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.
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。
The main factor influencing computational accuracy of rolling load is the accuracy of material's flow stress.
分析了影响轧制力计算精度的主要原因，即来源于流动应力的准确性。
A rolling load distribution optimization algorithm of tandem cold mill was designed using particle swarm optimization algorithm.
利用粒子群算法设计了一种冷连轧轧制负荷分配的优化方法。
The rolling load resulted from the controlled rolling process during production can be decreased effectively by application of HTP.
采用HTP工艺可以有效降低其控轧生产时的轧制负荷。
Based on experiment data, a model for the relationship between the rolling load of an open mill and its affected factors was built with artificial neural networks.
在实验数据的基础上，利用人工神经网络建立开炼机横压力与其影响因素之间对应关系的数学模型。
The outcome shows this method can reduce rolling load, insure equipment operation safety and raise production ability and quality.
结果说明该方法对于降低轧制负荷，保障设备安全运行，提高产品的产量和质量有较好的作用。
The microstructure and properties of high manganese steel under the conditions of different rolling load were analyzed and studied through the om, TEM and HD-187.5 sclerometer.
利用光学显微镜、透射电子显微镜和HD- 187.5型硬度计对高锰钢在不同轧制应力条件下的组织和性能进行了分析和研究。
The microstructure and properties of high manganese steel under the conditions of different rolling load were analyzed and studied through the om, TEM and HD-187.5 sclerometer.
利用光学显微镜、透射电子显微镜和HD- 187.5型硬度计对高锰钢在不同轧制应力条件下的组织和性能进行了分析和研究。
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