TY - JOUR
T1 - Numerical Study of a 3D Two-Phase PEM Fuel Cell Model via a Novel Automated Finite Element/Finite Volume Program Generator
AU - Pengtao Sun, Su Zhou, Qiya Hu & Guoping Liang
JO - Communications in Computational Physics
VL - 1
SP - 65
EP - 98
PY - 2012
DA - 2012/11
SN - 11
DO - http://doi.org/10.4208/cicp.051010.180311a
UR - https://global-sci.org/intro/article_detail/cicp/7354.html
KW - 
AB - <p style="text-align: justify;">Numerical methods of a 3D multiphysics, two-phase transport model of
proton exchange membrane fuel cell (PEMFC) is studied in this paper. Due to the
coexistence of multiphase regions, the standard finite element/finite volume method
may fail to obtain a convergent nonlinear iteration for a two-phase transport model
of PEMFC [49, 50]. By introducing Kirchhoff transformation technique and a combined finite element-upwind finite volume approach, we efficiently achieve a fast convergence and reasonable solutions for this multiphase, multiphysics PEMFC model.
Numerical implementation is done by using a novel automated finite element/finite
volume program generator (FEPG). By virtue of a high-level algorithm description language (script), component programming and human intelligence technologies, FEPG
can quickly generate finite element/finite volume source code for PEMFC simulation.
Thus, one can focus on the efficient algorithm research without being distracted by
the tedious computer programming on finite element/finite volume methods. Numerical success confirms that FEPG is an efficient tool for both algorithm research and
software development of a 3D, multiphysics PEMFC model with multicomponent and
multiphase mechanism.</p>