Effect of current density on the microstructure and properties of supercritical Ni-FG composite electrodeposited layers
Source abstract
Abstract
This study investigates the surface morphology and microstructure of nickel (Ni) plating and nickel-fluorinated graphene (Ni-FG) composite plating, both produced using a direct current (DC) power supply under standard and supercritical conditions. The findings reveal that the Ni-FG composite plating created under supercritical conditions can incorporate more fluorinated graphene (FG), with the carbon content reaching 0.727 wt%, surpassing the 0.155 wt% found in the plating produced by conventional electrodeposition. The supercritical plating also exhibits improved surface morphology, characterized by a smooth, defect-free surface. The grain size of the plating is notably smaller, averaging 7.39 nm, which is a reduction of over 59.6% compared to other plated layers, with grains predominantly oriented towards the (111) texture. The study focuses on comparing the surface morphology, microstructure, mechanical properties, and electrochemical characteristics of Ni-FG composite plating prepared at various current densities. Results indicate that at a current density of 5 A/dm 2 , the Ni-FG composite plating displays an exceptionally refined grain structure, with an average grain size of 7.39 nm. This plating layer exhibits excellent wear resistance, with a microhardness value of 772.2 HV 0.2 , a low coefficient of friction of 0.17, and a minimal wear volume of 1.890 × 10 7 μm 3 . Furthermore, the coatings produced at this current density exhibit exceptional corrosion resistance, as indicated by a film resistance (R coat ) of 13,850 Ω·cm 2 and an interface resistance (R ct ) of 10.96 × 10 4 Ω·cm 2 during the electrode oxidation process.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Electrodeposition and Electroless Coatings · Electronic Packaging and Soldering Technologies · Nanomaterials and Printing Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (53)
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