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

Dughiero, Fabrizio
Membro del Collaboration Group
;
Forzan, Michele
Membro del Collaboration Group
;
2024

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.
2024
2024 IEEE 21st Biennial Conference on Electromagnetic Field Computation (CEFC)
IEEE 21st Biennial Conference on Electromagnetic Field Computation (CEFC)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3543580
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