Lattice Boltzmann modeling of the effective thermal conductivity for fibrous materials

By Moran Wang, Ji-Huan He, Jianyong Yu, Ning Pan. 2007

192 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computational Mechanics, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/cc3d743a8356317f630a40cfffdb42e250603cff

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Moran Wang
2. Ning Pan

In Computational Mechanics

1. Moran Wang
2. Ning Pan
3. Qinjun Kang
4. Qing Li
5. Qing Liu
6. Yangyang He
7. P. Lichtner

In Electrical and Electronic Engineering

1. Moran Wang
2. Ning Pan
3. Qinjun Kang

Citations in the corpus

• Thermal conductivity enhancement of carbon fiber composites (2009, methodology): “[14] recently proposed a random generation-growth algorithm for reproducing two-dimensional (2D) random microstructures of fibrous materials and investigated the effects of fiber aspect ratio, orientation angle and volume fraction on the effective thermal conductivity.”
• Modeling and prediction of the effective thermal conductivity of random open-cell porous foams (2008, methodology): “We thus propose to adopt the highly efficient LBM approach, which can easily tackle the multiple component/phase interactions and complex structural boundary conditions, while being auto-conservative [24–26].”