Abstract
The paper
presents an innovative development methodology for a production and reliability
oriented SOFC cell and stack design aiming at improving the stacks robustness, manufacturability,
efficiency and cost. Multi-physics models allowed a probabilistic approach to
consider statistical variations in production, material and operating
parameters for the optimization phase. A methodology for 3D description of
spatial distribution of material properties based on a random field models was
developed and validated by experiments. Homogenized material models on multiple
levels of the SOFC stack were established. The probabilistic models were
related to the experimentally obtained properties of base materials to
establish a statistical relationship between the material properties and the
most relevant load effects. Software algorithms for meta models that allow the
detection of relationships between input and output parameters and to perform a
sensitivity analysis were developed and implemented. The capabilities of the
methodology is illustrated on two practical cases.
| Original language | English |
|---|---|
| Journal | E C S Transactions |
| Volume | 78 |
| Issue number | 1 |
| Pages (from-to) | 2231-2249 |
| ISSN | 1938-5862 |
| DOIs | |
| Publication status | Published - 2017 |
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