Surface engineering of Ni-Al coatings through concentrated solar heat treatment

Roată, Ionuţ Claudiu; Croitoru, Cătălin; Pascu, Alexandru; Stanciu, Elena Manuela; Hulka, Iosif; Petre, Ioana Mădălina; Gabor, Camelia; Pătroi, Delia; Sbarcea, G.

doi:10.1016/j.apsusc.2019.144185

Cited by 6 publications

(1 citation statement)

References 39 publications

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“…The XRD pattern of NiO is Corresponds to JCPDS No. 47-104 [49]. The peaks at 12.9 • , 37.5 • , and 66.5 • belong to MnO 2 with crystal planes (110), (111), and (200).…”

Section: Characterizationmentioning

confidence: 99%

MnO₂–NiO–MWCNTs nanocomposite as a catalyst for methanol and ethanol electrooxidation

Shojaeifar¹,

Askari²,

Hashemi³

et al. 2022

J. Phys. D: Appl. Phys.

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The potential of metal oxide-based nanocatalysts and multi-walled carbon nanotubes (MWCNTs) for the methanol and ethanol electrooxidation process is studied in the attempt of introducing cheap and stable nanocatalysts for use in the alcohol oxidation process. In this regard MnO2-NiO (MN), and MnO2-NiO-MWCNT (MNM) are synthesized and characterized in terms of structure and morphology. The electrocatalytic activity of these materials is evaluated by electrochemical tests. MnO2-NiO-MWCNT show 90% cyclic stability after 1000 consecutive cycles in methanol oxidation reaction (MOR) and 86% in ethanol oxidation reaction (EOR) and maximum current densities of 262 and 148 μA/cm2 in methanol and ethanol electrooxidation, in scan rate of 10 mV/s respectively. Also, the onset potential of MnO2-NiO-MWCNT is lower than MnO 2 -NiO, indicating superior kinetics and facile oxidation of methanol due to the synergistic effect of adding MWCNTs to the structure of MnO2-NiO nanocatalyst. From these results, MnO2-NiO-MWCNT can be an attractive and inexpensive option for use in MOR and EOR process for application in alcohol fuel cells.

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“…The XRD pattern of NiO is Corresponds to JCPDS No. 47-104 [49]. The peaks at 12.9 • , 37.5 • , and 66.5 • belong to MnO 2 with crystal planes (110), (111), and (200).…”

Section: Characterizationmentioning

confidence: 99%