In the paper an induction heating problem is considered. The Finite Element analysis is used to evaluate the temperature along a line on a graphite disk heated by a power inductor. Subsequently, a fully-connected Neural Network (NN) is trained with the aim of implementing a surrogate model able to compute the temperature profile on the disk, given the amplitude and frequency of the supply current.
A Neural-Network Model for Helping the Synthesis of a Dual-Frequency Induction Heating Device
Sieni E.
2024-01-01
Abstract
In the paper an induction heating problem is considered. The Finite Element analysis is used to evaluate the temperature along a line on a graphite disk heated by a power inductor. Subsequently, a fully-connected Neural Network (NN) is trained with the aim of implementing a surrogate model able to compute the temperature profile on the disk, given the amplitude and frequency of the supply current.
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