rolling force prediction models for the 1st & 2nd hot rolling mills in Bao Steel are analysed and compared with the general form of the force prediction model.
本文建立了四辊铝箔轧机分割模型，考虑了工作辊温度场、铝箔轧制力不同于带材轧制之处、工作辊边部的压靠。
The point matching method is used to calculate the roll deformation of four-high aluminum foil mill, work roll's heat crown, foil rolling force and roll kiss rolling being considered.
本文建立了四辊铝箔轧机分割模型，考虑了工作辊温度场、铝箔轧制力不同于带材轧制之处、工作辊边部的压靠。
The point matching method is used to calculate the roll deformation of four-high aluminum foil mill, work roll's heat crown, foil rolling force and roll kiss rolling being considered.
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