Reinforcing effect of multi-walled carbon nanotubes on microstructure and mechanical behavior of AA5052 composites assisted by in-situ TiC particles

Samal, Priyaranjan; Vundavilli, Pandu R.; Meher, Arabinda; Mahapatra, Manas Mohan

doi:10.1016/j.ceramint.2021.12.029

Cited by 26 publications

(11 citation statements)

References 38 publications

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“…Researchers use a wide variety of reinforcements to enhance the properties of the composite, such as SiC, ZrO 2 , TiC, B 4 C, TiO 2 , ZrB 2 . [3][4][5][6][7][8] Among ceramic particles, TiO 2 is the most suitable reinforcing material to obtain the desired physical and mechanical properties as it enhances strength, shows superior hardness, has better corrosion and wear resistance. There are numerous techniques for fabricating nano-metal matrix composite, such as solidstate casting, centrifugal casting, stir casting and squeeze casting.…”

Section: Introductionmentioning

confidence: 99%

Influence of nano-TiO₂ particles on the microstructure, mechanical and wear behaviour of AA7178 alloy matrix fabricated by stir casting technique

Bharat

Bose

2022

Proceedings of the Institution of Mechanical Engineers, Part L:

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The current study focuses on the influence of varying wt% of nano-TiO2 particles (1%, 2% and 3%) on the microstructure, mechanical and tribological properties of AA7178 alloy matrix composite produced by stir casting method. The grain boundaries of the prepared composites were revealed using an optical microscope. The uniform distribution of nano-TiO2 particles in the alloy matrix was observed by scanning electron microscope. X-ray diffraction verified the existence of reinforced nano-TiO2 particulates in the samples, and microstructural images revealed a consistent distribution of reinforcements in the matrix. The formation of more refined grains from coarser grains was observed using electron backscatter diffraction analysis. The texture analysis revealed the presence of dominant A and A2* components with a maximum intensity of 5.137. Fractography disclosed that the reinforcements did not peel away from the alloy matrix, and the form of failure was both brittle and ductile. Abrasive wear was observed for the worn-out surface of the nanocomposites. It was observed that by increasing wt% of TiO2 nanoparticles, the mechanical and tribological properties of the alloy matrix increased compared to the base alloy. The optimum mechanical and tribological properties were obtained at 2 wt% of nano-TiO2 particulates.

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Section: Introductionmentioning

confidence: 99%

Influence of nano-TiO₂ particles on the microstructure, mechanical and wear behaviour of AA7178 alloy matrix fabricated by stir casting technique

Bharat

Bose

2022

Proceedings of the Institution of Mechanical Engineers, Part L:

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“…The results of regression analysis revealed that a strong relationship existed between the KTA and SR with an R 2 of 95.43. The estimation model developed to determine the KTA depending on the SR after the regression analysis is presented in equation (2).…”

Section: Resultsmentioning

confidence: 99%

“…Kerf taper angle, θ, = −0.2598 + 0.2427 × Ra 3 (2) where Ra 3 is the average SR at a distance of 3 mm from the top surface of the workpiece.…”

Section: Resultsmentioning

confidence: 99%

“…Aluminum metal matrix composites (AMMCs), which exhibit higher hardness and strength properties, better corrosion and wear resistance, and higher elastic modulus than conventional aluminum alloys, are frequently preferred in engineering applications, such as automotive and aerospace industries. [1][2][3] The development of light armor structures is critical for saving energy and increasing the mobility of defense systems. Light AMMCs, which are increasingly replacing steels with a high specific gravity in the defense industry, are formed by adding extremely hard reinforcements with excellent mechanical properties, such as SiC, Al 2 O 3 , and B 4 C, into the aluminum matrix.…”

Section: Introductionmentioning

confidence: 99%

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Effect of ceramic particle reinforcement type and process parameters on abrasive water jet processing of aluminum metal matrix composites fabricated by stir casting and hot rolling

Bilgin

2022

Proceedings of the Institution of Mechanical Engineers, Part E:

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In the present study, three AA6061 composites reinforced with 8% SiC, B4C, and Al2O3 were produced using the stir casting method. The composite specimens were molded in the thickness of 20 mm, and then the thicknesses of the samples were reduced to 7 mm by employing a hot rolling process at 450 °C. The effect of abrasive water jet cutting parameters such as nozzle speed (NS) and stand-off distance (SOD) on the kerf taper angle (KTA) and surface roughness (SR) were studied. The experiments were conducted based on the Taguchi L9 orthogonal array and the experimental results were analyzed by using the analysis of variance (ANOVA). The test results revealed that the most effective cutting variable on the KTA and SR was the type of reinforcement ceramic particle. The lowest KTA and the best SR values were recorded in the cutting of the Al2O3-reinforced composite specimen. The influence of the ceramic particle reinforcements on the SR and KTA was 60.6% and 65.1%, respectively. The effect ratio of the SOD, the second most effective process variable, to the SR is 28.1%, while the effect ratio to the KTA is 22.0%. Predictive models were developed for the KTA ( R2 = 93.29%) and SR ( R2 = 91.84) by the regression analysis. A close correlation with the ratio of 95.43% was achieved between the KTA and SR.

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“…Te network was educated using the most popular and efective approach for training, backpropagation error. According to authors [21], the Pearson correlation coefcient is the other artifcial neural network metric that demonstrates how successfully a network is trained. Te research shows that Pearson correlation coefcient values greater than 0.9 are considered satisfactory for this parameter [22].…”

Section: Implementation Of the Neural Networkmentioning

confidence: 99%

Study of Microstructure and Wear Resistance of AA5052/B4C Nanocomposites as a Function of Volume Fraction Reinforcement to Particle Size Ratio by ANN

Kumar

Balamurugan²,

Suresh³

et al. 2023

Journal of Chemistry

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The effects of the percentage volume of reinforcement, the ratio of reinforcement, and the matrix size of particles on the wear behavior of AA5052/B4C metal matrix composites (MMCs) examine. This research examines a model function developed from an artificial neural network (ANN). AA5052/B4C composites bent using a powder metallurgy technique to hardness and ball-on-disc wear testing. There are two exemptions such as (1) when the percentage volume of reinforcement is less than 8% and (2) when the ratio of reinforcement particle size (Rs) and matrix particle size (Ms) increases before decreasing. The results show that wear loss decreases with increasing percentage volume of reinforcement and ratio of Rs and Ms. In the second case, wear loss is increased at high levels of percentage volume (14%) since the proportion of reinforcement and matrix size of the particle is close to 1. When the volume percentage of reinforcement is high (14%) and the matrix and reinforcement particle sizes are substantial (120 m), the reinforcement particles become dislodged and break. Because these broken-up particles are easily removed from the surface, the material’s wear resistance is reduced. In this case, raising the volume fraction yields a uniformly higher hardness for all Rs/Ms values; hence, composites with lower reinforcement volume percentages show better wear resistance. Hardness and wear resistance have no relationship with one another.

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Reinforcing effect of multi-walled carbon nanotubes on microstructure and mechanical behavior of AA5052 composites assisted by in-situ TiC particles

Cited by 26 publications

References 38 publications

Influence of nano-TiO₂ particles on the microstructure, mechanical and wear behaviour of AA7178 alloy matrix fabricated by stir casting technique

Influence of nano-TiO₂ particles on the microstructure, mechanical and wear behaviour of AA7178 alloy matrix fabricated by stir casting technique

Effect of ceramic particle reinforcement type and process parameters on abrasive water jet processing of aluminum metal matrix composites fabricated by stir casting and hot rolling

Study of Microstructure and Wear Resistance of AA5052/B4C Nanocomposites as a Function of Volume Fraction Reinforcement to Particle Size Ratio by ANN

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Reinforcing effect of multi-walled carbon nanotubes on microstructure and mechanical behavior of AA5052 composites assisted by in-situ TiC particles

Cited by 26 publications

References 38 publications

Influence of nano-TiO2 particles on the microstructure, mechanical and wear behaviour of AA7178 alloy matrix fabricated by stir casting technique

Influence of nano-TiO2 particles on the microstructure, mechanical and wear behaviour of AA7178 alloy matrix fabricated by stir casting technique

Effect of ceramic particle reinforcement type and process parameters on abrasive water jet processing of aluminum metal matrix composites fabricated by stir casting and hot rolling

Study of Microstructure and Wear Resistance of AA5052/B4C Nanocomposites as a Function of Volume Fraction Reinforcement to Particle Size Ratio by ANN

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Influence of nano-TiO₂ particles on the microstructure, mechanical and wear behaviour of AA7178 alloy matrix fabricated by stir casting technique

Influence of nano-TiO₂ particles on the microstructure, mechanical and wear behaviour of AA7178 alloy matrix fabricated by stir casting technique