K6 Superisolierungen

Reiss, Harald

doi:10.1007/978-3-642-19981-3_73

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Solid Thermal Conductivity1

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2022

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Cited by 3 publications

(1 citation statement)

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“…The contact resistance is not easy to capture and depends on the Poisson's ratio , the elastic modulus Y, the radius of the particles and the effecting pressure load F. These influences are summarized in Eq. (4), which is used by many authors to calculate solid thermal conductivity [4,15].…”

Section: Solid Thermal Conductivitymentioning

confidence: 99%

Correlation of pore size distribution with thermal conductivity of precipitated silica and experimental determination of the coupling effect

Sonnick

Meier

Ross-Jones

et al. 2019

Applied Thermal Engineering

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Section: Solid Thermal Conductivitymentioning

confidence: 99%

Correlation of pore size distribution with thermal conductivity of precipitated silica and experimental determination of the coupling effect

Sonnick

Meier

Ross-Jones

et al. 2019

Applied Thermal Engineering

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Vacuum Super Insulated Thermal Storage Systems for Buildings and Industrial Applications

Beikircher¹,

Rottmann²

2022

Advances in Energy Storage

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Investigation of the Effective Thermal Conductivity of Cell Stacks of Li‐Ion Batteries

et al. 2020

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Knowledge of the thermal transport properties of the individual battery components and their combination is required for the design of thermally optimized lithium‐ion batteries. Based on this, the limiting components can be identified and potentially improved. In this contribution, the microstructures of commercial porous electrode coatings, electrode stacks, and cell stacks are reconstructed based on experimentally determined structure parameters using a specifically developed structure generation routine. The effective thermal conductivity of the generated stacked structures is then determined by a numerical tool developed in‐house based on the finite‐volume method. The results are compared with an analytical model for fast accurate predictions which takes the morphological parameter sets and the geometry of the stacks into account. Both models are used to identify the system‐limiting components via selected simulation studies. Finally, the results of both models are compared with experimental data for commercial electrode stacks and common literature values for cell stacks.

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K6 Superisolierungen

Cited by 3 publications

References 30 publications

Correlation of pore size distribution with thermal conductivity of precipitated silica and experimental determination of the coupling effect

Correlation of pore size distribution with thermal conductivity of precipitated silica and experimental determination of the coupling effect

Vacuum Super Insulated Thermal Storage Systems for Buildings and Industrial Applications

Investigation of the Effective Thermal Conductivity of Cell Stacks of Li‐Ion Batteries

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