scholarly journals A semi-analytical coupled simulation approach for induction heating

Author(s):  
Maialen Areitioaurtena ◽  
Unai Segurajauregi ◽  
Ville Akujärvi ◽  
Martin Fisk ◽  
Iker Urresti ◽  
...  

AbstractThe numerical simulation of the induction heating process can be computationally expensive, especially if ferromagnetic materials are studied. There are several analytical models that describe the electromagnetic phenomena. However, these are very limited by the geometry of the coil and the workpiece. Thus, the usual method for computing more complex systems is to use the finite element method to solve the set of equations in the multiphysical system, but this easily becomes very time consuming. This paper deals with the problem of solving a coupled electromagnetic - thermal problem with higher computational efficiency. For this purpose, a semi-analytical modeling strategy is proposed, that is based on an initial finite element computation, followed by the use of analytical electromagnetic equations to solve the coupled electromagnetic-thermal problem. The usage of the simplified model is restricted to simple geometrical features such as flat or curved surfaces with great curvature to skin depth ratio. Numerical and experimental validation of the model show an average error between 0.9% and 4.1% in the prediction of the temperature evolution, reaching a greater accuracy than other analyzed commercial softwares. A 3D case of a double-row large size ball bearing is also presented, fully validating the proposed approach in terms of computational time and accuracy for complex industrial cases.

2008 ◽  
Vol 575-578 ◽  
pp. 282-287 ◽  
Author(s):  
R.B. Mei ◽  
Chang Sheng Li ◽  
B. Han ◽  
Xiang Hua Liu

The induction heating process of slab steel had been discussed by finite element method. The results obtained were in good agreement to the measured value. In addition, the low-frequency induction heating process of slab steel was investigated and analyzed in detail according to the practice requirements of a steel mill. During the heating process of slab steel by low-frequency induction, the temperature increasing speed of surface is faster than that of center in initial time. With the increment of heating time, the temperature increasing speed of surface becomes lower because of the heat loss of boundary. A 90 percent of the slab steel temperature had risen from 1100°C to 1400°C with 110Hz and 6.2×106A/m2 after 30min, which could be satisfied with heating requirements.


CrystEngComm ◽  
2018 ◽  
Vol 20 (48) ◽  
pp. 7857-7865 ◽  
Author(s):  
Hamed Heidari ◽  
Mohammad Hossein Tavakoli ◽  
Sayed Omid Sobhani ◽  
Mohtaram Honarmandnia

In this paper, a magnetic flux concentrator (MFC) is reported, and its geometry effect on the induction heating process has been calculated in a Czochralski crystal growth system using the 2D finite element method.


2019 ◽  
Vol 116 (4) ◽  
pp. 403
Author(s):  
Chao Yu ◽  
Hong Xiao ◽  
Zi-chen Qi ◽  
Yun-peng Zhao

To reduce the energy consumption of reheating billets between the continuous casting and hot rolling processes, the continuous casting-direct rolling (CC-DR) process is developed, of which one of the key technologies in CC-DR is compensative heating between the processes. Considering the compensative heating technology requirements in the actual production of slab CC-DR, the finite element models of longitudinal flux induction heating (LFIH) and transverse flux induction heating (TFIH) are established to analyse the slab heating process. The results show that LFIH is good for heating surfaces of the slab, but cannot solve the problem of low temperature on the edges, which can effectively be heated with TFIH. The temperature distribution of the slab can be made more uniform by choosing the appropriate current and moving speed. Besides, induction-heating prototypes are developed to inspect the effect of induction heating. The measured results are consistent with the simulated ones. The results of the analysis have direct significance on the induction heating process in the actual production of slab CC-DRs.


2021 ◽  
Author(s):  
Khouloud Derouiche ◽  
Francisco Chinesta ◽  
Monzer Daoud ◽  
Khalil Traidi

Finite element modeling (FEM) has recently become the most attractive computational tool to predict and optimize many industrial problems. However, the FEM becomes ineffective as far as complex multi-physics parameterized problems, such as induction heating process, are concerned because of high computational cost. This work aims at studying the possibility of applying a new approach based on the reduced order modeling (ROM) to obtain approximate solutions of a parametric problem. Basically, the effect of induction heating process parameters on some physical quantities of interest (QoI) will be analyzed under the real-time constraint. To achieve this dimensionality reduction, a set of precomputed solutions is first collected, at some sparse points in the space domain and for a properly selected process parameters, by solving the full-order models implemented in the commercial finite element software FORGE®. A Proper Orthogonal Decomposition (POD) based reducedorder model is then applied to the collected data to find a low dimensional space onto which the solution manifold could be projected and an approximated solution for new process parameters could be efficiently computed in real time. Besides, the POD is applied to build a reduced basis and to compute their corresponding modal coefficients. It is then followed by artificial intelligence techniques for regression purpose, such as sparse Proper Generalized Decomposition, to fit the low dimensional POD modal coefficients. Hence, the problem can be solved with a much lower dimension compared to the initial one. It was shown that a good approximation of the QoI was provided, in low-data limit, using a single POD modal coefficient as a response for the regression methods. However, the obtained approximation accuracy needs to be enhanced.


2019 ◽  
Vol 9 (7) ◽  
pp. 1445 ◽  
Author(s):  
Feng Li ◽  
Jinqiang Ning ◽  
Steven Liang

The planar induction heating possesses more difficulties in industry application compared with traditional spiral induction coils in mostly heat treatment processes. Numerical approaches are adopted in the power distribution and temperature prediction during the induction heating process, which has a relatively low computational efficiency. In this work, an analytical calculation model of the planar induction heating with magnetic flux concentrator is investigated based on the uniform moving heating source. In this model, the power density in the surface of the workpiece induced by coils is calculated and applied into the analytical model of the temperature calculation using a uniform moving heat source. Planar induction heating tests are conducted under various induction coil parameters and the corresponding temperature evolution is obtained by the infrared imaging device NEC R300W2-NNU and the thermocouples. The final surface temperature prediction is compared to the finite element simulation results and experimental data. The analytical results show a good match with the finite element simulation and the experimental results, and the errors are in reasonable range and acceptable. The analytical model can compute the temperature distribution directly and the computational time is much less than the finite element method. Therefore, the temperature prediction method in this work has the advantage of less experimental and computational complexity, which can extend the analytical modeling methodology in induction heating to a broader application.


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