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

doi:10.13251/j.issn.0254-6051.2021.05.014

Abstract

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.

Key words: transverse flux induction heating, coupled field iterative calculation, heater optimization, 45 steel, 35CrMnSiA steel

CLC Number:

TG161

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.

References

[1]汤忠义, 梁合意, 徐友良. 金属材料与热处理[M]. 北京: 北京理工大学出版社, 2011.
[2]俞勇祥, 陈辉明. 感应加热电源的发展[J]. 金属热处理, 2000, 25(8): 28-31.
Yu Yongxiang, Chen Huiming. Development of induction heating power supply[J]. Heat Treatment of Metals, 2000, 25(8): 28-31.
[3]沈庆通. 感应加热技术的发展与思考[J]. 热处理, 2010, 25(5): 1-8.
Shen Qingtong. Development of induction heating and related consideration[J]. Heat Treatment, 2010, 25(5): 1-8.
[4]Li Feng, Li Xuekun, Qin Xiaofeng, et al. Study on the plane induction heating process strengthened by magnetic flux concentrator based on response surface methodology[J]. Journal of Mechanical Science and Technology, 2018, 32(5): 2347-2356.
[5]Lope I, Acero J, Carretero C. Analysis and optimization of the efficiency of induction heating applications with Litz-wire planar and solenoidal coils[J]. IEEE Transactions on Power Electronics, 2016, 31(7): 5089-5101.
[6]杨晓光, 汪友华. 横向磁通感应加热装置中线圈形状对涡流及温度分布的影响[J]. 金属热处理, 2003, 28(7): 49-54.
Yang Xiaoguang, Wang Youhua. The effect of coil geometry on the distributions of eddy current and temperature in transverse flux induction heating equipment[J]. Heat Treatment of Metals, 2003, 28(7): 49-54.
[7]杨晓光, 汪友华. 连续运动薄板横向磁通感应加热耦合场分析新方法[J]. 金属热处理, 2004, 29(4): 53-57.
Yang Xiaoguang, Wang Youhua. New method for coupled field analysis in transverse flux induction heating of continuously moving sheet[J]. Heat Treatment of Metals, 2004, 29(4): 53-57.
[8]孙于. 横向磁通感应加热器优化与耦合分析方法研究[D]. 天津: 河北工业大学, 2014.
Sun Yu. Research on optimal design of transverse flux induction heater and the coupled field analysis method[D]. Tianjin: Hebei University of Technology, 2014.
[9]汪友华, 吴建成, 刘成成, 等. 横向磁通连续感应加热过程中带材涡流场和温度场的仿真分析[J]. 金属热处理, 2019, 44(1): 229-234.
Wang Youhua, Wu Jiancheng, Liu Chengcheng, et al. Simulation and analysis of eddy current field and temperature field of strips during transverse flux continuous induction heating[J]. Heat Treatment of Metals, 2019, 44(1): 229-234.
[10]赵涛, 张浩, 王子兵. C型边部感应加热器磁-热耦合数值模拟[J]. 金属热处理, 2019, 44(7): 202-206.
Zhao Tao, Zhang Hao, Wang Zibing. Numerical simulation of electromagnetic-thermal couple field about C-type edge induction heater[J]. Heat Treatment of Metals, 2019, 44(7): 202-206.
[11]Wu J C, Wang S P, Wang Y H, et al. Sensitivity analysis of design parameters in transverse flux induction heating device[J]. IEEE Transactions on Applied Superconductivity, 2020, 30(4): 0600406.
[12]汪友华, 郭春福, 陈龙, 等. 横向磁通感应加热带材温度场的计算分析[J]. 金属热处理, 2017, 42(11): 178-182.
Wang Youhua, Guo Chunfu, Chen Long, et al. Calculation and analysis of steel strip with transverse flux induction heating[J]. Heat Treatment of Metals, 2017, 42(11): 178-182.