1. Introduction
Fuel cells have emerged as a promising and environmentally friendly energy conversion technology, offering the efficient conversion of chemical energy into electrical energy with minimal indirect greenhouse gas emissions. Among the various fuel cell types, polymer electrolyte fuel cells (PEFCs) have garnered significant attention for their potential application in diverse fields, such as transportation, stationary power generation, and portable electronic devices. To harness the full potential of PEFCs and address the challenges of mass transport and reactant distribution, effective flow field design is essential.
Traditional flow field designs in PEFCs, such as serpentine and parallel channels, have been widely adopted due to their simplicity and manufacturability [
1]. However, these conventional flow field configurations often suffer from issues such as pressure drop [
2], flow maldistribution [
3], and limitations in water management [
4], which can hamper the overall performance and durability of the fuel cell.
In recent years, extensive research has been conducted to explore novel flow field configurations that can address these challenges and improve the performance of PEFCs. Among these advancements, the application of metal foam as a flow field in fuel cells has shown promising potential [
5,
6]. Metal foams, characterized by their high surface area, interconnected porosity, and excellent thermal conductivity, present unique opportunities for enhancing mass transport [
7], improving reactant distribution [
8], and water management capability [
9] within PEFCs. The incorporation of metal foam as a flow field introduces several advantages over conventional flow field designs. The high porosity and interconnected pores of metal foam promote efficient reactant distribution, reducing reactant depletion, uniform temperature and pressure distribution, weight reduction [
10] and enhancing cell performance [
11]. Additionally, the three-dimensional structure of metal foam enhances the removal of reaction by-products, leading to reduced concentration gradients and minimized performance degradation [
12].
Recent studies have explored various aspects of metal foam flow fields, ranging from design, optimization, and manufacturing techniques to electrochemical performance evaluation. For instance, Park et al. conducted a series of research about graphene foam flow field superiority compared to the conventional serpentine type [
7,
13]. They suggested to use graphene foam with in-plane and through-plane pores to play the roles of both channel-rib and gas diffusion layer (GDL) [
13]. Their experiments showed that the graphene foam could mitigate the mass transport resistance by applying more uniform reactant distribution and enhancing water droplets removal [
7]. In an analytical model, Jo and Ju investigated the effect of using metal foam instead of a parallel serpentine flow field [
14]. They reported that although using metal foam-based flow fields leads to less severe oxygen depletion and more uniform current density profiles owing to the absence of channels and ribs, however, it also experiences weaker convective flow, while the parallel serpentine flow field has stronger convective over-rib flow due to the pressure gradient between two neighboring channels. So, metal foam flow fields are susceptible to water accumulation especially for high relative humidities. Although this condition is suitable for membrane hydration, it is unfavorable water removal and flooding suppression [
14]. This topic has been studied in another experimental research by Wu et al. [
15] who compared the formation, accumulation and removal of water between metal foam and conventional serpentine flow-fields using in-operando neutron radiography in their experiments. They revealed that metal foam PEFCs are resistant to dehydration so that they may be susceptible for water accumulation especially at low current density.
Based on the literature, using a metal foam flow field as an alternative to the conventional serpentine channels has advantages, including fluid flow uniformity and monotonic distribution of current density [
16] and temperature [
17], which enhance the fuel cell performance and avoid occurring local hotspots within the MEA consequently increase the lifetime. Pressure drop and parasitic pumping power are considerably lower in metal foam flow fields than in serpentine type [
15], which helps to achieve higher levels of net power. However, based on Ref. [
18], there is also a lower limit for pressure gradient from the inlet to the outlet, which causes drag of the produced liquid water droplets in the cathode electrode and removes them to the outside of the cell to prevent flooding. This low-pressure condition is one of the metal foam flow-field weak points which leads to more liquid water accumulation and flooding [
15]. The other metal foam disadvantage is high electrical contact resistance caused due to low contact area between the solid parts of foam and MEA and current collector [
19]. This problem could be mitigated by compressing the metal foam between the MEA and the current collector [
20]. The in-plane pores are shrunk in compressed metal foam [
7] leads to shorten the electron transfer path and increases the contact area between the sandwiched metal foam and the MEA and current collector. Meanwhile, the through-plane pores remain large enough to conduct the reactant flow to the MEA [
7]. It is worth noting that placing a porous layer with a pore-scale size larger than the catalyst layer and smaller than foam (such as GDL or micro-porous layer, MPL) leads to reducing the contact resistance between foam and MEA [
21]. Maybe as the last demerit, metal foams suffer from low resistance against corrosion [
22], which also happens in metallic bipolar plates (BPP) [
23] and graphite and graphene foams [
13,
15]. To solve this problem, different kinds of anti-corrosion and hydrophobic surface coating, including Teflon (PTFE) [
6], Ni/Sn electrodeposition [
24], and reduced graphene oxide (rGO) [
25], are suggested.
The research papers in the literature reveal that morphology (pore density, porosity, area density (mass per unit area), permeability, tortuosity, pores interconnections), structure (thickness, compression ratio), and material of the foam used as flow-field in PEFCs have essential roles to overcome metal foams’ drawbacks and improve fuel cell performance [
26,
27,
28]. Zhang et al. presented a 3D computational fluid dynamics (CFD) model of the complete morphology of metal foam [
26]. Their results showed that local velocities varied greatly, and the reactant gas could be transferred into the catalyst layer more uniformly and easily due to the metal foam structure. In an experimental study, Chen et al. studied the influence of PPI, compression ratio, and thickness of the metal foam [
9] on fuel cell performance. They showed that there is an optimal PPI for cathode foam due to the trade-off between gas flow uniformity and liquid water removal, while for the anode foam, the higher the PPI, the more the hydrogen uniformity and the higher the cell performance. Chen et al. also indicated that the flooding issue will be addressed by increasing the cathode foam compression ratio, while there is an optimum value for compression ratio of the anode foam [
9].
In light of the recent research and the increasing interest in metal foam as a flow field in fuel cells, this paper aims to present a comprehensive and exact evaluation of metal foam flow field application within PEFCs from both simulation and experiment viewpoints. It is tried to design a metal foam flow field to mitigate the concentration loss that occurs at high current densities and increases the limiting current density to values that have not been reported in the literature yet. In this regard, the influence of foam material and current collector (housing plate) material has been investigated on the fuel cell performance experimentally for the first time. Also, the fuel cell performance is evaluated through experiments at different operating relative humidity conditions for both foam-based and serpentine flow fields as novel research. In the following, the effect of some other determinative parameters, such as compression ratio (CR) and final thickness of the metal foam, is also investigated on fuel cell performance. In addition, to complete the evaluation, the performance of fuel cell with the best case of the metal foam flow field is compared with that of the conventional single serpentine channel. Finally, to have a comprehensive, thorough, and insightful analysis of the current events, complete 3D and two-phase CFD models have been developed for both PEFCs with metal foam and serpentine channel flow fields. The results of the simulation are used to perform a careful examination of the transport phenomena inside the proposed metal foam flow field and compare it with the serpentine type. As far as we know, experimental research about the metal foam flow field behavior that is enriched and analyzed by a complete CFD model is scarce in the literature. Thus, the current paper plays a crucial role in introducing transport phenomena inside these flow fields and the distinction and superiority of metal foams over conventional serpentine flow fields.
Figure 1.
SEM images from top and side views of Foam I-Cu and Foams I-Ni to V-Ni.
Figure 1.
SEM images from top and side views of Foam I-Cu and Foams I-Ni to V-Ni.
Figure 2.
PEFC single cell implemented in this study.
Figure 2.
PEFC single cell implemented in this study.
Figure 3.
Domain geometry and grid discretization implemented in the present study, with flow fields of conventional serpentine and metal foam.
Figure 3.
Domain geometry and grid discretization implemented in the present study, with flow fields of conventional serpentine and metal foam.
Figure 4.
The performance curves obtained from the experimental tests to compare the implementation of different metal foams on the cathode side; (a) Polarization curves and (b) Power density curves.
Figure 4.
The performance curves obtained from the experimental tests to compare the implementation of different metal foams on the cathode side; (a) Polarization curves and (b) Power density curves.
Figure 5.
The performance curves obtained from the experimental tests to compare the implementation of nickel foams (Foam IV-Ni and Foam V-Ni) with serpentine flow field on the cathode side; (a) Polarization curves, and (b) Power density curves.
Figure 5.
The performance curves obtained from the experimental tests to compare the implementation of nickel foams (Foam IV-Ni and Foam V-Ni) with serpentine flow field on the cathode side; (a) Polarization curves, and (b) Power density curves.
Figure 6.
EIS analysis of PEFC with Foams IV-Ni and V-Ni at (a) V = 0.7 V and (b) V = 0.4 V.
Figure 6.
EIS analysis of PEFC with Foams IV-Ni and V-Ni at (a) V = 0.7 V and (b) V = 0.4 V.
Figure 7.
Effect of relative humidity on polarization curve of PEFCs with Foams IV-Ni, V-Ni, and serpentine flow fields at (a) RH = 75%, (b) RH = 30%.
Figure 7.
Effect of relative humidity on polarization curve of PEFCs with Foams IV-Ni, V-Ni, and serpentine flow fields at (a) RH = 75%, (b) RH = 30%.
Figure 8.
Effect of relative humidity on power density curve of PEFCs with Foams IV-Ni, V-Ni, and serpentine flow fields at (a) RH = 75%, (b) RH = 30%.
Figure 8.
Effect of relative humidity on power density curve of PEFCs with Foams IV-Ni, V-Ni, and serpentine flow fields at (a) RH = 75%, (b) RH = 30%.
Figure 9.
The validation of the polarization curves obtained from the present experimental studies and numerical simulation for PEFCs with Foam V-Ni distributor and serpentine flow-field.
Figure 9.
The validation of the polarization curves obtained from the present experimental studies and numerical simulation for PEFCs with Foam V-Ni distributor and serpentine flow-field.
Figure 10.
Contours of oxygen mass fraction in the case of nickel Foam V flow field to analyze the uniformity of reactant; (a) along the mid-plane of cathode side metal foam/channel distributor, (b) along the mid-plane of the catalyst layer.
Figure 10.
Contours of oxygen mass fraction in the case of nickel Foam V flow field to analyze the uniformity of reactant; (a) along the mid-plane of cathode side metal foam/channel distributor, (b) along the mid-plane of the catalyst layer.
Figure 11.
Comparison of PEFC with foam and serpentine flow fields: (a) contours of current density along the mid-plane of cathode catalyst later; (b) contours of pressure along the mid-plane of Foam V-Ni/serpentine channel distributor.
Figure 11.
Comparison of PEFC with foam and serpentine flow fields: (a) contours of current density along the mid-plane of cathode catalyst later; (b) contours of pressure along the mid-plane of Foam V-Ni/serpentine channel distributor.
Figure 12.
Contours of oxygen mass fraction in the case nickel Foam V distributor for cell voltage of 0.6, 0.5, and 0.4 V; (a) along the mid-plane of Foam V-Ni distributor, (b) along the mid-plane of the cathode catalyst layer.
Figure 12.
Contours of oxygen mass fraction in the case nickel Foam V distributor for cell voltage of 0.6, 0.5, and 0.4 V; (a) along the mid-plane of Foam V-Ni distributor, (b) along the mid-plane of the cathode catalyst layer.
Table 1.
The designed metal foams were used in this study.
Table 1.
The designed metal foams were used in this study.
Foam type |
Material |
Housing plate material |
Initial thickness (mm) |
Final thickness (mm) |
CR (%) |
Foam I-Cu |
Copper |
Graphite |
1 |
1 |
0 |
Foam I-Ni |
Nickel |
Graphite |
1 |
1 |
0 |
Foam II-Ni |
Nickel |
Graphite |
1.7 |
1 |
40 |
Foam III-Ni |
Nickel |
Graphite |
3.4 |
1 |
70 |
Foam IV-Ni |
Nickel |
SS-304 |
3.4 |
1 |
70 |
Foam V-Ni |
Nickel |
SS-304 |
1.7 |
0.5 |
70 |
Table 2.
Governing equations.
Table 2.
Governing equations.
Mass |
|
(1) |
Momentum |
where, the Forchheimer coefficient, , is only considered for metal foam and is vanished for all other porous layers. The effective porosity and permeability in porous layers are calculated as follows:
|
(2) |
Species |
where, the effective diffusivity is calculated as:
|
(3) |
Energy |
that, the effective thermal conductivity is calculated as: , where kl is the thermal conductivity of liquid water, and kg is the thermal conductivity of gas mixture which is calculated by the ideal-gas-mixing-law. |
(4) |
electric charges |
|
(5) |
Protonic charges |
where, the volumetric electrochemical reaction rate is considered by the Butler-Volmer relation:
|
(6) |
Liquid water |
where, the water saturation diffusivity (capillary diffusivity) is calculated by: , , in which is capillary pressure computed by the Leverett function: , where is liquid-gas surface tension, |
(7) |
Dissolved-water |
where, the dissolved water diffusion coefficient is calculated by:
|
(8) |
Table 3.
Summary of the cel’s geometrical, electrochemical, material/structural, and transport parameters; and operating conditions.
Table 3.
Summary of the cel’s geometrical, electrochemical, material/structural, and transport parameters; and operating conditions.
Parameter |
Symbol |
Unit |
Value |
Geometrical |
|
|
|
Active area |
A |
mm2
|
|
Flow-field configuration |
|
|
a) Control sample: single serpentine channel for both anode and cathode electrodes b) Intervention group: single serpentine channel for anode and metal foam for cathode electrodes |
Channel width |
|
mm |
0.8 |
Channel height |
|
mm |
1 |
Rib width |
|
mm |
0.8 |
GDL thickness |
|
µm |
200 |
Metal foam thickness |
|
mm |
1 |
Catalyst layers (CL) thickness |
|
µm |
15 |
Membrane thickness |
|
µm |
25 |
Current collector thickness |
|
mm |
0.5 |
Electrochemical |
|
|
|
Open circuit voltage |
|
V |
0.945 |
Active surface-to-volume ratio |
|
m2 m-3
|
200,000 |
Anode ref. current density, |
|
A m-2
|
500,000 |
Cathode ref. current density, |
|
A m-2
|
5000 |
Anode concentration exponent |
|
- |
0.5 |
Cathode concentration exponent |
|
- |
1 |
Hydrogen ref. concentration, |
|
kmol m-3
|
1 |
Oxygen ref. concentration, |
|
kmol m-3
|
1 |
Anode exchange coefficient, |
,
|
- |
0.85 |
Cathode exchange coefficient, |
,
|
- |
0.85 |
Faraday constant |
F |
C mol-1
|
96,485.3 |
Material/structural |
|
|
|
Density of GDL, solid part of Foam, CL, Mem, CC |
, , , ,
|
kg m-3
|
2719 Cu: 8978/ Ni: 8900 2719 1980 2719 |
Density of liquid water |
|
kg m-3
|
998.2 |
Specific heat of GDL, solid part of Foam, CL, Mem, CC |
, , , ,
|
J kg-1 K-1
|
871 Cu: 381/ Ni:460.6 871 2000 871 |
Equivalent weight of the membrane |
EW |
kg (kmol)-1
|
2100 |
Porosity of GDL, Foam, CL |
, ,
|
- |
0.8 0.85 0.47 |
Viscous resistance (inverse of permeability) of GDL, Foam, CL |
|
m-2
|
|
Contact angle of GDL, Foam, CL (for water droplet) |
, ,
|
O |
92 145 92 |
Inertial resistance of Foam |
|
m-1
|
2100 |
Molar volume of water |
|
m 3 mol -1 |
|
Molar volume of membrane |
|
m 3 mol -1 |
|
Transport properties |
|
|
|
Reference hydrogen diffusivity |
|
m2 s-1
|
|
Reference oxygen diffusivity |
|
m2 s-1
|
|
Reference vapor diffusivity |
|
m2 s-1
|
|
Hydrogen thermal conductivity |
|
W m-1 K-1
|
0.1672 |
Oxygen thermal conductivity |
|
W m-1 K-1
|
0.0246 |
Vapor thermal conductivity |
|
W m-1 K-1
|
0.0261 |
Hydrogen viscosity |
|
kg m-1 s-1
|
|
Oxygen viscosity |
|
kg m-1 s-1
|
|
Vapor viscosity |
|
kg m-1 s-1
|
|
Liquid water viscosity |
|
kg m-1 s-1
|
|
Thermal conductivity of GDL, Foam, CL, Mem, CC, |
,
, ,
|
W m-1 K-1
|
10 Cu: 387.6/ Ni: 91.74 10 2 100 |
Electrical conductivity of GDL, Foam, CL, Mem, CC |
, , , ,
|
S m-1
|
5000 Cu: / Ni: 5000
|
Operating Conditions |
|
|
|
Relative humidity at anode/cathode inlets |
,
|
% |
100 |
Operating temperature |
,
|
oC |
80 |
Operating pressure |
P |
bar |
1 |
Stoichiometry coefficient at anode/cathode inlets |
,
|
|
1.3, 1.5 |
Table 4.
Quantitative summary of the experimental tests.
Table 4.
Quantitative summary of the experimental tests.
Flow field type |
Limiting current density |
Maximum power density |
Value mA cm-2
|
Improve rate |
Value mW cm-2
|
Improve rate |
Serpentine channels |
2140 |
1.00 |
901 |
1.00 |
Foam I-Cu |
1820 |
0.85 |
701 |
0.78 |
Foam I-Ni |
2580 |
1.21 |
684 |
0.76 |
Foam II-Ni |
2710 |
1.27 |
774 |
0.86 |
Foam III-Ni |
2620 |
1.22 |
841 |
0.93 |
Foam IV-Ni |
2430 |
1.13 |
935 |
1.04 |
Foam V-Ni |
3110 |
1.45 |
989 |
1.10 |