Cargando…
Prediction of Behaviour of Thin-Walled DED-Processed Structure: Experimental-Numerical Approach
Additive manufacturing (AM) becomes a more and more standard process in different fields of industry. There is still only limited knowledge of the relationship between measured material data and the overall behaviour of directed energy deposition (DED)-processed complex structures. The understanding...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8837159/ https://www.ncbi.nlm.nih.gov/pubmed/35160750 http://dx.doi.org/10.3390/ma15030806 |
_version_ | 1784649855762694144 |
---|---|
author | Urbánek, Miroslav Hodek, Josef Melzer, Daniel Koukolíková, Martina Prantl, Antonín Vavřík, Jaroslav Brázda, Michal Martínek, Petr Rzepa, Sylwia Džugan, Jan |
author_facet | Urbánek, Miroslav Hodek, Josef Melzer, Daniel Koukolíková, Martina Prantl, Antonín Vavřík, Jaroslav Brázda, Michal Martínek, Petr Rzepa, Sylwia Džugan, Jan |
author_sort | Urbánek, Miroslav |
collection | PubMed |
description | Additive manufacturing (AM) becomes a more and more standard process in different fields of industry. There is still only limited knowledge of the relationship between measured material data and the overall behaviour of directed energy deposition (DED)-processed complex structures. The understanding of the structural performance, including flow curves and local damage properties of additively manufactured parts by DED, becomes increasingly important. DED can be used for creating functional surfaces, component repairing using multiple powder feeders, and creating a heterogeneous structure with defined chemical composition. For thin parts that are used with the as-deposited surface, this evaluation is even highly crucial. The main goal of the study was to predict the behaviour of thin-walled structures manufactured by the DED process under static loading by finite element analysis (FEA). Moreover, in this study, the mechanical performance of partly machined and fully machined miniaturized samples produced from the structure was compared. The structure studied in this research resembles a honeycomb shape made of austenitic stainless steel AISI 316L, which is characterized by high strength and ductility. The uncoupled damage models based on a hybrid experimental-numerical approach were used. The microstructure and hardness were examined to comprehend the structural behaviour. |
format | Online Article Text |
id | pubmed-8837159 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88371592022-02-12 Prediction of Behaviour of Thin-Walled DED-Processed Structure: Experimental-Numerical Approach Urbánek, Miroslav Hodek, Josef Melzer, Daniel Koukolíková, Martina Prantl, Antonín Vavřík, Jaroslav Brázda, Michal Martínek, Petr Rzepa, Sylwia Džugan, Jan Materials (Basel) Article Additive manufacturing (AM) becomes a more and more standard process in different fields of industry. There is still only limited knowledge of the relationship between measured material data and the overall behaviour of directed energy deposition (DED)-processed complex structures. The understanding of the structural performance, including flow curves and local damage properties of additively manufactured parts by DED, becomes increasingly important. DED can be used for creating functional surfaces, component repairing using multiple powder feeders, and creating a heterogeneous structure with defined chemical composition. For thin parts that are used with the as-deposited surface, this evaluation is even highly crucial. The main goal of the study was to predict the behaviour of thin-walled structures manufactured by the DED process under static loading by finite element analysis (FEA). Moreover, in this study, the mechanical performance of partly machined and fully machined miniaturized samples produced from the structure was compared. The structure studied in this research resembles a honeycomb shape made of austenitic stainless steel AISI 316L, which is characterized by high strength and ductility. The uncoupled damage models based on a hybrid experimental-numerical approach were used. The microstructure and hardness were examined to comprehend the structural behaviour. MDPI 2022-01-21 /pmc/articles/PMC8837159/ /pubmed/35160750 http://dx.doi.org/10.3390/ma15030806 Text en © 2022 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 Urbánek, Miroslav Hodek, Josef Melzer, Daniel Koukolíková, Martina Prantl, Antonín Vavřík, Jaroslav Brázda, Michal Martínek, Petr Rzepa, Sylwia Džugan, Jan Prediction of Behaviour of Thin-Walled DED-Processed Structure: Experimental-Numerical Approach |
title | Prediction of Behaviour of Thin-Walled DED-Processed Structure: Experimental-Numerical Approach |
title_full | Prediction of Behaviour of Thin-Walled DED-Processed Structure: Experimental-Numerical Approach |
title_fullStr | Prediction of Behaviour of Thin-Walled DED-Processed Structure: Experimental-Numerical Approach |
title_full_unstemmed | Prediction of Behaviour of Thin-Walled DED-Processed Structure: Experimental-Numerical Approach |
title_short | Prediction of Behaviour of Thin-Walled DED-Processed Structure: Experimental-Numerical Approach |
title_sort | prediction of behaviour of thin-walled ded-processed structure: experimental-numerical approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8837159/ https://www.ncbi.nlm.nih.gov/pubmed/35160750 http://dx.doi.org/10.3390/ma15030806 |
work_keys_str_mv | AT urbanekmiroslav predictionofbehaviourofthinwalleddedprocessedstructureexperimentalnumericalapproach AT hodekjosef predictionofbehaviourofthinwalleddedprocessedstructureexperimentalnumericalapproach AT melzerdaniel predictionofbehaviourofthinwalleddedprocessedstructureexperimentalnumericalapproach AT koukolikovamartina predictionofbehaviourofthinwalleddedprocessedstructureexperimentalnumericalapproach AT prantlantonin predictionofbehaviourofthinwalleddedprocessedstructureexperimentalnumericalapproach AT vavrikjaroslav predictionofbehaviourofthinwalleddedprocessedstructureexperimentalnumericalapproach AT brazdamichal predictionofbehaviourofthinwalleddedprocessedstructureexperimentalnumericalapproach AT martinekpetr predictionofbehaviourofthinwalleddedprocessedstructureexperimentalnumericalapproach AT rzepasylwia predictionofbehaviourofthinwalleddedprocessedstructureexperimentalnumericalapproach AT dzuganjan predictionofbehaviourofthinwalleddedprocessedstructureexperimentalnumericalapproach |