Estimating correlations for the effective thermal conductivity of granular materials

By E. Gonzo. 2002

202 citations recorded by the source corpus.

Subfields: Computational Mechanics, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/32d777cc85ad00c09dffe43aeff4d9f5e602687a

How researchers see this paper

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

In Computational Mechanics

1. Zhen Yang
2. Suresh V. Garimella
3. Scott M. Flueckiger
4. T. Harirchian
5. S. Bertsch
6. Eckhard A. Groll

In Mechanics of Materials

1. Zhen Yang
2. Suresh V. Garimella
3. Scott M. Flueckiger

Citations in the corpus

• An Integrated Thermal and Mechanical Investigation of Molten-Salt Thermocline Energy Storage (2011, methodology): “The effective thermal conductivity of the dual-media mixture is computed using the correlation proposed by Gonzo [17].”
• A review on experience feedback and numerical modeling of packed-bed thermal energy storage systems (2017, result): “Similarly, Gonzo, 2002, empirically included the influence of both void fraction and material conductivities in Maxwell equations.”
• Thermal analysis of solar thermal energy storage in a molten-salt thermocline (2010, unknown): “(3) can then be expressed as [22]                  1 5 .”