Microstructure evolution, property analysis, and interface study of 3%CF-3%SiC-10%SiC functional gradient aluminum matrix composites

Guo, Ying; Li, Wenquan; Liu, Xingang; Sugio, Kenjiro; Liu, Wenchuang; Suzuki, Ayako S.; Sasaki, Gen

doi:10.1016/j.msea.2023.145010

Cited by 9 publications

(3 citation statements)

References 28 publications

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Section: Experimental Results Of Optimal Main Parametersmentioning

confidence: 99%

“…This underscores the crucial role of the composite's structure in determining its mechanical properties and overall functionality [68]. By tailoring the distribution of SiC particles within the composite material, it is possible to enhance the performance of the outer zone of the composite material, which can have important practical applications in various industries, including automotive and aerospace engineering [69,70]. In discussing the uncertainty and errors of experimental results for functionally graded Al/SiC composites, it is crucial to evaluate potential sources of uncertainty and error in the experimental setup and data analysis.…”

Section: Experimental Results Of Optimal Main Parametersmentioning

confidence: 99%

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Optimization and Characterization of Centrifugal-Cast Functionally Graded Al-SiC Composite Using Response Surface Methodology and Grey Relational Analysis

et al. 2023

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In this study, an optimization approach was employed to determine the optimal main parameters that improve the performance of functionally graded composites manufactured using a combination of stirring and horizontal centrifugal casting. Pure aluminum reinforced with silicon carbide particles was used as the material for the composites. The effects of key input parameters such as mold speed, pouring temperature, stirring speed, and radial distance were optimized using a combination of grey relational analysis and response surface methodology. The statistical significance of the predicted grey relational grade model was assessed through an analysis of variance to identify the appropriate main parameters. The results showed that radial distance had the greatest impact on the performance of the composites, followed by pouring temperature. The optimal combination of main parameters was determined to be a mold speed of 1000 rpm, a pouring temperature of 750 °C, a stirring speed of 150 rpm, and a radial distance of 1 mm. Confirmation tests using these optimal values resulted in a 54.69% improvement in the grey relational grade.

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Section: Experimental Results Of Optimal Main Parametersmentioning

confidence: 99%

Section: Experimental Results Of Optimal Main Parametersmentioning

confidence: 99%

Optimization and Characterization of Centrifugal-Cast Functionally Graded Al-SiC Composite Using Response Surface Methodology and Grey Relational Analysis

et al. 2023

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“…The progressive alteration in characteristics may be adapted to suit particular uses, such as those requiring high bulk toughness and wear resistance. 5,6 Among the FGM materials, functionally graded Al matrix composites are the most preferred due to their applications in various fields like aerospace, where they are used in manufacturing aircraft fuselages and wings, engine pistons and parts, automobile drive shafts, etc, due to their excellent properties. [7][8][9] Aluminum and its alloys are generally strengthened using many reinforcements, such as Al 2 O 3 , 10 SiC, 11 B 4 C, 12 ZrO 2 , 13 NbC, 14 and VC, 15 depending on the expected property requirements.…”

mentioning

confidence: 99%

Fabrication and Characterization of Functionally Graded Nanocomposites: Impact of Graphene and Vanadium Carbide on Aluminum Matrix

Moustafa,

Said,

Aljabri

et al. 2024

ECS J. Solid State Sci. Technol.

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Functional graded nanocomposites (FGNCs) based on Al are artificially tailored heterogeneous materials intended to serve the demand for diverse and contradicting properties used in various industrial applications. FGNCs and hybrid FGNCs (HFGNCs) based on Al reinforced with graphene and vanadium carbide (VC) were prepared using powder metallurgy techniques and investigated. Both samples were designed with a gradient composition, where the bottom layer consisted of 100% pure Al, followed by three consecutive layers containing progressively increasing amounts of reinforcement. The incorporation of graphene and VC into layer powders resulted in a decrease in both particle and crystal dimensions compared to pure Al. Adding graphene has a negative effect on bulk density samples, while VC has a positive effect. Reinforcing materials led to a decrease in thermal conductivity that reached 26.7 % for samples reinforced with VC reinforcement, except for FGNCs reinforced with graphene, which increased by ~3.3 compared to Al. The samples’ CTE and electrical conductivity values decreased, although adding graphene alone led to a slight decrease in electrical conductivity. A significant improvement in all mechanical properties was noted with additional. The HFGCNs reinforced with the largest amount of hybrid reinforcement recorded an improvement in CTE value, Young's modulus, and compressive strength by about 38.1%, 22.2%, and 20.5%, respectively, compared to Al

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Study of the impact of metallic components Cu, Ni, Cr, and Mo on the microstructure of Al2O3–Cu–Me composites

Zygmuntowicz,

Maciągowska,

Piotrkiewicz

et al. 2024

Int J Adv Manuf Technol

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The study explores the microstructural design of hybrid Al2O3–Cu–Me composites formed by centrifugal slip casting into porous molds. Obtained composites are characterized by zones with different contents of metal phases. It was determined that there are two mechanisms driving thickening of slurries: capillary forces influencing smaller particles and centrifugal forces affecting larger particles. To enhance composite’s cracking toughness, a gradient distribution of metallic phase with highest metal concentration near surface is essential. This is achieved by optimizing ceramic powder size, limiting processing time, and using gel centrifugal casting to eliminate undesired zones. Zone II’s width is influenced by metallic phase proportion, mold rotation speed, and compaction rate, with heavier particles and greater metal content near outer surface. Zone III expands with lower rotational speeds and lighter metallic particles. The mutual reactivity and solubility of selected metallic elements also play a crucial role in the final microstructure. The findings highlight the potential for precise control over composite microstructures through careful selection of metallic elements, powder sizes, and casting parameters, offering valuable insights for model research and simulations.

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Microstructure evolution, property analysis, and interface study of 3%CF-3%SiC-10%SiC functional gradient aluminum matrix composites

Cited by 9 publications

References 28 publications

Optimization and Characterization of Centrifugal-Cast Functionally Graded Al-SiC Composite Using Response Surface Methodology and Grey Relational Analysis

Optimization and Characterization of Centrifugal-Cast Functionally Graded Al-SiC Composite Using Response Surface Methodology and Grey Relational Analysis

Fabrication and Characterization of Functionally Graded Nanocomposites: Impact of Graphene and Vanadium Carbide on Aluminum Matrix

Study of the impact of metallic components Cu, Ni, Cr, and Mo on the microstructure of Al2O3–Cu–Me composites

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