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Advances in Mechanical Engineering
Volume 2013 (2013), Article ID 907295, 9 pages
Research Article

Numerical Simulation of the Moving Induction Heating Process with Magnetic Flux Concentrator

1Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China
2Beijing Key Lab of Precision/Ultra-Precision Manufacturing Equipments and Control, Beijing 100084, China
3Department of Mechanical Engineering, Worcester Polytechnic Institute, Worcester, MA 01609, USA

Received 31 May 2013; Revised 18 August 2013; Accepted 3 September 2013

Academic Editor: Lei Zhang

Copyright © 2013 Feng Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The induction heating with ferromagnetic metal powder bonded magnetic flux concentrator (MPB-MFC) demonstrates more advantages in surface heating treatments of metal. However, the moving heating application is mostly applied in the industrial production. Therefore, the analytical understanding of the mechanism, efficiency, and controllability of the moving induction heating process becomes necessary for process design and optimization. This paper studies the mechanism of the moving induction heating with magnetic flux concentrator. The MPB-MFC assisted moving induction heating for Inconel 718 alloy is studied by establishing the finite element simulation model. The temperature field distribution is analyzed, and the factors influencing the temperature are studied. The conclusion demonstrates that the velocity of the workpiece should be controlled properly and the heat transfer coefficient (HTC) has little impact on the temperature development, compared with other input parameters. In addition, the validity of the static numerical model is verified by comparing the finite element simulation with experimental results on AISI 1045 steel. The numerical model established in this work can provide comprehensive understanding for the process control in production.