A method of determining the thermal conductivity of powdered and fibrous insulation as a function of filler gas pressure

Dul'nev, G. N.; Platunov, E. S.; Muratova, B. L.; Sigalova, Z. V.

doi:10.1007/bf00831584

Cited by 5 publications

(1 citation statement)

References 2 publications

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“…In order to improve the accuracy, we will consider the Series-Parallel analytical approach: first we need to choose the direction of the thermal flux; then we will use a 'slicing' technique where we appropriately cut the structure along the direction of the flux and use the analogue of Eqn 4 to calculate the effective conductivity of each slice and then the analogue of Eqn 3 to combine all of the slice's effective conductivities into the effective conductivity of the total structure. This approach was first used to the open-cell model structure by Dulnev [19]. For the closed-cell model structure this approach was described on numerous occasions; see for example [20].…”

Section: Analytical Approachmentioning

confidence: 99%

Theoretical and Lattice Monte Carlo analyses on thermal conduction in cellular metals

Fiedler

Belova

Murch

2010

Computational Materials Science

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This work addresses the effective thermal conductivity of cellular metals. Analytical relations for upper and lower bonds are evaluated. Formulae for effective conductivities are developed for an accurate estimation. In addition, extensive thermal Lattice Monte Carlo analyses are performed on a range of geometries. Next to simplified model structures, real geometries are addressed that exhibit closed (thick-walled structures), interconnected (open-cell structures) or both types (thin-walled structures) of porosity. To this end, calculation models of the real materials were directly based on computed tomography (CT) data in order to achieve a high level of geometrical accuracy.

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Section: Analytical Approachmentioning

confidence: 99%