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A Geometry-Based Welding Distortion Prediction Tool

The prediction of welding distortion requires expertise in computer simulation programs, a clear definition of the nonlinear material properties, and mesh settings together with the nonlinear solution settings of a coupled thermal–structural analysis. The purpose of this paper is to present the vali...

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Detalles Bibliográficos
Autores principales: Granell, Ignacio, Ramos, Abel, Carnicero, Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8432552/
https://www.ncbi.nlm.nih.gov/pubmed/34500881
http://dx.doi.org/10.3390/ma14174789
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author Granell, Ignacio
Ramos, Abel
Carnicero, Alberto
author_facet Granell, Ignacio
Ramos, Abel
Carnicero, Alberto
author_sort Granell, Ignacio
collection PubMed
description The prediction of welding distortion requires expertise in computer simulation programs, a clear definition of the nonlinear material properties, and mesh settings together with the nonlinear solution settings of a coupled thermal–structural analysis. The purpose of this paper is to present the validation of an automatic simulation tool implemented in Ansys using Python scripting. This tool allows users to automate the preparation of the simulation model with a reduced number of inputs. The goal was, based on some assumptions, to provide an automated simulation setup that enables users to predict accurate distortion during the welding manufacturing process. Any geometry prepared in a CAD software can be used as the input, which gave us much geometrical flexibility in the shapes and sizes to be modeled. A thermomechanical loosely coupled analysis approach together with element birth and death technology was used to predict the distortions. The automation of the setup enables both simulation and manufacturing engineers to perform welding-induced distortion prediction. The results showed that the method proposed predicts distortion with 80–98% accuracy.
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spelling pubmed-84325522021-09-11 A Geometry-Based Welding Distortion Prediction Tool Granell, Ignacio Ramos, Abel Carnicero, Alberto Materials (Basel) Article The prediction of welding distortion requires expertise in computer simulation programs, a clear definition of the nonlinear material properties, and mesh settings together with the nonlinear solution settings of a coupled thermal–structural analysis. The purpose of this paper is to present the validation of an automatic simulation tool implemented in Ansys using Python scripting. This tool allows users to automate the preparation of the simulation model with a reduced number of inputs. The goal was, based on some assumptions, to provide an automated simulation setup that enables users to predict accurate distortion during the welding manufacturing process. Any geometry prepared in a CAD software can be used as the input, which gave us much geometrical flexibility in the shapes and sizes to be modeled. A thermomechanical loosely coupled analysis approach together with element birth and death technology was used to predict the distortions. The automation of the setup enables both simulation and manufacturing engineers to perform welding-induced distortion prediction. The results showed that the method proposed predicts distortion with 80–98% accuracy. MDPI 2021-08-24 /pmc/articles/PMC8432552/ /pubmed/34500881 http://dx.doi.org/10.3390/ma14174789 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Granell, Ignacio
Ramos, Abel
Carnicero, Alberto
A Geometry-Based Welding Distortion Prediction Tool
title A Geometry-Based Welding Distortion Prediction Tool
title_full A Geometry-Based Welding Distortion Prediction Tool
title_fullStr A Geometry-Based Welding Distortion Prediction Tool
title_full_unstemmed A Geometry-Based Welding Distortion Prediction Tool
title_short A Geometry-Based Welding Distortion Prediction Tool
title_sort geometry-based welding distortion prediction tool
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8432552/
https://www.ncbi.nlm.nih.gov/pubmed/34500881
http://dx.doi.org/10.3390/ma14174789
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