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A numerical modeling example in multiphysics coupling: analysis and optimization of induction heating processes

机译:多物理场耦合中的数值建模示例:感应加热过程的分析和优化

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Induction heating processes are typical of problems involving multiphysics coupling (electromagnetic, thermal and mechanical). Efficient optimization of these processes now has to rely on a numerical approach. We first provide here an overview of the mathematical model and the numerical methods which have been developed, and specifically the ultra-weak coupling procedure; experimental results enable validation of the numerical tool developed in our laboratory. A parallel version has been developed in order to reduce computational time costs. An inverse analysis procedure enables accurate identification of material physical parameters necessary in order to run numerical simulation of the process. The optimization problem has been formulated as the minimization of an objective function which depends on temperature evolution through the control of some electromagnetic input parameters. Specific attention has been paid to the transposition of the direct ultraweak coupling strategy to the adjoint problem resolution. Examples of optimization tests applied on induction heating processes show the applicability and robustness of developed algorithms.
机译:感应加热过程是涉及多物理场耦合(电磁,热和机械)的典型问题。这些过程的有效优化现在必须依靠数值方法。我们首先在这里概述已开发的数学模型和数值方法,特别是超弱耦合过程。实验结果可以验证我们实验室开发的数值工具。为了减少计算时间成本,已经开发了并行版本。逆分析程序可以准确识别必要的材料物理参数,以便进行过程的数值模拟。优化问题已被表述为目标函数的最小化,该目标函数取决于通过控制某些电磁输入参数而产生的温度。已将直接超弱耦合策略转换为伴随问题的解决方案已得到特别关注。应用于感应加热过程的优化测试示例显示了已开发算法的适用性和鲁棒性。

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