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Simultaneous estimation of temperature and emissivity of metals around their melting points by deterministic and Bayesian techniques

Abstract : This article presents the temperature and emissivity estimation of metals around their melting points using different techniques, which are based on deterministic (ordinary least squares) and Bayesian approaches. Linear and non-linear models are examined. The experimental data consist of radiative fluxes at six wavelengths, collected by a pyrometer. The apparatus is dedicated to the characterization of the physical properties of millimeter-sized metal samples at high temperatures, combining aerodynamic levitation and laser heating. Tests are performed on two metals: niobium with well-known temperature and steel.
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https://hal.archives-ouvertes.fr/hal-03454781
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Submitted on : Tuesday, November 30, 2021 - 11:37:45 AM
Last modification on : Wednesday, March 16, 2022 - 3:46:09 AM
Long-term archiving on: : Tuesday, March 1, 2022 - 6:48:18 PM

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Thomas Pierre, Jean-Claude Krapez, Helcio R.B. Orlande, Christophe Rodiet, Dylan Le Maux, et al.. Simultaneous estimation of temperature and emissivity of metals around their melting points by deterministic and Bayesian techniques. International Journal of Heat and Mass Transfer, Elsevier, 2022, 183, Part A, pp.122077. ⟨10.1016/j.ijheatmasstransfer.2021.122077⟩. ⟨hal-03454781⟩

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