An accurate prediction for the thermal crown of the continuously variable crown (CVC) work roll is a key to improve the accuracy of the computer on-line control model. In this paper, the authors have developed a finite difference model to simulate the thermal deformation of the CVC work rolls in hot strip rolling. The effects of the heat generation produced by the strip deformation and friction, heat conduction and convection on the thermal crown are introduced in the simulation. A comparison of the calculating roll temperature and measured values shows that they are in good agreement. Result shows that a model of calculating the thermal crown of the CVC rolls can be obtained based on the finite difference method. The modelling of the thermal crown of CVC rolls in hot strip rolling can improve the accuracy of on-line control model.

介绍了一种国外新近开发成功的板带钢超快速冷却装置 (UFC)，该装置用带有压力的水从刘相，密布的小孔中喷向轧件表面，用于热轧带钢其冷却速度可达300c/s以上，其实现超快速冷却的机理主要是能够大面积的击破冷却水与轧件间的汽膜。介绍了LIFC在生产线上布置的几种方式和典型应用例。对应用UFC开发超级钢，IF钢铁索体区热轧，双相钢、TRIR钢等高附加值产品作了介绍。

采用Gleeble1500热模拟试验机研究了一种新型Mn-Cr系齿轮钢在变形量为70%，变形速率为0.1～1s-1，变形温度为850～1150℃，原始奥氏体晶粒尺寸为70～150μm条件下的动态再结晶行为及再结晶后奥氏体晶粒尺寸的变化规律•研究结果表明：在一定的变形量下，变形速率、变形温度、奥氏体晶粒尺寸是影响再结晶的3个因素，只有变形条件Z小于上临界值Zc时才会发生动态再结晶•再结晶后奥氏体晶粒尺寸D是由变形条件Z惟一地决定而与原始奥氏体晶粒大小无关，Z 增加，D减小，二者符合关系式Z=AD-3.91。

针对宝山钢铁（集团）公司2050热连轧层流冷却系统，采用神经网络与数学模型相结合的方法，给出优化的层流冷却对流换热系数，以实现准确地预报卷取温度的目的。结果表明，采用神经网络计算出的对流换热系数后，卷取温度的计算值与实测值的标准差降低了22184%，效果显著。

The thermal wear ratio of a high speed steel roll was investigated experimentally in hot strip rolling with a DTW-166 thermal wear testing machine developed by the authors. It is clear that the wear ratio increased with number of cycles. Some of the increase in wear was because of the black oxide layer generated on the roll surface at the beginning. The wear ratio also increased as slippage ratio and loads increased. Loads played a more important role than slippage ratio for thermal wear. The appearance of the roll surface was observed by SEM under different conditions. The mechanism of thermal wear was composed of adhesive, microploughing, mirocutting, oxidation, and plastic slippage wear.