梯度硬度滚刀刀圈的感应回火数值模拟

doi:10.13251/j.issn.0254-6051.2024.12.041

摘要/Abstract

摘要： 基于有限元软件建立了滚刀刀圈的电-磁-热多物理场耦合模型,对梯度硬度滚刀进行感应回火模拟。结果表明,滚刀刀圈感应回火过程中,感应电流密度和磁感应强度沿刀圈径向整体呈逐渐降低趋势,最大值出现在距离线圈最近的刀圈心部,自心部向刃部方向,刀圈温度呈逐渐递减的趋势。随线圈电流增大,刀圈的感应电流密度、磁感应强度、心部温度和刃部温度随之增大。随线圈电流频率增加,刀圈的感应电流密度、心部温度和刃部温度随之增大,但刀圈的磁感应强度下降。试验和仿真计算所得刀圈径向温度最大相对误差为8.1%,验证了模拟的准确性。

关键词: 滚刀刀圈, 感应回火, 数值模拟, 温度分布

Abstract: A coupled electric-magnetic-thermal multi-physical field model for cutter ring was established based on finite element software, and induction tempering simulation was performed on cutter ring with gradient hardness. The results show that during the induction tempering process of the cutter ring, the induced current density and magnetic induction intensity gradually decrease along the radial direction of the ring, with the maximum value occurring at the center of the ring closest to the coil. From the center to the edge direction, the temperature of the ring gradually decreases. As the coil current increases, the induced current density, magnetic induction intensity, core temperature and edge temperature of the ring also increase. As the frequency of the coil current increases, the induced current density, core temperature and edge temperature of the ring also increase, but the magnetic induction intensity decreases. The maximum relative error of the radial temperature of the cutter ring obtained from the experiment and simulation is 8.1%, which verifies the accuracy of the simulation.

Key words: cutter ring, induction tempering, numerical simulation, temperature distribution

中图分类号:

TG156.9

孙伟. 梯度硬度滚刀刀圈的感应回火数值模拟[J]. 金属热处理, 2024, 49(12): 254-261.

Sun Wei. Numerical simulation on induction tempering of cutter ring with gradient hardness[J]. Heat Treatment of Metals, 2024, 49(12): 254-261.

参考文献

[1]Li J, Jing L, Zheng X, et al. Application and outlook of information and intelligence technology for safe and efficient TBM construction[J]. Tunnelling and Underground Space Technology, 2019, 93: 103097.
[2]Tang B, Cheng H, Tang Y, et al. Experiences of gripper TBM application in shaft coal mine: A case study in Zhangji coal mine, China[J]. Tunnelling and Underground Space Technology, 2018, 81: 660-668.
[3]洪开荣, 王杜娟, 郭如军. 我国硬岩掘进机的创新与实践[J]. 隧道建设, 2018, 38(4): 519-537.
Hong Kairong, Wang Dujuan, Guo Rujun. Innovation and practice of hard rock TBM in China[J]. Tunnel Construction, 2018, 38(4): 519-537.
[4]Lin L, Mao Q, Xia Y, et al. Experimental study of specific matching characteristics of tunnel boring machine cutter ring properties and rock[J]. Wear, 2017, 378/379: 1-10.
[5]Wang L, Li H, Zhao X, et al. Development of a prediction model for the wear evolution of disc cutters on rock TBM cutterhead[J]. Tunnelling and Underground Space Technology, 2017, 67: 147-157.
[6]冯欢欢, 王树英, 杨露伟, 等. 复杂地质条件下TBM刀具失效形式及原因分析与应对措施[J]. 隧道建设, 2022, 42(1): 130-136.
Feng Huanhuan, Wang Shuying, Yang Luwei, et al. Forms and causes of failure in tunnel boring machine cutters under complex geological conditions and corresponding countermeasures[J]. Tunnel Construction, 2022, 42(1): 130-136.
[7]Zabett A, Azghandi S H M. Simulation of induction tempering process of carbon steel using finite element method[J]. Materials and Design, 2012, 36: 415-420.
[8]Saputro I E, Chen C P, Jheng Y S, et al. Mobile induction heat treatment of large-sized spur gear—The effect of scanning speed and air gap on the uniformity of hardened depth and mechanical properties[J]. Steel Research International, 2023, 94: 2200261.
[9]Liu L, Yu H, Yang Z, et al. Optimization of induction quenching processes for HSS roll based on MMPT model[J]. Metals, 2019, 9: 663.
[10]Li J, Zhang P, Hu J, et al. Study of the synergistic effect of induction heating parameters on heating efficiency using Taguchi method and response surface method[J]. Applied Sciences, 2023, 13: 555.
[11]Khalifa M, Barka N, Brousseau J, et al. Sensitivity study of hardness profile of 4340 steel disc hardened by induction according to machine parameters and geometrical factors[J]. The International Journal of Advanced Manufacturing Technology, 2019, 101: 209-221.
[12]Baldan M, Stolte M H, Nacke B, et al. Improving the accuracy of FE simulations of induction tempering toward a microstructure-dependent electromagnetic model[J]. IEEE Transactions on Magnetics, 2020, 56: 1-9.
[13]张永乐, 吴玉庭, 张灿灿, 等. 熔盐电磁感应加热器的数值模拟与分析[J]. 太阳能学报, 2021, 42(8): 243-250.
Zhang Yongle, Wu Yuting, Zhang Cancan, et al. Numerical simulation and analysis of molten salt electromagnetic induction heater[J]. Acta Energiae Solaris Sinica, 2021, 42(8): 243-250.
[14]陈素明, 杨平, 任树锋, 等. 30CrMnSiNi2A 钢轴类零件感应热处理的数值模拟[J]. 金属热处理, 2023, 48(4): 235-244.
Chen Suming, Yang Ping, Ren Shufeng, et al. Numerical simulation of induction heat treatment of 30CrMnSiNi2A steel shaft parts[J]. Heat Treatment of Metals, 2023, 48(4): 235-244.
[15]付晓斌. 基于高频感应加热的大模数齿轮轧制成形及微观组织研究[D]. 北京: 北京科技大学, 2018.
Fu Xiaobin. Research on the deformation and microstructure evolution of large-modulus gear using cross rolling with high frequency induction heating process[D]. Beijing: University of Science and Technology Beijing, 2018.
[16]Xing F, Zheng S G, Liu Z H, et al. Flow field, temperature field, and inclusion removal in a new induction heating tundish with bent channels[J]. Metals, 2019, 9(5): 561-576.
[17]孙建亮, 邱丑武, 毕雪峰, 等. 感应加热与传统加热模式大型筒节加热效果研究[J]. 机械工程学报, 2017, 53(10): 25-33.
Sun Jianliang, Qiu Chouwu, Bi Xuefeng, et al. Study on heating effect of heavy cylinder with induction heating and conventional heating[J]. Journal of Mechanical Engineering, 2017, 53(10): 25-33.