Journal of Shanghai Jiao Tong University ›› 2023, Vol. 57 ›› Issue (2): 241-252.doi: 10.16183/j.cnki.jsjtu.2021.360

Special Issue: 《上海交通大学学报》2023年“材料科学与工程”专题

• Materials Science and Engineering • Previous Articles    

Numerical Simulation and Experimental Study of Local Induction Heating of High Strength Steel Square Tube

WANG Yu1, LIU Jing1, MA Xiaoyan2, HAN Jingtao1,2()   

  1. 1. School of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China
    2. Sino Institute of Roll Forming Industry (Caofeidian) Co., Ltd., Tangshan 063200, Hebei, China
  • Received:2021-09-10 Revised:2021-11-09 Accepted:2021-11-18 Online:2023-02-28 Published:2023-03-01
  • Contact: HAN Jingtao E-mail:hanjt@ustb.edu.cn.

Abstract:

In order to solve the forming problems such as difficult deformation and easy cracking of high strength steel square tubes, the local induction heating technology has been introduced based on the traditional cold forming process. An electromagnetic-temperature multi-field coupling model for local induction heating is established by using ANSYS parametric design language based on the magnetic vector potential and physical environment method. A numerical simulation is conducted at different heating process parameters, and the optimized parameters are used for experimental research. The simulation results show that the induction heating efficiency can be significantly improved by using magnetizers to increase the magnetic field intensity. As the heating frequency increase, the heating speed of the outer fillet area and the temperature difference between the outer and inner fillet area increase. As the heating power increases, the high temperature area and the peak temperature increase, but the outer fillet area is more prone to be overheated. The experimental results show that a high strength steel square tube with an extremely small fillet radius, increased corner thickness, but with no crack defect can be obtained by using the optimized heating process parameters. The average error between the simulated and measured heating temperature is about 7.57%, indicating that the finite element model has a good prediction accuracy.

Key words: hot forming of high strength steel, local induction heating, magnetic vector potential, multi-physical field coupling

CLC Number: