2016
DOI: 10.1016/j.csndt.2016.03.002
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Evaluation of relationships between particle orientation and thermal conductivity in bark insulation board by means of CT and discrete modeling

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Cited by 17 publications
(12 citation statements)
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“…This finding can be explained by the theory of optimal heat conduction pathways (Carson et al 2005), according to that vertical particles form conduits for the heat energy flow, which results in a higher TC. Other investigations confirmed this coherence for bark particleboard (Kain et al 2016b), wood fibre boards and wood composites in general (Joščák et al 2012).…”
Section: Discussionsupporting
confidence: 64%
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“…This finding can be explained by the theory of optimal heat conduction pathways (Carson et al 2005), according to that vertical particles form conduits for the heat energy flow, which results in a higher TC. Other investigations confirmed this coherence for bark particleboard (Kain et al 2016b), wood fibre boards and wood composites in general (Joščák et al 2012).…”
Section: Discussionsupporting
confidence: 64%
“…The thermal conductivity of bark boards with particles aligned horizontally to panel plane is on average 13% lower than with orthogonally oriented particles (Kain et al 2016b). The mechanical properties of wood composites can be influenced by a targeted particle orientation as well.…”
Section: Introductionmentioning
confidence: 99%
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“…Tree bark is a highly heterogeneous material, consisting of various material phases which hinder its technical workability. Nevertheless, the multiphase character of bark displays potential for panel optimization [ 15 ], due to characteristics such as steered particle orientation [ 16 ].…”
Section: Introductionmentioning
confidence: 99%
“…It is shown that due to the estimated optimal ratios it is possible to adjust the content of the components to ensure the thermal insulation process. In addition, knowledge about permanent panels, understanding of non-uniform boards are improved due to the identification of two major components [13]. This is knowledge of the internal microestructure of the bark board, which allowed creating a numerical model of thermal conductivity based on finite difference methods.…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%