2019
DOI: 10.1016/j.energy.2018.12.143
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Visualization of liquid water in a lung-inspired flow-field based polymer electrolyte membrane fuel cell via neutron radiography

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Cited by 94 publications
(62 citation statements)
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“…Graphite based flow-fields are used in this study, making the system representative of many fuel cell systems. However, it is well known that the nature of the channel wall material (specifically its roughness, and hydrophilic/phobic nature, can affect the way in which water wets and accumulates in channels [46], [47]. This must, therefore, be considered when considering the water management of any…”
Section: Resultsmentioning
confidence: 99%
“…Graphite based flow-fields are used in this study, making the system representative of many fuel cell systems. However, it is well known that the nature of the channel wall material (specifically its roughness, and hydrophilic/phobic nature, can affect the way in which water wets and accumulates in channels [46], [47]. This must, therefore, be considered when considering the water management of any…”
Section: Resultsmentioning
confidence: 99%
“…The advantages of the 3D lung-inspired design compared to the serpentine design (Trogadas et al, 2018) were: (i) low pressure drop (minimum entropy production); (ii) uniform reactant distribution for both low and high temperatures; (iii) high electrocatalyst stability; (iv) easy scalability. The disadvantage was that the design is more vulnerable for flooding than serpentine design (Cho et al, 2019).…”
Section: Lung-shaped Designsmentioning
confidence: 99%
“…1 (b)) makes it possible to distinguish which electrode the water belongs to. Liquid water is mainly found at the cathode (horizontal channels) with water accumulation occurring primarily in the open channel areas and some water transported to the anode via the electroosmotic drag [5], [6], [24].…”
Section: Resultsmentioning
confidence: 99%
“…Given the classic linear model in (5), the maximum likelihood estimation (MLE) is the most effective method for estimating a [22]. By the AWGN assumption, this is equivalent to minimizing the following loss function [22]: min ,  a y Ha (6) which is the so-called least-squares estimation (LSE), where || || represents the Euclidean norm.…”
Section: Supplementary Materialsmentioning
confidence: 99%