Numerical analysis on the influence of flow field design and porous media tortuosity on liquid saturation in PEM fuel cells
J. O. Ceballos,
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L.C. Ordóñez,
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J.M. Sierra
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et al.
Ionics,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 21, 2025
Language: Английский
Unveiling the Effect of Ti Micro-Alloying on the Microstructure and Corrosion Resistance of the GH3536 Alloy Processed by Laser Metal Deposition in a Simulated Environment for PEMFCs
Bing Xu,
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Li Bo,
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Jie Zhang
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et al.
Materials,
Journal Year:
2024,
Volume and Issue:
17(23), P. 5900 - 5900
Published: Dec. 2, 2024
This
article
addresses
the
knowledge
gap
regarding
effect
of
Ti
addition
on
microstructure
and
corrosion
behavior
LMD-processed
GH3536
alloy
in
a
simulated
solution
proton
exchange
membrane
fuel
cells
(PEMFCs).
The
microstructural
evolution,
resistance,
passive
film
characteristics
with
varying
contents
were
characterized
through
variety
techniques,
including
scanning
electron
microscopy
(SEM),
X-ray
diffraction
(XRD),
transmission
(TEM),
energy
dispersive
spectroscopy
(EDS),
backscatter
(EBSD),
photoelectron
(XPS),
series
electrochemical
measurements.
results
indicate
that
resistance
significantly
improves
increasing
content.
However,
when
content
exceeds
0.2
wt.%,
beneficial
is
weakened.
Two
primary
mechanisms
explain
enhanced
involving
heterogeneous
nucleation
Ti-modified
Al
Language: Английский
A Multi-Feature Fusion Method for Life Prediction of Automotive Proton Exchange Membrane Fuel Cell Based on TCN-GRU
Materials,
Journal Year:
2024,
Volume and Issue:
17(19), P. 4713 - 4713
Published: Sept. 25, 2024
The
Proton
Exchange
Membrane
Fuel
Cell
(PEMFC)
is
a
fast-developing
battery
technology,
and
the
key
to
its
reliability
lifespan
improvement
lies
in
accurate
assessment
of
durability.
However,
degradation
mechanism
PEMFC
hard
determine
internal
parameters
are
highly
coupled.
Thus,
development
more
life
prediction
model
that
meets
actual
scenarios
be
investigated
urgently.
To
solve
this
problem,
multi-feature
fusion
method
based
on
Temporal
Convolutional
Network-Gated
Recurrent
Unit
(TCN-GRU)
proposed.
A
TCN
algorithm
used
as
base
model,
two
GRU
modules
included
with
strengthen
model's
expression
ability
improve
predictive
accuracy.
Two
widely
recognized
datasets
operating
conditions
utilized
for
training
prediction,
respectively.
Comparisons
made
single-feature
parameter
models
terms
Root
Mean
Square
Error
(RMSE)
Determination
Coefficient
(R
Language: Английский
The study on the performance of air-cooled open-cathode PEMFC with dead-ended anode
International Journal of Green Energy,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 12
Published: Nov. 4, 2024
In
order
to
be
able
improve
the
hydrogen
utilization
as
much
possible
while
ensuring
performance
of
air-cooled
open-cathode
proton
exchange
membrane
fuel
cell
(AO-PEMFC),
AO-PEMFC
with
dead-ended
anode
(DEA)
was
studied
in
this
paper.
First,
transient
voltage
model
established
and
causes
loss
were
analyzed.
Then,
effects
inlet
pressure,
cyclic
exhaust,
exhaust
duration
on
PEMFC
investigated
by
combining
experimental
methods
monitoring
EIS
measurement.
The
results
showed
that
effect
pressure
is
not
positively
correlated
DEA
also
influenced
load
current.
Cyclic
can
effectively
reduces
degradation,
optimal
cycle
different
for
has
little
at
various
currents.
However,
a
tendency
increased
then
stabilized
increase
higher
current
density.
Language: Английский