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Numerical optimisation for induction heat treatment processes

机译：感应热处理工艺的数值优化

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This paper aims at introducing new approaches for designing and optimising induction heat treatment processes. Although the final objectives of induction heating processes may deal with some specific mechanical or metallurgical properties for manufactured parts, we shall primarily focus here on achieving an accurate control of temperature distribution and evolution in the Heat Affected Zone (HAZ). This objective can be formalised as a classical optimisation problem: we seek to minimise a cost function which measures the difference between computed and goal temperatures - along with some constraints on process parameters. We deal here with both zero-order algorithms - using a method based on Efficient Global Optimization algorithm which is an optimisation procedure assisted by a meta model - as well as first-order algorithms. These algorithms have been coupled with 2-D and 3-D finite element models developed in our laboratory; this model is based on a coupling procedure between Maxwell equations and heat transfer models, and has been extended to mechanical and metallurgical computations.
机译：本文旨在介绍用于设计和优化感应热处理工艺的新方法。尽管感应加热过程的最终目标可能涉及制造零件的某些特定机械或冶金性能，但在此我们主要集中在对热影响区（HAZ）的温度分布和演变进行精确控制。可以将此目标形式化为经典的优化问题：我们力求最小化可测量计算温度与目标温度之间的差异的成本函数，以及对过程参数的一些约束。我们在这里处理零阶算法和一阶算法，零阶算法使用的是基于高效全局优化算法的方法，该算法是由元模型辅助的优化过程。这些算法已与我们实验室开发的2D和3D有限元模型结合在一起；该模型基于麦克斯韦方程和传热模型之间的耦合程序，并且已扩展到机械和冶金计算。

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