An experimental approach to evaluate drying kinetics and foam formation in inks for inkjet printing of fuel-cell layers

Santangelo, Paolo Emilio; Romagnoli, Marcello; Puglia, Marco

doi:10.1016/j.expthermflusci.2022.110631

Cited by 10 publications

(2 citation statements)

References 47 publications

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“…Disregarded in most surveys due to its sophistication, multiple droplet impacts (simultaneous, nonsimultaneous, and successive) on liquid films, liquid pools, and solid surfaces have numerous applications, including spray cooling 22 , inkjet printing 23 , spray coating 24 , desalination 25 , and so forth. Liang et al 26 studied the simultaneous and non-simultaneous impact of a droplet pair at room temperature.…”

Section: List Of Symbolsmentioning

confidence: 99%

Multi-objective optimization of multiple droplet impacts on a molten PCM using NSGA-II optimizer and artificial neural network

Faghiri

Poureslami

Aria

et al. 2023

Sci Rep

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Embracing an interaction between the phase change material (PCM) and the droplets of a heat transfer fluid, the direct contact (DC) method suggests a cutting-edge solution for expediting the phase change rates of PCMs in thermal energy storage (TES) units. In the direct contact TES configuration, when impacting the molten PCM pool, droplets evaporate, provoking the formation of a solidified PCM area (A). Then, they reduce the created solid temperature, leading to a minimum temperature value (Tmin). As a novelty, this research intends to maximize A and minimize Tmin since augmenting A expedites the discharge rate, and by lowering Tmin, the generated solid is preserved longer, resulting in a higher storage efficacy. To take the influences of interaction between droplets into account, the simultaneous impingement of two ethanol droplets on a molten paraffin wax is surveyed. Impact parameters (Weber number, impact spacing, and the pool temperature) govern the objective functions (A and Tmin). Initially, through high-speed and IR thermal imaging, the experimental values of objective functions are achieved for a wide range of impact parameters. Afterward, exploiting an artificial neural network (ANN), two models are fitted to A and Tmin, respectively. Subsequently, the models are provided for the NSGA-II algorithm to implement multi-objective optimization (MOO). Eventually, utilizing two different final decision-making (FDM) approaches (LINMAP and TOPSIS), optimized impact parameters are attained from the Pareto front. Regarding the results, the optimum amount of Weber number, impact spacing, and pool temperature accomplished by LINMAP and TOPSIS procedures are 309.44, 2.84 mm, 66.89 °C, and 294.98, 2.78 mm, 66.89 °C, respectively. This is the first investigation delving into the optimization of multiple droplet impacts for TES applications.

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Section: List Of Symbolsmentioning

confidence: 99%

Multi-objective optimization of multiple droplet impacts on a molten PCM using NSGA-II optimizer and artificial neural network

Faghiri

Poureslami

Aria

et al. 2023

Sci Rep

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“…As another type of MEA currently on the market are catalyst coated membranes (CCM). Among the most employed and effective methods to prepare CCM are ultrasonic spray atomization and inkjet printing [108][109][110][111]. MEA, prepared by those techniques, exhibits a higher performance level, compared to other techniques employed in the past (e.g., spin coating); they provide lower electrical resistance, emphasized proton transfer and reduced amount of platinum required.…”

Section: Additional Components Of the Membrane Electrode Assembly (Mea)mentioning

confidence: 99%

A Critical Review of Polymer Electrolyte Membrane Fuel Cell Systems for Automotive Applications: Components, Materials, and Comparative Assessment

2023

Self Cite

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The development of innovative technologies based on employing green energy carriers, such as hydrogen, is becoming high in demand, especially in the automotive sector, as a result of the challenges associated with sustainable mobility. In the present review, a detailed overview of the entire hydrogen supply chain is proposed, spanning from its production to storage and final use in cars. Notably, the main focus is on Polymer Electrolyte Membrane Fuel Cells (PEMFC) as the fuel-cell type most typically used in fuel cell electric vehicles. The analysis also includes a cost assessment of the various systems involved; specifically, the materials commonly employed to manufacture fuel cells, stacks, and hydrogen storage systems are considered, emphasizing the strengths and weaknesses of the selected strategies, together with assessing the solutions to current problems. Moreover, as a sought-after parallelism, a comparison is also proposed and discussed between traditional diesel or gasoline cars, battery-powered electric cars, and fuel cell electric cars, thus highlighting the advantages and main drawbacks of the propulsion systems currently available on the market.

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Technological barriers to digital printing in textiles: a study

Hasan

2023

Digital Textile Printing

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An experimental approach to evaluate drying kinetics and foam formation in inks for inkjet printing of fuel-cell layers

Cited by 10 publications

References 47 publications

Multi-objective optimization of multiple droplet impacts on a molten PCM using NSGA-II optimizer and artificial neural network

Multi-objective optimization of multiple droplet impacts on a molten PCM using NSGA-II optimizer and artificial neural network

A Critical Review of Polymer Electrolyte Membrane Fuel Cell Systems for Automotive Applications: Components, Materials, and Comparative Assessment

Technological barriers to digital printing in textiles: a study

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