Author(s)

YiXian Yang

Affiliation(s)

School of Materials Science and Engineering, Changchun University of Technology, Changchun 130012, Jilin, China.

Corresponding Author

YiXian Yang

ABSTRACT

Carbon fiber reinforced aluminum matrix composites (Cf/Al) are highly sought after for their exceptional strength, modulus, and light weight, making them ideal for aerospace and automotive applications. However, the inherent differences in physical and chemical properties between carbon fibers and the aluminum matrix present significant challenges for achieving optimal interfacial bonding, ultimately limiting the composite's performance. This paper investigates strategies to enhance the interface in Cf/Al composites, with a particular focus on carbon fiber copper plating and wettability improvement methods. Experimental data analysis demonstrates the effectiveness of these methods in improving interfacial bonding and wettability, leading to enhanced overall mechanical properties, electrical conductivity, and corrosion resistance of the composites. The research underscores the critical role of interface optimization in unlocking the full potential of Cf/Al composites for broader applications in high-performance engineering sectors. Additionally, this paper explores various liquid-phase composite preparation processes, including diffusion bonding, pressure impregnation, and pressure less infiltration, comparing their advantages and limitations in terms of efficiency, cost, and composite properties. This review concludes by emphasizing the significance of interface optimization and highlighting the potential for further research in areas such as mechanism understanding, systematic studies, process optimization, environmental friendliness, and long-term performance stability to advance the field of high-performance composite materials.

KEYWORDS

Electroless plating; Cf/Al; Composite material; Wettability

CITE THIS PAPER

YiXian Yang. Performance optimization strategy for carbon fiber reinforced aluminum matrix composites. Eurasia Journal of Science and Technology. 2025, 7(1): 38-43. DOI: https://doi.org/10.61784/ejst3065.

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