Energy Storage, Conversion And Utilization Direct Energy Conversion

Microstructure Sensitive Design and Quantitative Prediction of Effective Conductivity in Fuel Cell Design

Authors: Garmestani, Hamid Li, Dongsheng Khaleel, Mohammad A.
 
Abstract: Statistical continuum approach is used to predict effective conductivity of anisotropic random porous heterogeneous media using two-point correlation functions. Probability functions play a critical role in describing the statistical distribution of different constituents in a heterogeneous media. In this study a 3-dimensional two-point correlation function is utilized to characterize the anisotropic porous media of a Cathode materials to incorporate all the details of the microstructure. These correlation functions are then linked to the effective properties using homogenization relations. An anisotropioc Green�s function solution is used to solve the set of field equations. Examples in this study demonstrated how the model captured the anisotropy in effective conductivity of the random heterogeneous media. Predicted results showed the influence of microstructure on the effective conductivity tensor.
Publication Date: 02 Oct 2007
Report numbers: PNNL-SA-57981
DOE Contract number: AC05-76RL01830
Resource Type: Journal Article
Resource Relation: Journal: Materials Science Forum, 561-565:315-318; Journal Volume: 561-565
Research Organizations: Pacific Northwest National Laboratory (PNNL), Richland, WA (US)
Sponsoring Organizations: USDOE
Country of Publication: United States
Language: English
Keywords relating to this report:
ANISOTROPY
CATHODES
CORRELATION FUNCTIONS
DESIGN
DISTRIBUTION
FIELD EQUATIONS
FORECASTING
FUEL CELLS
MICROSTRUCTURE
PROBABILITY
Related subjects:
CONDUCTIVITY IN FUEL CELL DESIGN
MICROSTRUCTURE