Abstract
A reliable multiscale/multiphysics numerical modeling
requires including all relevant physical phenomena along
the process chain, typically involving multiple scales,
and the combination of knowledge from multiple fields. A
pragmatic approach lies in combining existing tools, to
build a customized multiphysics simulation chain. In
order to achieve such a modular approach, a multi-physics
integration framework MuPIF has been designed [1, 2]
which provides an underlying infrastructure enabling
high-level data exchange and steering of individual
applications.
MuPIF is an object-oriented framework written in Python
and built on abstract classes. The abstract classes
define standardized abstract interfaces that allow to
manipulate individual sub-models and high-level data
components using the same generic interface. A top-level
steering script orchestrates data exchange among tools
and controls their runs. MuPIF supports a distributed
simulation chain running on remote computers, taking
advantage of secure communication, public/private key
authentication, resource allocation, built on top of
python remote object library Pyro4. This allows running
MuPIF on various operating systems, arbitrary network
setups while integrating in-house or commercial codes as
independent entities.
A two simulation scenarios are developed in the MMP
project [3], simulating a CIGS thin film growth process
for the fabrication of solar cells and phosphors as light
conversion material. The first scenario combines a CFD
model, providing non-stationary temperature field on a
furnace glass wafer and microstructure evolution model
calculating the CIGS formation in a Cu-In-Ga thin film
during selenisation by solving local phase distribution
and element concentrations on a particular RVE. The
second scenario combines optical model calculating the
light absorption distribution inside the phosphor layer,
blue die and the side walls of the molding component,
which are transferred into the thermal model, where the
absorption distribution is treated as an effective heat
source. The thermal model calculates the stationary
temperature distribution inside the entire LED and the
transient temperature distribution during cooling down.
Details of both scenarios will be provided on model
coupling, their steering, distributed setup, performance
and model outputs.
Finally, the current developments for achieving
interoperability within a cluster and future challenges
for the MuPIF platform will be presented and discussed.
The authors would like to acknowledge the support of EU
FP7 project Multiscale Modelling Platform: Smart design
of nano-enabled products in green technologies (GA no:
604279).
| Original language | English |
|---|---|
| Title of host publication | Multiscale Simulation |
| Subtitle of host publication | From Materials through to Industrial Usage |
| Publisher | University College Dublin |
| Pages | 34 |
| Publication status | Published - 2016 |
| Event | Multiscale Simulation: from Materials through to Industrial Usage - Dublin, Ireland Duration: 5 Sept 2016 → 7 Sept 2016 |
Conference
| Conference | Multiscale Simulation: from Materials through to Industrial Usage |
|---|---|
| Country/Territory | Ireland |
| City | Dublin |
| Period | 5/09/16 → 7/09/16 |