02096nas a2200277 4500008004100000022001400041245012500055210006900180260007400249300001200323490000700335520113600342653001901478653003801497653000801535653000801543653001001551100002101561700002301582700001501605700001401620700002201634700001801656700002201674856012201696 2008 eng d a0021-891X00a2(7-3) fractional factorial optimization of polybenzimidazole based membrane electrode assemblies for H-2/O-2 fuel cells0 a273 fractional factorial optimization of polybenzimidazole based aVAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDSbSPRINGERcMAY a583-5900 v383 a
We describe the usefulness of a statistical fractional factorial design to obtain consistent and reproducible behavior of a membrane-electrode-assembly (MEA) based on a phosphoric acid (PA) doped polybenzimidazole (PBI) membrane, which allows a H-2/O-2 fuel cell to operate above 150 degrees C. Different parameters involved during the MEA fabrication including the catalyst loading, amount of binder, processing conditions like temperature and compaction load and also the amount of carbon in the gas diffusion layers (GDL) have been systematically varied according to a 2(7-3) fractional factorial design and the data thus obtained have been analyzed using Yates's algorithm. The mean effects estimated in this way suggest the crucial role played by carbon loading in the gas diffusion layer, hot compaction temperature and the binder to catalyst ratio in the catalyst layer for enabling continuous performance. These statistically designed electrodes provide a maximum current density and power density of 1,800 mA cm(-2) and 280 mW cm(-2), respectively, at 160 degrees C using hydrogen and oxygen under ambient pressure.
10aCarbon loading10aFractional factorial optimization10aMEA10aPBI10aPEMFC1 aKannan, Ramaiyan1 aIslam, Md., Nazrul1 aRathod, D.1 aVijay, M.1 aKharul, Ulhas, K.1 aGhosh, P., C.1 aVijayamohanan, K. uhttp://library.ncl.res.in/content/27-3-fractional-factorial-optimization-polybenzimidazole-based-membrane-electrode-0