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1·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。

2·Rolling loads, however, require less mechanical effort to move the load once the initial inertia has been overcome.

滚动载荷则需要较小的拉力，并且在拉动以后可以凭借物体滚动惯性而得以移动。

3·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。

4·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。

5·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。

6·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。

7·Taking into account the rolling load is uneven, to balance electrical loads and reduce the electrical capacity slowdown in the increase between a flywheel and electric motors.

考虑到轧制负荷很不均匀，为了均衡电机负荷，减少电机的容量，在减速机和电动机之间加有飞轮。

8·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。

9·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。

10·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.

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。