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Numerical analysis of computational models for induction heat treatment of complex geometrical parts

机译:复杂几何零件感应热处理计算模型的数值分析

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Large scale industrial induction heating models require economical and robust computational methods. There is an increasing demand for efficient models for use in optimisation procedures, where a large number of parameter combinations must be solved. The goal of this work is to demonstrate that the multiphysics model of induction heating can efficiently be described by a weak coupling of the eddy current model with heat transfer and material evolution to derive a numerical model that is both robust and scalable. The solution of the electromagnetic problem is accelerated by using an auxiliary multigrid method. It will be demonstrated that the numerical convergence is mostly unaffected by discontinuities of the magnetic permeability, which can, for instance, be found at material boundary interfaces. A crankshaft will be used as an example for the broad class of problems that can be described by this induction heating model.
机译:大规模工业感应加热模型需要经济且可靠的计算方法。对于在优化程序中使用的有效模型的需求不断增长,其中必须解决大量参数组合。这项工作的目的是证明感应加热的多物理场模型可以通过涡流模型与传热和材料演化的弱耦合来有效描述,从而得出既健壮又可扩展的数值模型。电磁问题的解决通过使用辅助多重网格方法来加速。将证明,数值收敛主要不受磁导率不连续性的影响,例如,可以在材料边界界面处发现。曲轴将用作该感应加热模型可以描述的广泛问题的示例。

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