| People | Locations | Statistics |
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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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Seredyński, Mirosław
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (12/12 displayed)
- 2020On the anisotropy of thermal conductivity in ceramic brickscitations
- 2019The two-domain model of solute transport in binary alloy
- 2019Numerical study of crystal growth kinetics influence on prediction of different dendritic zones and macro-segregation in binary alloy solidificationcitations
- 2018The numerical investigation of the effective thermal conductivity of the carbon fiber reinforced epoxy composites manufactured by the vacuum bag method
- 2018Investigations on thermal anisotropy of ceramic bricks
- 2018Influence of crystal growth kinetics on prediction of macro segregation by micro-macroscopic simulation of binary alloy solidification
- 2015Front tracking method in modeling transport phenomena accompanying liquid–solid phase transition in binary alloys and semitransparent mediacitations
- 2015Tracking an envelope of columnar dendrites on an unstructured control volume grid
- 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
- 2011Front Tracking Based Numerical Investigation of Relations Between Columnar Dendrites Permeability and Macrosegregation Evolution
- 2010Front Tracking Based Macroscopic Calculations of Columnar and Equiaxed Solidification of a Binary Alloycitations
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booksection
The numerical investigation of the effective thermal conductivity of the carbon fiber reinforced epoxy composites manufactured by the vacuum bag method
Abstract
composites manufactured with vacuum bag only process (VBO) is investigated. The geometric structure of such composite is highly complex due to high aspect ratio of its components, carbon fibers. The macro-structure is a result of packaging thousands of fibers into bunches which are interwoven mutually and next infiltrated with the epoxy resin. The careful infiltration process can effectively reduce the volume and number of air gaps in the bulk epoxy resin and enhance infiltration of bunches of carbon fibers with epoxy resin. In such manufactured composite at least two spatial scales can be identified, the micro-scale related to the diameter of a single fiber and the macro-scale related to the diameter of bunch of fibers. The multi-scale numerical model of the effective thermal conductivity is proposed. The meso-scale orthogonal tensor of effective conductivity of group of parallel carbon fibers immersed in epoxy resin is estimated, based on analytical or experimental formulae available in literature. It reflects the micro-scale details of the structure and enables considerable simplification of the problem. The contactresistance between carbon fibers and matrix material is included in the model as well as estimated experimentally fraction of voids. The impact of the manufacturing vacuum level on the overall thickness of the composite was observed. This fact indicated that fiber to matrix ratio vary with change of vacuum level which was included in the computational model. The effective thermal conductivity is estimated numerically by solving the stationary heat transfer problem in the small segment of the domain, containing several fibers. The detailed geometry of the segment is based on the microscopic images of the cross-section of the bunch. Such determined effective thermal conductivity tensor is used in the macro-scale analysis as the effective property of bunches of carbon fibers filled with resin. The macro-scale effective thermal conductivity of such defined composite is determined numerically, under assumption the heat transfer process is stationary and temperatures at the opposite walls are uniform. Results are compared to values determined experimentally.