共查询到18条相似文献,搜索用时 93 毫秒
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现代带钢热轧机生产过程中的轧件跟踪 总被引:3,自引:0,他引:3
分析了轧件跟踪的目的和实现方法以及跟踪系统的组成。轧件在轧制线上的位置及其数据在数据区的起始地址完全由该轧件所在区段的跟踪指示器的内容所确定。 相似文献
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Numerical Simulation of Temperature Field and Thermal Stress Field of Work Roll During Hot Strip Rolling 总被引:3,自引:0,他引:3
Based on the thermal conduction equations, the three dimensional (3D) temperature field of a work roll was investigated using finite element method (FEM). The variations in the surface temperature of the work roll during hot strip rolling were described, and the thermal stress field of the work roll was also analyzed. The results showed that the highest roll surface temperature is 593 ℃, and the difference between the minimum and maximum values of thermal stress of the work roll surface is 1457 MPa. Furthermore, the results of this analysis indicate that temperature and thermal stress are useful parameters for the investigation of roll thermal fatigue and also for improving the quality of strip during rolling. 相似文献
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Two-Dimensional Transient Temperature Field of Finish Rolling Section in Hot Tandem Rolling 总被引:12,自引:0,他引:12
YANGLi-po PENGYan LIUHong-min 《钢铁研究学报(英文版)》2004,11(4):29-33
Comprehensively considering the factors such as descaling cooling, air cooling, watercooling, frictional heat and deformation heat in gap of every stand, heat conduction betweenwork roll and strip etc, a model of two-dimensional transient temperature field of finish rollingsection in hot tandem rolling was built with finite difference method to calculate the temperaturefields of strip and work roll. So two-dimensional accurate analysis and calculation of strip tem-perature were realized, and the theoretical basis for predicting and controlling strip temperaturewas provided. The simulated results show that the model is practical and reliable. 相似文献
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Hot strip rolling process includes four main stages, which are reheating process, roughing and finishing process, laminar‐cooling process, and coiling process respectively. Temperature is the most sensitive parameter and has direct effect on the microstructural evolution and further the mechanical properties, and the accurate control of temperature guarantees the quality of products and homogeneity of properties along the strip length. However, for the conventional hot strip rolling process, thermal history along the strip length is very complex, the related temperature variation concerns air cooling, water cooling, heat transmission by roll contact, heat generation by deformation and friction. Based on the actual hot strip mill, the thermal models are established in this paper to simulate the temperature distribution along the whole strip length from the reheating furnace exit to the down coiler. Different interface heat transmission coefficients are selected for the scale breaking and spray water‐cooling process, and a self‐learning algorithm is thus employed to improve the calculation accuracy. This model is characterized as simple and fast, and convenient for on‐line/off‐line prediction of temperature. Finally the simulated results are verified by the on‐line temperature detection at typical points such as roughing exit (RT2), finishing exit (FT7) and coiling position (CT). 相似文献