A reduced order model to assist welding parameter setup

This article demonstrates the time saving in industrial process setup using numerical reduced order modelling (ROM). The numerical simulations may supply useful information to design manufacturing processes but are often time consuming and then not suited with multi-query study such as inverse probl...

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Main Authors: Le Guennec Yves, Morville Simon
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:Mechanics & Industry
Subjects:
Online Access:https://www.mechanics-industry.org/articles/meca/full_html/2024/01/mi230016/mi230016.html
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author Le Guennec Yves
Morville Simon
author_facet Le Guennec Yves
Morville Simon
author_sort Le Guennec Yves
collection DOAJ
description This article demonstrates the time saving in industrial process setup using numerical reduced order modelling (ROM). The numerical simulations may supply useful information to design manufacturing processes but are often time consuming and then not suited with multi-query study such as inverse problem. ROM aims at replacing the original simulation (so-called high-fidelity (HF)) by a low rank model that will run fast according to the HF simulation time. Multi-query studies will use the ROM instead of the HF simulation to save time and deliver a solution consistent with industrial timeline. To validate the solution, the HF simulation will be used. In this paper, a problem of calibration of TIG welding parameter will illustrate this approach.
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spelling doaj.art-d5bb93eb295b41e3853e5c011e3860162024-02-02T08:32:50ZengEDP SciencesMechanics & Industry2257-77772257-77502024-01-0125310.1051/meca/2023045mi230016A reduced order model to assist welding parameter setupLe Guennec Yves0https://orcid.org/0000-0003-2652-8383Morville Simon1https://orcid.org/0009-0006-1970-7059Nantes Université, IRT Jules VerneNantes Université, IRT Jules VerneThis article demonstrates the time saving in industrial process setup using numerical reduced order modelling (ROM). The numerical simulations may supply useful information to design manufacturing processes but are often time consuming and then not suited with multi-query study such as inverse problem. ROM aims at replacing the original simulation (so-called high-fidelity (HF)) by a low rank model that will run fast according to the HF simulation time. Multi-query studies will use the ROM instead of the HF simulation to save time and deliver a solution consistent with industrial timeline. To validate the solution, the HF simulation will be used. In this paper, a problem of calibration of TIG welding parameter will illustrate this approach.https://www.mechanics-industry.org/articles/meca/full_html/2024/01/mi230016/mi230016.htmlreduced order modellingoptimizationmulti-physics simulationwelding waammodelling
spellingShingle Le Guennec Yves
Morville Simon
A reduced order model to assist welding parameter setup
Mechanics & Industry
reduced order modelling
optimization
multi-physics simulation
welding
waam
modelling
title A reduced order model to assist welding parameter setup
title_full A reduced order model to assist welding parameter setup
title_fullStr A reduced order model to assist welding parameter setup
title_full_unstemmed A reduced order model to assist welding parameter setup
title_short A reduced order model to assist welding parameter setup
title_sort reduced order model to assist welding parameter setup
topic reduced order modelling
optimization
multi-physics simulation
welding
waam
modelling
url https://www.mechanics-industry.org/articles/meca/full_html/2024/01/mi230016/mi230016.html
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