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Relevant bibliographies by topics / Thermal parameters identification

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Journal articles

Academic literature on the topic 'Thermal parameters identification'

Author: Grafiati

Published: 13 April 2024

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Journal articles on the topic "Thermal parameters identification"

1

Whalley, R., and D. Mitchell. "The identification of engineering system parameters." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 211, no. 1 (1997): 1–14. http://dx.doi.org/10.1243/0959651971539641.

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A procedure enabling the identification of the mass/inertia, damping and stiffness matrices for mechanical systems or the analogous inductance, resistance and capacitance matrices for electrical, fluid or thermal systems from measured results is developed. Analytical constraints that are mandatory are defined. Illustrative examples are provided.

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2

Rose, L., and A. Menzel. "Identification of thermal material parameters for thermo-mechanically coupled material models." Meccanica 56, no. 2 (2021): 393–416. http://dx.doi.org/10.1007/s11012-020-01267-2.

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AbstractThe possibility of accurately identifying thermal material parameters on the basis of a simple tension test is presented, using a parameter identification framework for thermo-mechanically coupled material models on the basis of full field displacement and temperature field measurements. Main objective is to show the impact of the material model formulation on the results of such an identification with respect to accuracy and uniqueness of the result. To do so, and as a proof of concept, the data of two different experiments is used. One experiment including cooling of the specimen, du

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3

Garmendia, Iñaki, and Eva Anglada. "Thermal parameters identification in the correlation of spacecraft thermal models against thermal test results." Acta Astronautica 191 (February 2022): 270–78. http://dx.doi.org/10.1016/j.actaastro.2021.11.025.

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4

Bouache, T., K. Limam, and W. Bosschaerts. "New thermal parameters identification approach applied to the thermal renovation of buildings." Energy and Buildings 104 (October 2015): 156–64. http://dx.doi.org/10.1016/j.enbuild.2015.06.077.

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5

Monika, Božiková, Hlaváč Petr, Híreš Ľubomír, et al. "Temperature effect on various biooils physical parameters." Research in Agricultural Engineering 63, No. 4 (2017): 145–51. http://dx.doi.org/10.17221/60/2015-rae.

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The article deals with thermal and rheological properties of two selected biooils (PL 64S – sample No. 1, and PL 04N – sample No. 2). For thermal parameters measurements, Hot wire method was used, for detection of rheological parameters rheometer Anton Paar MCR 102 was used and the density was measured by densimeter DM 40. For both biooil samples, two series of thermophysical parameters measurements were made. In the first series thermal conductivity and thermal diffusivity were measured at constant laboratory temperature. The second series was focused on identification of thermophysical param

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6

Ghafiri, Abdelaaziz, Jamal Chaoufi, Claude Vallee, et al. "Identification of Thermal Parameters by Treating the Inverse Problem." International Journal of Computer Applications 87, no. 11 (2014): 1–5. http://dx.doi.org/10.5120/15249-3719.

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7

SAKAGAMI, Takahide, Daisuke IMANISHI, and Shiro KUBO. "301 Identification of Defect Parameters by Thermal Response Spectroscopy." Proceedings of The Computational Mechanics Conference 2005.18 (2005): 131–32. http://dx.doi.org/10.1299/jsmecmd.2005.18.131.

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8

Matiašovský, Peter. "The equivalent thermal parameters, their analytical and experimental identification." Solar Energy Materials and Solar Cells 27, no. 2 (1992): 119–26. http://dx.doi.org/10.1016/0927-0248(92)90114-5.

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9

Liu, G. R., J. H. Lee, A. T. Patera, Z. L. Yang, and K. Y. Lam. "Inverse identification of thermal parameters using reduced-basis method." Computer Methods in Applied Mechanics and Engineering 194, no. 27-29 (2005): 3090–107. http://dx.doi.org/10.1016/j.cma.2004.08.003.

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10

Bondarchuk, Ivan, Valery Perevozkin, Sergey Bondarchuk, and Alexander Vorozhtsov. "Identification of the Kinetic Parameters of Thermal Micro-organisms Inactivation." Applied Sciences 12, no. 22 (2022): 11505. http://dx.doi.org/10.3390/app122211505.

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A mathematical model for estimating the characteristics of the process of thermal inactivation of vegetative bacterial cells and their spores is presented. The model relates the change rate of the number of living cells as a nonlinear kinetic dependence of the p-th order, and the temperature constant of their inactivation rate is the Arrhenius function. A method for solving the inverse kinetic problem of identifying the parameters of this model from experimental data is proposed. The method is implemented through the minimization of the original functional, which reduces the number of variable

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