Optimization of Plating Parameters and Properties of Ultrasonic-Assisted Jet-Electrodeposited Ni-W-Al2O3 Nanocomposite Coatings

Ni-W-Al<sub>2</sub>O<sub>3</sub> nanocomposite coatings were fabricated using ultrasonic-assisted jet electrodeposition (UAJED) to improve the wear resistance of agricultural machinery parts. To find the best combination of process parameters, the response surface plotter, contour plotter, and pre-set plotter in the JMP (version Pro 14.3.0) software were employed to investigate the effects of various process parameters (jet rate, Al<sub>2</sub>O<sub>3</sub> content, and ultrasonic power) on the microhardness of the nanocomposite coatings. The surface morphology, microstructure, and properties of the coatings, which were prepared under various combinations of process parameters, were studied through scanning electron microscopy (SEM), an X-ray diffractometer (XRD), transmission electron microscopy (TEM), a microhardness tester, and tribemates to determine the optimal process parameters for creating Ni-W-Al<sub>2</sub>O<sub>3</sub> nanocomposite coatings. The results indicated that the jet rate, Al<sub>2</sub>O<sub>3</sub> content, ultrasonic power, interaction terms, and quadratic terms significantly influenced the microhardness of the coatings. The optimized process parameters using the JMP software were a jet rate of 3.71 m/s, Al<sub>2</sub>O<sub>3</sub> content of 15.38 g/L, and ultrasonic power of 210 W. Furthermore, the coatings produced under these optimal conditions showed low wear rates and friction coefficients, a refined grain size, a dense surface topology, and a high microhardness (724.9 HV).

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-03-07
DOI
https://doi.org/10.3390/ijms26062404
Citations
5
Primary Topic
Electrodeposition and Electroless Coatings
Type
article
Field-Weighted Citation Impact
3.65
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article

Optimization of Plating Parameters and Properties of Ultrasonic-Assisted Jet-Electrodeposited Ni-W-Al2O3 Nanocomposite Coatings

Mengyu Cao, Di Tian, Wei Li, Xue Guo
5 citations
International Journal of Molecular Sciences
Electrodeposition and Electroless Coatings
3.65
article

Optimization of Plating Parameters and Properties of Ultrasonic-Assisted Jet-Electrodeposited Ni-W-Al2O3 Nanocomposite Coatings

Mengyu Cao, Di Tian, Wei Li, Xue Guo
article en
5 citations

Abstract

Ni-W-Al<sub>2</sub>O<sub>3</sub> nanocomposite coatings were fabricated using ultrasonic-assisted jet electrodeposition (UAJED) to improve the wear resistance of agricultural machinery parts. To find the best combination of process parameters, the response surface plotter, contour plotter, and pre-set plotter in the JMP (version Pro 14.3.0) software were employed to investigate the effects of various process parameters (jet rate, Al<sub>2</sub>O<sub>3</sub> content, and ultrasonic power) on the microhardness of the nanocomposite coatings. The surface morphology, microstructure, and properties of the coatings, which were prepared under various combinations of process parameters, were studied through scanning electron microscopy (SEM), an X-ray diffractometer (XRD), transmission electron microscopy (TEM), a microhardness tester, and tribemates to determine the optimal process parameters for creating Ni-W-Al<sub>2</sub>O<sub>3</sub> nanocomposite coatings. The results indicated that the jet rate, Al<sub>2</sub>O<sub>3</sub> content, ultrasonic power, interaction terms, and quadratic terms significantly influenced the microhardness of the coatings. The optimized process parameters using the JMP software were a jet rate of 3.71 m/s, Al<sub>2</sub>O<sub>3</sub> content of 15.38 g/L, and ultrasonic power of 210 W. Furthermore, the coatings produced under these optimal conditions showed low wear rates and friction coefficients, a refined grain size, a dense surface topology, and a high microhardness (724.9 HV).

International Journal of Molecular SciencesVol. 26(6)
Northeast Petroleum University (CN)
Zero hunger
Openalex Percentile: Top 8%
Electrodeposition and Electroless Coatings
3.65
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