2019
DOI: 10.1016/j.jpowsour.2019.01.089
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Imaging of the desaturation of gas diffusion layers by synchrotron computed tomography

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Cited by 8 publications
(6 citation statements)
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“…The experiments were designed to emulate evaporative water removal from a saturated catalyst layer through the GDL into a gas channel and investigate the effects of temperature, gas flow, and evaporation domain size on the evaporation rates. An ex situ cell design [11,34] (Figure 1a) was chosen to assure controllability of the boundary conditions and compatibility with X-ray tomographic microscopy (XTM), which is commonly used to determine the distribution of water inside fuel cell GDLs [22,23,[34][35][36][37][38][39]. The configuration of water and GDL during the evaporation measurement can be seen in the XTM images in Figure 1b.…”
Section: Methodsmentioning
confidence: 99%
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“…The experiments were designed to emulate evaporative water removal from a saturated catalyst layer through the GDL into a gas channel and investigate the effects of temperature, gas flow, and evaporation domain size on the evaporation rates. An ex situ cell design [11,34] (Figure 1a) was chosen to assure controllability of the boundary conditions and compatibility with X-ray tomographic microscopy (XTM), which is commonly used to determine the distribution of water inside fuel cell GDLs [22,23,[34][35][36][37][38][39]. The configuration of water and GDL during the evaporation measurement can be seen in the XTM images in Figure 1b.…”
Section: Methodsmentioning
confidence: 99%
“…The artificial distribution of hydrophobic and hydrophilic GDL domains enables tailormade patterns of water filled lines with high levels of evaporation rates and necessitates a good understanding of the vapor removal mechanisms, ultimately limiting the rate of evaporation. Understanding the characteristic mechanisms and limitations to evaporative water removal in the framework of PEFCs and quantifying them has been the aim of many scientific works, both experimentally [21][22][23][24][25] and numerically [26][27][28][29][30][31][32]. However, the reported evaporation values show a wide spread [31,33] and some measurements performed on differential cell scales leave open questions of how evaporative flux scales with GDL thickness and gas type are used in the evaporation rate measurements, as reported by Lal et al [21].…”
Section: Introductionmentioning
confidence: 99%
“…In this study, we investigate the mechanisms of water accumulation to improve water management strategies in fuel cells. This understanding is facilitated by imaging techniques sensitive to water such as neutron and X-ray imaging. X-ray tomographic microscopy (XTM) specifically has shown great promise in small-scale studies focusing on interactions between the water and the GDL structure in the micrometer range and with increasingly higher temporal resolution. Recent developments in synchrotron-based XTM at the TOMCAT beamline of the Swiss Light Source (SLS) enable the observation of time-resolved (subsecond time resolution), dynamic processes in 3D occurring during cluster formation in operando fuel cells, while still maintaining a spatial resolution in the micrometer range. , …”
Section: Introductionmentioning
confidence: 99%
“…For dynamic water transfer processes, Zenyuk et al, (2016) visualized the water evaporation in several GDLs with gas flow rates of 200 and 600 ml/min at 30°C. The desaturation process in the GDL was also visualized by Battrell et al (Battrell et al, 2018;Battrell et al, 2019) for both global and localized GDL areas, with the gas flow rate at 50 ml/min.…”
Section: Introductionmentioning
confidence: 99%
“…Spernjak et al (Spernjak et al, 2007;Spernjak et al, 2010) experimentally investigated the liquid water formation and transport in a single-serpentine PEM fuel cell, and also compared the liquid water dynamics in parallel, serpentine, and interdigitated flow fields using neutron imaging and digital camera. Battrell et al (2019) quantitatively visualized the water removal in the GDL with serpentine gas channels, considering the effects of flow field geometry. Ding et al (2020) compared the cell performances of a parallel, interdigitated, and serpentine flow field with normal and wavelike channels using a three-dimensional, two-phase, non-isothermal model.…”
Section: Introductionmentioning
confidence: 99%