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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Warsaw University of Technology

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (9/9 displayed)

  • 2023Experimental and numerical estimation of thermal conductivity of bio-based building material with an enhanced thermal capacitycitations
  • 2022MODELING OF THERMAL CONDUCTIVITY OF BIO-BASED BUILDING COMPOSITEScitations
  • 2021Micro-scale modeling-based approach for calculation of thermal conductivity of bio-based building composite3citations
  • 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
  • 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

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Kubiś, Michał
3 / 13 shared
Bajare, Diana
3 / 17 shared
Dietrich, Fabian
3 / 4 shared
Sinka, Maris
3 / 3 shared
Furmanski, Piotr
2 / 4 shared
Vitola, Laura
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Cieślikiewicz, Łukasz
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Wiśniewski, Tomasz
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Furmański, Piotr
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Pietrak, Karol
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Seredyński, Mirosław
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Wasik, Michał
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Banaszek, Jerzy
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Co-Authors (by relevance)

  • Kubiś, Michał
  • Bajare, Diana
  • Dietrich, Fabian
  • Sinka, Maris
  • Furmanski, Piotr
  • Vitola, Laura
  • Cieślikiewicz, Łukasz
  • Wiśniewski, Tomasz
  • Furmański, Piotr
  • Pietrak, Karol
  • Seredyński, Mirosław
  • Wasik, Michał
  • Banaszek, Jerzy
OrganizationsLocationPeople

article

Micro-scale modeling-based approach for calculation of thermal conductivity of bio-based building composite

  • Vitola, Laura
  • Cieślikiewicz, Łukasz
  • Furmanski, Piotr
  • Bajare, Diana
  • Dietrich, Fabian
  • Łapka, Piotr
  • Sinka, Maris
Abstract

The paper presents a method of calculation of thermal conductivity of bio-based building composites by applying numerical approach which based on the real morphology of sample and the solution of heat conduction equation in the micro-scale. The real microstructure of composite sample was obtained from the X-ray micro tomography (microCT). Then the three-dimensional (3D) microCT scan was processed and prepared for numerical calculations in the specially developed in-house code which allowed also for decreasing the scan resolution and for arbitrary selection of considered domain. The processed scan was used to define the computational domain of representative elementary volume (REV) as well as its microstructure and materials distribution for which the heat conduction equation was solved. By applying the volume averaging technique and by using the obtained temperature distribution in the transient state in the computational domain values of thermal conductivity of bio-based building composite in the direction of heat flow were calculated. In the numerical model the one voxel of microCT scan corresponded to the one mesh element, therefore the generated computational meshes were quite large and it resulted in a long duration of simulations and large memory requirements. To mitigate these problems and to properly define the computational domain the influence of REV size on the obtained values of thermal conductivities of bio-based building composites was investigated. As a result, the optimal size of REV was found

Topics
  • microstructure
  • morphology
  • simulation
  • tomography
  • composite
  • thermal conductivity