Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (8/8 displayed)

  • 2020On the anisotropy of thermal conductivity in ceramic bricks34citations
  • 2020Micro-macro heat conduction model for the prediction of local, transient temperature in composite media5citations
  • 2018Investigations on thermal anisotropy of ceramic brickscitations
  • 2015Unconventional experimental technologies used fo phase change materials (PCM) characterization. Part 2 – morphological and structural characterization, physico-chemical stability and mechanical properties38citations
  • 2015Front tracking method in modeling transport phenomena accompanying liquid–solid phase transition in binary alloys and semitransparent media17citations
  • 2015Micro-macro model for prediction of local temperature and concentration distribution in two-phase mediacitations
  • 2014Micro-macro model for prediction of local temperature distribution in heterogeneous and two-phase mediacitations
  • 2004Microscopic-macroscopic Modeling of Transport Phenomena During Solidification in Heterogeneous Systemscitations

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Wiśniewski, Tomasz
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Cieślikiewicz, Łukasz
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Kubiś, Michał
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Łapka, Piotr
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Paksoy, Halime O.
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Sumiga, Bostjan
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Banaszek, Jerzy
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Co-Authors (by relevance)

  • Wiśniewski, Tomasz
  • Cieślikiewicz, Łukasz
  • Kubiś, Michał
  • Pietrak, Karol
  • Seredyński, Mirosław
  • Wasik, Michał
  • Łapka, Piotr
  • Peñalosa, Conchita
  • Hadjieva, Mila
  • Cellat, Kemal
  • Anghel, Elena Maria
  • Krupa, Igor
  • Constantinescu, Mariaella
  • Jaworski, Maciej
  • Gschwander, Stefan
  • Giró-Paloma, Jessica
  • Martinez, Mònica
  • Solé, Aran
  • Fernández, Ana Inés
  • Boudenne, Abdel
  • Weber, Robert
  • Haussman, Thomas
  • Cabeza, Luisa F.
  • Bajare, Diana
  • Boh, Bojana
  • Lázaro, Ana
  • Vecstaudza, Jana
  • Malikova, Marta
  • Paksoy, Halime O.
  • Sumiga, Bostjan
  • Banaszek, Jerzy
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article

Micro-macro heat conduction model for the prediction of local, transient temperature in composite media

  • Furmański, Piotr
  • Łapka, Piotr
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.

Topics
  • impedance spectroscopy
  • microstructure
  • inclusion
  • phase
  • theory
  • composite