A parallel multi-fidelity optimization approach in induction hardening

verfasst von: Marco Baldan, Alexandre Nikanorov, Bernard Nacke
Abstract: Purpose: Reliable modeling of induction hardening requires a multi-physical approach, which makes it time-consuming. In designing an induction hardening system, combining such model with an optimization technique allows managing a high number of design variables. However, this could lead to a tremendous overall computational cost. This paper aims to reduce the computational time of an optimal design problem by making use of multi-fidelity modeling and parallel computing. Design/methodology/approach: In the multi-fidelity framework, the “high-fidelity” model couples the electromagnetic, thermal and metallurgical fields. It predicts the phase transformations during both the heating and cooling stages. The “low-fidelity” model is instead limited to the heating step. Its inaccuracy is counterbalanced by its cheapness, which makes it suitable for exploring the design space in optimization. Then, the use of co-Kriging allows merging information from different fidelity models and predicting good design candidates. Field evaluations of both models occur in parallel. Findings: In the design of an induction heating system, the synergy between the “high-fidelity” and “low-fidelity” model, together with use of surrogates and parallel computing could reduce up to one order of magnitude the overall computational cost. Practical implications: On one hand, multi-physical modeling of induction hardening implies a better understanding of the process, resulting in further potential process improvements. On the other hand, the optimization technique could be applied to many other computationally intensive real-life problems. Originality/value: This paper highlights how parallel multi-fidelity optimization could be used in designing an induction hardening system.
Organisationseinheit(en): Institut für Elektroprozesstechnik
Typ: Artikel
Journal: COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering
Band: 39
Seiten: 133-143
Anzahl der Seiten: 11
ISSN: 0332-1649
Publikationsdatum: 29.11.2019
Publikationsstatus: Veröffentlicht
Peer-reviewed: Ja
ASJC Scopus Sachgebiete: Angewandte Informatik, Theoretische Informatik und Mathematik, Elektrotechnik und Elektronik, Angewandte Mathematik
Elektronische Version(en): https://doi.org/10.1108/COMPEL-05-2019-0221 (Zugang: Geschlossen)

BibTeX

@article{ec509471ad7447f396d20c7971890512,
title = "A parallel multi-fidelity optimization approach in induction hardening",
abstract = "Purpose: Reliable modeling of induction hardening requires a multi-physical approach, which makes it time-consuming. In designing an induction hardening system, combining such model with an optimization technique allows managing a high number of design variables. However, this could lead to a tremendous overall computational cost. This paper aims to reduce the computational time of an optimal design problem by making use of multi-fidelity modeling and parallel computing. Design/methodology/approach: In the multi-fidelity framework, the “high-fidelity” model couples the electromagnetic, thermal and metallurgical fields. It predicts the phase transformations during both the heating and cooling stages. The “low-fidelity” model is instead limited to the heating step. Its inaccuracy is counterbalanced by its cheapness, which makes it suitable for exploring the design space in optimization. Then, the use of co-Kriging allows merging information from different fidelity models and predicting good design candidates. Field evaluations of both models occur in parallel. Findings: In the design of an induction heating system, the synergy between the “high-fidelity” and “low-fidelity” model, together with use of surrogates and parallel computing could reduce up to one order of magnitude the overall computational cost. Practical implications: On one hand, multi-physical modeling of induction hardening implies a better understanding of the process, resulting in further potential process improvements. On the other hand, the optimization technique could be applied to many other computationally intensive real-life problems. Originality/value: This paper highlights how parallel multi-fidelity optimization could be used in designing an induction hardening system.",
keywords = "Finite element analysis, Induction heating, Multiphysics, Optimal design, Surrogate optimization",
author = "Marco Baldan and Alexandre Nikanorov and Bernard Nacke",
year = "2019",
month = nov,
day = "29",
doi = "10.1108/COMPEL-05-2019-0221",
language = "English",
volume = "39",
pages = "133--143",
journal = "COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering",
issn = "0332-1649",
publisher = "Emerald Group Publishing Ltd.",
number = "1",
}