横向磁通感应加热激励参数对带材温度的影响及加热器优化

doi:10.13251/j.issn.0254-6051.2021.05.014

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金属热处理 ›› 2021, Vol. 46 ›› Issue (5) : 87-94. DOI: 10.13251/j.issn.0254-6051.2021.05.014

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工艺研究

横向磁通感应加热激励参数对带材温度的影响及加热器优化

闫朝辉^1,2, 汪友华^1,2, 刘成成^1,2, 武仕朴^1,2

作者信息 +

Influence of transverse flux induction heating excitation parameters on steel strip temperature and heater optimization

Yan Chaohui^1,2, Wang Youhua^1,2, Liu Chengcheng^1,2, Wu Shipu^1,2

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文章历史 +

摘要

在考虑带材物理性能参数随温度变化的前提下，基于横向磁通感应加热耦合场的迭代计算，分析了不同激磁电流、电流频率和带材运动速度对钢带材温度分布的影响。对感应加热器模型进行了优化，改变加热器与带材之间气隙分布，设计了4种感应加热器模型，分析了在不同加热器模型下带材的平均温度和温度均匀性。对比了45钢和35CrMnSiA钢在原始加热器模型与改进后最佳加热器模型下的平均温度与温度均匀性。结果表明：优化后的感应加热器模型使带材表面温度分布更加均匀，平均温度更高。

Abstract

Under the premise of considering variation of the strip physical property parameters with temperature, the influence of different excitation current, current frequency and strip movement rate on steel strip temperature distribution was analyzed based on the iterative calculation of transverse flux induction heating coupling field. By changing the air gap distribution between the heater and the strip, the original induction heater model was optimized and other four induction heater models were designed, and the average temperature and temperature uniformity of the strips under different heater models were analyzed. The average temperature and temperature uniformity of the 45 steel and 35CrMnSiA steel under the original heater model and the improved optimal heater model were compared. The results show that the optimized induction heater model makes the surface temperature distribution of the strips more uniform and the average temperature higher.

导出引用

闫朝辉, 汪友华, 刘成成, 武仕朴. 横向磁通感应加热激励参数对带材温度的影响及加热器优化[J]. 金属热处理, 2021, 46(5): 87-94 https://doi.org/10.13251/j.issn.0254-6051.2021.05.014

Yan Chaohui, Wang Youhua, Liu Chengcheng, Wu Shipu. Influence of transverse flux induction heating excitation parameters on steel strip temperature and heater optimization[J]. Heat Treatment of Metals, 2021, 46(5): 87-94 https://doi.org/10.13251/j.issn.0254-6051.2021.05.014

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