@Article{cmes.2020.08164,
AUTHOR = {Arka Das, Anthony Khoury, Eduardo Divo, Victor Huayamave, Andres Ceballos, Ron Eaglin, Alain Kassab, Adam Payne, Vijay Yelundur, Hubert Seigneur},
TITLE = {Real-Time Thermomechanical Modeling of PV Cell Fabrication via a POD-Trained RBF Interpolation Network},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {122},
YEAR = {2020},
NUMBER = {3},
PAGES = {757--777},
URL = {http://www.techscience.com/CMES/v122n3/38374},
ISSN = {1526-1506},
ABSTRACT = {This paper presents a numerical reduced order model framework to simulate the 
physics of the thermomechanical processes that occur during c-Si photovoltaic (PV) cell 
fabrication. A response surface based on a radial basis function (RBF) interpolation 
network trained by a Proper Orthogonal Decomposition (POD) of the solution fields is 
developed for fast and accurate approximations of thermal loading conditions on PV cells 
during the fabrication processes. The outcome is a stand-alone computational tool that
provides, in real time, the quantitative and qualitative thermomechanical response as a 
function of user-controlled input parameters for fabrication processes with the precision of 
3D finite element analysis (FEA). This tool provides an efficient and effective avenue for 
design and optimization as well as for failure prediction of PV cells.},
DOI = {10.32604/cmes.2020.08164}
}