Prediction of Thermal Damage upon Ultrafast Laser Ablation of Metals

Ultrafast lasers micromachining results depend on both the processing parameters and the material properties. The obtained thermal effects are negligible if a good combination of processing parameters is chosen. However, optimizing the processing parameters leading to the required surface quality on...

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Autores principales: Liliana Cangueiro, José Antonio Ramos-de-Campos, David Bruneel
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Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/1a0b96d47a2b4b7e84f6e094ce71d3b6
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spelling oai:doaj.org-article:1a0b96d47a2b4b7e84f6e094ce71d3b62021-11-11T18:21:49ZPrediction of Thermal Damage upon Ultrafast Laser Ablation of Metals10.3390/molecules262163271420-3049https://doaj.org/article/1a0b96d47a2b4b7e84f6e094ce71d3b62021-10-01T00:00:00Zhttps://www.mdpi.com/1420-3049/26/21/6327https://doaj.org/toc/1420-3049Ultrafast lasers micromachining results depend on both the processing parameters and the material properties. The obtained thermal effects are negligible if a good combination of processing parameters is chosen. However, optimizing the processing parameters leading to the required surface quality on a given material can be quite complex and time consuming. We developed a semi-empirical model to estimate the heat accumulation on a surface as a function of the laser fluence, scanning speed and repetition rate. The simulation results were correlated with experimental ones on different materials, and compared with the transient temperature distributions calculated using an analytical solution to the heat transfer equation. The predictions of the proposed model allow evaluating the heat distribution on the surface, as well as optimizing the ultrafast laser micromachining strategy, yielding negligible thermal damage.Liliana CangueiroJosé Antonio Ramos-de-CamposDavid BruneelMDPI AGarticleultrafast laser processingheat accumulationfemtosecond laserOrganic chemistryQD241-441ENMolecules, Vol 26, Iss 6327, p 6327 (2021)
institution DOAJ
collection DOAJ
language EN
topic ultrafast laser processing
heat accumulation
femtosecond laser
Organic chemistry
QD241-441
spellingShingle ultrafast laser processing
heat accumulation
femtosecond laser
Organic chemistry
QD241-441
Liliana Cangueiro
José Antonio Ramos-de-Campos
David Bruneel
Prediction of Thermal Damage upon Ultrafast Laser Ablation of Metals
description Ultrafast lasers micromachining results depend on both the processing parameters and the material properties. The obtained thermal effects are negligible if a good combination of processing parameters is chosen. However, optimizing the processing parameters leading to the required surface quality on a given material can be quite complex and time consuming. We developed a semi-empirical model to estimate the heat accumulation on a surface as a function of the laser fluence, scanning speed and repetition rate. The simulation results were correlated with experimental ones on different materials, and compared with the transient temperature distributions calculated using an analytical solution to the heat transfer equation. The predictions of the proposed model allow evaluating the heat distribution on the surface, as well as optimizing the ultrafast laser micromachining strategy, yielding negligible thermal damage.
format article
author Liliana Cangueiro
José Antonio Ramos-de-Campos
David Bruneel
author_facet Liliana Cangueiro
José Antonio Ramos-de-Campos
David Bruneel
author_sort Liliana Cangueiro
title Prediction of Thermal Damage upon Ultrafast Laser Ablation of Metals
title_short Prediction of Thermal Damage upon Ultrafast Laser Ablation of Metals
title_full Prediction of Thermal Damage upon Ultrafast Laser Ablation of Metals
title_fullStr Prediction of Thermal Damage upon Ultrafast Laser Ablation of Metals
title_full_unstemmed Prediction of Thermal Damage upon Ultrafast Laser Ablation of Metals
title_sort prediction of thermal damage upon ultrafast laser ablation of metals
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/1a0b96d47a2b4b7e84f6e094ce71d3b6
work_keys_str_mv AT lilianacangueiro predictionofthermaldamageuponultrafastlaserablationofmetals
AT joseantonioramosdecampos predictionofthermaldamageuponultrafastlaserablationofmetals
AT davidbruneel predictionofthermaldamageuponultrafastlaserablationofmetals
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