Abstract
A novel modeling scheme of SOFC anodes based on the stochastic structure reconstruction technique and the Lattice Boltzmann method (LBM) is proposed for performance assessment and optimization of anode microstructures. Cross-sectional microscopy images are processed to obtain phase-distinguished images (i.e., Ni, YSZ and pore), and a three-dimensional model microstructure is reconstructed from the two-point correlation functions of the microscopy image. Then, the diffusivity, the electrical conductivity and the overpotential of the reconstructed anode are obtained through the LBM simulation. The electronic conductivity is predicted slightly smaller than the experimental result. However, the optimal sintering temperature is predicted to be around 1350 ºC, which is in good agreement with the literature data. Thus the proposed method predicts the anode performance for a given microstructure, and is considered as a promising tool for designing SOFC anodes.
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