Abstract
Although advanced electroless nickel plating coating treatment technology can significantly improve the chemical surface hardness and corrosion resistance of nickel and magnesium alloys, it is prone to corrosion in the electroless plating bath of nickel and magnesium and directly affects the corrosion performance of electroless nickel plating coating. The purpose of this paper is to analyze the composition of electroless nickel plating solution and its stability in electroless nickel plating solution by combining with intelligent network algorithm, so as to obtain a formula of electroless nickel plating solution of magnesium alloy with high chemical stability and strong buffering capacity. This article mainly through scanning electron energy dispersive X-ray spectroscopy, X-ray diffractometer and electrochemical testing and other modern chemical detection equipment and technologies for magnesium alloy chemical nickel plating layer of the macroscopic surface morphology, microstructure, deposition rate, deposition potential, deposition current various chemical parameters such as the dynamic characterization and electrochemical testing, the initial process of the magnesium alloy electroless nickel plating is studied, pretreatment process, dynamic equation and the electrochemical properties of plating solution, through the intelligent network processing data, the results can be found that the concentration of sulfuric acid >12 \( {\text{g}} \cdot {\text{dm}}^{ - 3} \) can increase the deposition rate.
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Acknowledgements
This work was supported by Research Project of Science and Technology Department of Shaanxi Province (No. 2018GY-199), Internet of Things and Intelligent Technology Innovation Team Construction Project for the Shaanxi Institute of International Trade & Commerce (No. SSY18TD05).
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Cheng, Y. (2021). Composition and Function Analysis of Electroless Nickel Plating Solution Based on Intelligent Network. In: Abawajy, J., Choo, KK., Xu, Z., Atiquzzaman, M. (eds) 2020 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2020. Advances in Intelligent Systems and Computing, vol 1244. Springer, Cham. https://doi.org/10.1007/978-3-030-53980-1_33
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DOI: https://doi.org/10.1007/978-3-030-53980-1_33
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