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Dominique Baillis

Researcher at Institut national des sciences Appliquées de Lyon

Publications -  113
Citations -  3944

Dominique Baillis is an academic researcher from Institut national des sciences Appliquées de Lyon. The author has contributed to research in topics: Radiative transfer & Heat transfer. The author has an hindex of 36, co-authored 111 publications receiving 3415 citations. Previous affiliations of Dominique Baillis include Intelligence and National Security Alliance & Institut national des sciences appliquées.

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Thermal radiation properties of dispersed media: theoretical prediction and experimental characterization

TL;DR: In this article, a review of radiative heat transfer in dispersed media is carried out, focusing on practical applications dealing with several types of particulate media which play an important role in a number of industrial processes.
Book

Thermal Radiation in Disperse Systems: An Engineering Approach

TL;DR: In this paper, the main attention is given to simple approximate models, both traditional and modified, which have a clear physical sense and enable one to derive some useful analytical solutions to classic problems.
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Melamine-derived carbon sponges for oil-water separation

TL;DR: In this article, the elaboration and characterization of hydrophobic melamine-based sponges are presented. And the relationship between hydrophobicity and physicochemical evolution on heat treatment (carbonization process, diffusion of additives, porosity evolution) was studied.
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Heat transfer modeling in vacuum insulation panels containing nanoporous silicas—A review

TL;DR: In this paper, a complete review on heat transfer modeling in vacuum insulation panels containing nanoporous silicas is conducted and the parameters that play a key role in the total heat transfer are identified.
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Metallic foams: Radiative properties/comparison between different models

TL;DR: In this paper, the extinction coefficient, the scattering albedo and the scattering phase function, of highly porous open-cell aluminium foam, using more-orless simple predictive models, were determined.