Please use this identifier to cite or link to this item: http://hdl.handle.net/11422/8596
Type: Artigo
Title: Space-variable thermophysical properties identification in nanocomposites via integral transforms, Bayesian inference and infrared thermography
Author(s)/Inventor(s): Knupp, Diego Campos
Naveira-Cotta, Carolina Palma
Ayres, João Vítor Cabral
Orlande, Helcio Rangel Barreto
Cotta, Renato Machado
Abstract: Indisponível.
Abstract: Simultaneous estimation of space-variable thermal conductivity and heat capacity in heterogeneous samples of nanocomposites is dealt with by employing a combination of the generalized integral transform technique (GITT), for the direct problem solution, Bayesian inference as implemented with the Markov chain Monte Carlo (MCMC) method, for the inverse analysis and infrared thermography, for the temperature measurements. Another aspect of the proposed approach is the integral transformation of the thermographic experimental data along the space variable, which allows for a significant data compression since the inverse analysis is undertaken within the transformed field. Results are presented for the covalidation of the experiment with a homogeneous polyester plate, as well as for a plate made of polyester–alumina nanoparticles composite with abrupt variation of the filler concentration.
Keywords: Heterogeneous media
Nanocomposites
Bayesian inference
Integral transforms
Infrared thermography
Subject CNPq: CNPQ::CIENCIAS EXATAS E DA TERRA::FISICA::AREAS CLASSICAS DE FENOMENOLOGIA E SUAS APLICACOES::DINAMICA DOS FLUIDOS
Department : Núcleo Interdisciplinar de Dinâmica dos Fluidos
Publisher: Taylor & Francis
In: Inverse Problems in Science and Engineering
Volume: 20
Issue: 5
Issue Date: 28-Jun-2012
DOI: 10.1080/17415977.2012.695358
Publisher country: Brasil
Language: eng
Right access: Acesso Aberto
ISSN: 1741-5977
Appears in Collections:Engenharias

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