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Erschienen in:

2018 | OriginalPaper | Buchkapitel

4. Thermophysical Properties Measurement and Identification

verfasst von : Helcio R. B. Orlande, Olivier Fudym

Erschienen in: Handbook of Thermal Science and Engineering

Verlag: Springer International Publishing

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Abstract

The measurement of thermophysical properties is most often an indirect method, which requires the estimation of some parameters by comparing the experimental data with the mathematical modeling of the experimental bench. Moreover, the development of new materials and systems brings about the need of new methods designed for specific applications. This chapter aims at presenting some inverse methods that are of great interest for nowadays challenging problems related to the measurement of thermophysical properties. The basic concepts of inverse methods are presented, but emphasis is given to the solution of inverse problems within the Bayesian framework, in special, with the Markov Chain Monte Carlo (MCMC) methods. Three illustrative examples of applications are presented, namely: (i) thermal characterization of highly orthotropic carbon fiber composite materials; (ii) thermal characterization of metallic nanofilms for nonvolatile phase change memory; and (iii) simultaneous estimation of spatially varying thermal diffusivity and heat flux.

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Vorheriges Kapitel Numerical Methods for Conduction-Type Phenomena

Nächstes Kapitel Design of Thermal Systems

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Titel: Thermophysical Properties Measurement and Identification
verfasst von: Helcio R. B. Orlande
Olivier Fudym
Verlag: Springer International Publishing
Buch: Handbook of Thermal Science and Engineering
Print ISBN: 978-3-319-26694-7

Electronic ISBN: 978-3-319-26695-4

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-26695-4_5

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