Uncertainty quantification to assess a reduced model for the remote heating of a polymer
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...
Guardado en:
| Autores principales: | , , |
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| Formato: | Objeto de conferencia Resumen |
| Lenguaje: | Inglés |
| Publicado: |
2017
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| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/98954 https://cimec.org.ar/ojs/index.php/mc/article/view/5341 |
| Aporte de: |
| id |
I19-R120-10915-98954 |
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| record_format |
dspace |
| institution |
Universidad Nacional de La Plata |
| institution_str |
I-19 |
| repository_str |
R-120 |
| collection |
SEDICI (UNLP) |
| language |
Inglés |
| topic |
Ingeniería Plasmonic resonance Uncertainties Reduced models |
| spellingShingle |
Ingeniería Plasmonic resonance Uncertainties Reduced models Otero, Fernando A. Frontini, Gloria L. Eliçabe, Guillermo E. Uncertainty quantification to assess a reduced model for the remote heating of a polymer |
| topic_facet |
Ingeniería Plasmonic resonance Uncertainties Reduced models |
| description |
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. |
| format |
Objeto de conferencia Resumen |
| author |
Otero, Fernando A. Frontini, Gloria L. Eliçabe, Guillermo E. |
| author_facet |
Otero, Fernando A. Frontini, Gloria L. Eliçabe, Guillermo E. |
| author_sort |
Otero, Fernando A. |
| title |
Uncertainty quantification to assess a reduced model for the remote heating of a polymer |
| title_short |
Uncertainty quantification to assess a reduced model for the remote heating of a polymer |
| title_full |
Uncertainty quantification to assess a reduced model for the remote heating of a polymer |
| title_fullStr |
Uncertainty quantification to assess a reduced model for the remote heating of a polymer |
| title_full_unstemmed |
Uncertainty quantification to assess a reduced model for the remote heating of a polymer |
| title_sort |
uncertainty quantification to assess a reduced model for the remote heating of a polymer |
| publishDate |
2017 |
| url |
http://sedici.unlp.edu.ar/handle/10915/98954 https://cimec.org.ar/ojs/index.php/mc/article/view/5341 |
| work_keys_str_mv |
AT oterofernandoa uncertaintyquantificationtoassessareducedmodelfortheremoteheatingofapolymer AT frontiniglorial uncertaintyquantificationtoassessareducedmodelfortheremoteheatingofapolymer AT elicabeguillermoe uncertaintyquantificationtoassessareducedmodelfortheremoteheatingofapolymer |
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Repositorios |
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