The
effect of binder and compression on the transport parameters
of the multilayer gas diffusion layer (GDL) is numerically studied
by the lattice Boltzmann method. A stochastic algorithm is implemented
to generate three multilayer GDLs with a porosity gradient and a uniform
GDL, and then, the GDLs are compressed after the binder is added to
obtain structures with various binder volume fractions and various
compression ratios. The pore size distribution, through-plane (TP)
permeability, in-plane (IP) permeability, tortuosity, and electric
conductivity of the four structures of GDLs are analyzed. The pore
size distributions of GDLs move toward smaller pores due to compression,
and the GDL with a larger porosity gradient has a larger maximum pore
size. The TP permeability decreases with the increase of compression
ratio and binder volume fraction, and the TP permeability of the four
GDLs decreases similarly due to compression, but the TP permeability
of the multilayer GDL with a larger porosity gradient drops more due
to the binder. IP permeability is slightly affected by the compression.
Similar to TP permeability, the IP permeability of the multilayer
GDL with a large porosity gradient decreases more due to the binder.
Multilayer GDL with a small porosity gradient has a smaller tortuosity,
more superior pore connectivity, and thus more outstanding gas permeability.
The electric conductivity increases with the increase in compression
ratio and binder volume fraction.