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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Furmański, Piotr
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Topics
Publications (8/8 displayed)
- 2020On the anisotropy of thermal conductivity in ceramic brickscitations
- 2020Micro-macro heat conduction model for the prediction of local, transient temperature in composite mediacitations
- 2018Investigations on thermal anisotropy of ceramic bricks
- 2015Unconventional experimental technologies used fo phase change materials (PCM) characterization. Part 2 – morphological and structural characterization, physico-chemical stability and mechanical propertiescitations
- 2015Front tracking method in modeling transport phenomena accompanying liquid–solid phase transition in binary alloys and semitransparent mediacitations
- 2015Micro-macro model for prediction of local temperature and concentration distribution in two-phase media
- 2014Micro-macro model for prediction of local temperature distribution in heterogeneous and two-phase media
- 2004Microscopic-macroscopic Modeling of Transport Phenomena During Solidification in Heterogeneous Systems
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article
Micro-macro heat conduction model for the prediction of local, transient temperature in composite media
Abstract
Heat flow in heterogeneous media with complex microstructure follows tortuous path and therefore the determination of local temperature distribution is a challenging task. The paper presents a micro-macro heat conduction model for the prediction of this distribution. The proposed solution is based on the prior determination of the macroscopic temperature in a quasi-homogeneous medium characterized by effective properties and then on using the relations between the macroscopic and microscopic temperatures. The Ensemble Averaging Method (EAM) was applied to derive the macroscopic transport equations while the combination of the EAM with the Green's Function Theory (GFT) was used to obtain relations between microscopic and macroscopic temperature fields. The expansion of these relations versus powers of the ratio of the micro to macro dimensions was then used to obtain a two-scale approximation of the mentioned relations. The model is applicable wherever the characteristic dimensions of the microstructure, i.e., distance between inclusions, are smaller than macro-dimension associated with time and spatial variation of macroscopic temperature distribution. The latter can be found from the respective expansion of the macroscopic temperature distribution into the Fourier series. The verification of the proposed model was carried out for 2D transient heat conduction in a periodic composite with the fixed microstructure by comparing direct numerical solution of the energy equation with the results of the approximate micro-macroscopic modelling. The model will be further extended to the prediction of temperature distribution in the case when the thermal contact resistance between constituents, species concentration in heterogeneous media, phase change phenomena and formation of a medium microstructure are present.