Hybrid modeling of induction hardening processes

A simple hybrid model, integrating observation (black-box) and physical knowledge (white-box), is employed to model an induction heating process. A neural network is used to estimate the unknown physical process parameter in the physical model. Most relevant to induction hardening is the temperature...

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Autores principales:	Mohammad Zhian Asadzadeh, Peter Raninger, Petri Prevedel, Werner Ecker, Manfred Mücke
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Neural networks Hybrid modeling Electromagnetic Induction heating Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/237c6dcc4e8b454f96ce9fb5144601e9
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id	oai:doaj.org-article:237c6dcc4e8b454f96ce9fb5144601e9
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spelling	oai:doaj.org-article:237c6dcc4e8b454f96ce9fb5144601e92021-12-01T05:05:50ZHybrid modeling of induction hardening processes2666-496810.1016/j.apples.2020.100030https://doaj.org/article/237c6dcc4e8b454f96ce9fb5144601e92021-03-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2666496820300303https://doaj.org/toc/2666-4968A simple hybrid model, integrating observation (black-box) and physical knowledge (white-box), is employed to model an induction heating process. A neural network is used to estimate the unknown physical process parameter in the physical model. Most relevant to induction hardening is the temperature evolution in a layer under the surface of a sample, in our case a cylindrical sample. We show that with a hybrid model, in which a simple ordinary differential equation describes the heating rate, the experimental data can be approximated better than using a black-box only. The hybrid model extrapolates better and it is easier to interpret. The hybrid model can be used as a prediction tool to operate and optimize induction heating processes.Mohammad Zhian AsadzadehPeter RaningerPetri PrevedelWerner EckerManfred MückeElsevierarticleNeural networksHybrid modelingElectromagneticInduction heatingEngineering (General). Civil engineering (General)TA1-2040ENApplications in Engineering Science, Vol 5, Iss , Pp 100030- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Neural networks Hybrid modeling Electromagnetic Induction heating Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Neural networks Hybrid modeling Electromagnetic Induction heating Engineering (General). Civil engineering (General) TA1-2040 Mohammad Zhian Asadzadeh Peter Raninger Petri Prevedel Werner Ecker Manfred Mücke Hybrid modeling of induction hardening processes
description	A simple hybrid model, integrating observation (black-box) and physical knowledge (white-box), is employed to model an induction heating process. A neural network is used to estimate the unknown physical process parameter in the physical model. Most relevant to induction hardening is the temperature evolution in a layer under the surface of a sample, in our case a cylindrical sample. We show that with a hybrid model, in which a simple ordinary differential equation describes the heating rate, the experimental data can be approximated better than using a black-box only. The hybrid model extrapolates better and it is easier to interpret. The hybrid model can be used as a prediction tool to operate and optimize induction heating processes.
format	article
author	Mohammad Zhian Asadzadeh Peter Raninger Petri Prevedel Werner Ecker Manfred Mücke
author_facet	Mohammad Zhian Asadzadeh Peter Raninger Petri Prevedel Werner Ecker Manfred Mücke
author_sort	Mohammad Zhian Asadzadeh
title	Hybrid modeling of induction hardening processes
title_short	Hybrid modeling of induction hardening processes
title_full	Hybrid modeling of induction hardening processes
title_fullStr	Hybrid modeling of induction hardening processes
title_full_unstemmed	Hybrid modeling of induction hardening processes
title_sort	hybrid modeling of induction hardening processes
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/237c6dcc4e8b454f96ce9fb5144601e9
work_keys_str_mv	AT mohammadzhianasadzadeh hybridmodelingofinductionhardeningprocesses AT peterraninger hybridmodelingofinductionhardeningprocesses AT petriprevedel hybridmodelingofinductionhardeningprocesses AT wernerecker hybridmodelingofinductionhardeningprocesses AT manfredmucke hybridmodelingofinductionhardeningprocesses
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Hybrid modeling of induction hardening processes

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