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dc.date.accessioned 2020-06-24T13:08:43Z
dc.date.available 2020-06-24T13:08:43Z
dc.date.issued 2017
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/98954
dc.description.abstract This article studies the feasibility of a 1D radiative transfer model to compute the thermal source for a remote heating problem associated to the physics of the so-called plasmonic resonance (PR) in a synthetic polymeric material. The PR is responsible for converting the optical radiation from the incident laser beam into an equivalent thermal source and is achieved by embedding gold nanoparticles during the design of the synthetic polymer. Since the Radiative Transfer Equation cannot be analytically solved for a real experimental case, a two-staged simplified process is considered which requires the uncertainty quantification as a prior stage, in order to make an appropriate control of the resulting temperature profile. In this work, we include propagation errors for lattices of 1D, 2D and 3D geometries, due to the approximate laser source profile used, as well as those arisen from uncertainties in the thermal parameters and the ones derived from the variables involved in the design of the polymer. Computational simulations for a suitable experimental polymer are carried out using COMSOL®. Corresponding results show the scope of the reduced model in terms of a range of parameter values where it can be effectively used in practice. en
dc.format.extent 1243-1243 es
dc.language en es
dc.subject Plasmonic resonance es
dc.subject Uncertainties es
dc.subject Reduced models es
dc.title Uncertainty quantification to assess a reduced model for the remote heating of a polymer en
dc.type Objeto de conferencia es
sedici.identifier.uri https://cimec.org.ar/ojs/index.php/mc/article/view/5341 es
sedici.identifier.issn 2591-3522 es
sedici.creator.person Otero, Fernando A. es
sedici.creator.person Frontini, Gloria L. es
sedici.creator.person Eliçabe, Guillermo E. es
sedici.description.note Publicado en: Mecánica Computacional vol. XXXV, no. 21 es
sedici.subject.materias Ingeniería es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Ingeniería es
sedici.subtype Resumen es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2017-11
sedici.relation.event XXIII Congreso de Métodos Numéricos y sus Aplicaciones (ENIEF) (La Plata, noviembre 2017) es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)