| 双机架可逆冷连轧机组厚度分配途径 |
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| 引用本文： | 李慧超,蔡庆伍,余伟,杨荃.双机架可逆冷连轧机组厚度分配途径[J].北京科技大学学报,2004,26(4):424-428. |
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| 作者姓名： | 李慧超 蔡庆伍 余伟 杨荃 |
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| 作者单位： | 1. 北京科技大学材料学院,北京,100083
2. 北京科技大学机械学院,北京,100083 |
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| 基金项目： | 国家发展和改革委员会资助项目 |
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| 摘 要： | 为了提高双机架可逆冷轧机的生产效率和设备安全性,用改进后的综合等负荷函数法设计了双机架四辊可逆冷轧机轧制规范,通过ANSYS模拟得到了轧辊的最大压扁半径值,并用其改善了Stone轧制力模型的收敛性,满足了负荷分配的需要.实验表明,该方法将预报轧制力精度控制在8%以内.
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| 关 键 词： | 双机架可逆 轧制规程 等负荷函数法 规程优化 仿真 双机架可逆 连轧机组 厚度分配 Cold Rolling Double Schedule 精度控制 轧制力模型 预报 方法 实验 负荷分配 收敛性 Stone 改善 径值 压扁 轧辊 模拟 ANSYS |
| 修稿时间： | 2003年9月24日 |
Thickness Schedule in Double Stand 4-high Reversing Cold Rolling Mills |
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| LI Huichao,CAI Qingwu,YU Wei,YANG Quan
Materials Science and Engineering School,University of Science and Technology Beijing,Beijing ,China
Mechanical Engineering School,University of Science and Technology Beijing,Beijing ,China.Thickness Schedule in Double Stand 4-high Reversing Cold Rolling Mills[J].Journal of University of Science and Technology Beijing,2004,26(4):424-428. |
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| Authors: | LI Huichao CAI Qingwu YU Wei YANG Quan
Materials Science and Engineering School University of Science and Technology Beijing Beijing China
Mechanical Engineering School University of Science and Technology Beijing Beijing China |
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| Institution: | LI Huichao,CAI Qingwu,YU Wei,YANG Quan
Materials Science and Engineering School,University of Science and Technology Beijing,Beijing 100083,China
Mechanical Engineering School,University of Science and Technology Beijing,Beijing 100083,China |
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| Abstract: | In order to meet the need of equipment's security and manufacture, the rolling schedule of double stand 4-high reversing cold rolling mills can be made through a promoted integrated iso-load function. The max value of stave radius can be obtained from ANSYS simulation. At the same time the convergency of Stone rolling model is better. The schedule meets the need of rolling force distribution. It is indicated by experiment that precision of forecasted rolling force is within 8%. |
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| Keywords: | double stand reversing rolling schedule iso-load funcion method optimization |
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