Data-Driven Modeling for Multiphysics Parametrized Problems-Application to Induction Hardening Process

Data-Driven Modeling for Multiphysics Parametrized Problems-Application to Induction Hardening Process

Data-driven modeling provides an efficient approach to compute approximate solutions for complex multiphysics parametrized problems such as induction hardening (IH) process. Basically, some physical quantities of interest (QoI) related to the IH process will be evaluated under real-time constraint,...

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Bibliographic Details
Main Authors: Khouloud Derouiche, Sevan Garois, Victor Champaney, Monzer Daoud, Khalil Traidi, Francisco Chinesta
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Metals
Subjects:
data-driven modeling
induction hardening
metamodel
proper orthogonal decomposition
artificial intelligence
hybrid model
Online Access:https://www.mdpi.com/2075-4701/11/5/738

Internet

https://www.mdpi.com/2075-4701/11/5/738

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