| 神经网络技术在淬火控冷中的应用 |
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| 引用本文： | 彭开香,董洁,童朝南.神经网络技术在淬火控冷中的应用[J].北京科技大学学报,2003,25(4):370-373. |
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| 作者姓名： | 彭开香 董洁 童朝南 |
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| 作者单位： | 北京科技大学信息工程学院,北京,100083 |
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| 摘 要： | 热轧钢材的淬火冷却是改善钢材质量和性能的重要措施，淬火过程的核心就是控制钢板的冷却速度。针对传统的淬火控冷模型的固有缺陷，为了满足扩展钢种、规格及淬火温度高精度的要求，利用神经网络技术建立了神经网络淬火控冷温度预报模型，该模型与回归数学模型相结合，完成淬火控冷现场控制。应用结果证明，该综合模型极大地提高了钢板淬火冷却的控制精度，提高了产品的成材率。
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| 关 键 词： | 热轧钢材 淬火 冷却速度 热处理 冷却控制 神经网络 控冷温度预报模型 |
| 修稿时间： | 2002年7月14日 |
Application of Neural Networks to Quenching and Control Cooling |
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| PENG Kaixiang,DONG Jie,TONG Chaonan
Information Engineering School,University of Science and Technology Beijing,Beijing ,China.Application of Neural Networks to Quenching and Control Cooling[J].Journal of University of Science and Technology Beijing,2003,25(4):370-373. |
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| Authors: | PENG Kaixiang DONG Jie TONG Chaonan
Information Engineering School University of Science and Technology Beijing Beijing China |
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| Institution: | PENG Kaixiang,DONG Jie,TONG Chaonan
Information Engineering School,University of Science and Technology Beijing,Beijing 100083,China |
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| Abstract: | The quenching and cooling of hot-rolling steel is a important step to improve the quality and mechanical properties of steel plates. It is the key to a quenching procedure to control the speed of cooling. Against the inherent shortcoming of the traditional quenching model and for the requirement of expanding steel varieties, specifications and improving the precision of quenching temperature, a temperature forecast model in quenching and control cooling was established by the method of neural networks. Combining this forecast model with the previous regression mathematical model, the real-times control of quenching and control cooling was accomplished. The result shows that the comprehensive model improved greatly the controlling accuracy of quenching and cooling. |
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| Keywords: | neural network quenching mathematical model |
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