感应加热半解析耦合模拟方法

Maialen Areitioaurtena, Unai Segurajauregi, Ville Akujärvi, Martin Fisk, Iker Urresti, Eneko Ukar
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引用次数: 10

摘要

感应加热过程的数值模拟在计算上是非常昂贵的,特别是在研究铁磁性材料时。有几种描述电磁现象的分析模型。然而,这些是非常有限的几何线圈和工件。因此,计算更复杂系统的通常方法是使用有限元方法来求解多物理系统中的方程组,但这很容易变得非常耗时。本文研究了计算效率较高的电磁-热耦合问题的求解问题。为此,提出了一种半解析建模策略,即基于初始有限元计算,然后使用解析电磁方程来求解耦合的电磁-热问题。简化模型的使用仅限于曲率与蒙皮深度比大的平面或曲面等简单几何特征。数值和实验验证表明,该模型预测温度演变的平均误差在0.9% ~ 4.1%之间,比其他分析的商业软件具有更高的精度。最后给出了双列大尺寸滚珠轴承的三维算例,充分验证了该方法在计算时间和精度方面对复杂工业实例的适用性。
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A semi-analytical coupled simulation approach for induction heating
The 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.
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来源期刊
Advanced Modeling and Simulation in Engineering Sciences
Advanced Modeling and Simulation in Engineering Sciences Engineering-Engineering (miscellaneous)
CiteScore
6.80
自引率
0.00%
发文量
22
审稿时长
30 weeks
期刊介绍: The research topics addressed by Advanced Modeling and Simulation in Engineering Sciences (AMSES) cover the vast domain of the advanced modeling and simulation of materials, processes and structures governed by the laws of mechanics. The emphasis is on advanced and innovative modeling approaches and numerical strategies. The main objective is to describe the actual physics of large mechanical systems with complicated geometries as accurately as possible using complex, highly nonlinear and coupled multiphysics and multiscale models, and then to carry out simulations with these complex models as rapidly as possible. In other words, this research revolves around efficient numerical modeling along with model verification and validation. Therefore, the corresponding papers deal with advanced modeling and simulation, efficient optimization, inverse analysis, data-driven computation and simulation-based control. These challenging issues require multidisciplinary efforts – particularly in modeling, numerical analysis and computer science – which are treated in this journal.
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