The Use of Stirring Methods for the Production of SiC-Reinforced Aluminum Matrix Composite and Validation Via Simulation Studies

Aybarç, Uğur; Yavuz, Hakan; Dışpınar, Derya; Seydibeyoğlu, M. Özgür

doi:10.1007/s40962-018-0250-3

Cited by 27 publications

(24 citation statements)

References 20 publications

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“…From the literature study, it was understood that the process parameters of the ultrasonication during stir-casting method play a prominent role in the uniform dispersion of reinforcement, and the mechanical and tribological properties of the hybrid MMCs. 26–30 Hence, it is essential to optimize the significant process parameters of the stir-casting process such as ultrasonic vibration time and depth of ultrasonication in the melt along with stirring speed of mechanical stirrer to achieve superior properties in the composites. In the present work, a multiobjective optimization work was carried out to investigate the effect of the ultrasonic-assisted stir-casting process parameters in physical (porosity), mechanical (tensile strength), and tribological (wear rate) properties of Al hybrid MMCs with the help of desirability function approach.…”

Section: Introductionmentioning

confidence: 99%

Optimizing the ultrasonication effect in stir-casting process of aluminum hybrid composite using desirability function approach and artificial neural network

Kamaraj

Hariharasakthisudhan²,

Moshi³

2021

Proceedings of the Institution of Mechanical Engineers, Part L:

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The ultrasonic-assisted stir-casting technique improves the uniform dispersion of nano-reinforcements in aluminum hybrid metal matrix composites. In the present study, the process parameters of the ultrasonic-assisted stir-casting method, such as ultrasonic vibration time, and depth of ultrasonic vibration along with the speed of mechanical stirrer, are optimized on A356 hybrid composite material optimally reinforced with aluminum nitride, multiwalled carbon nanotubes, graphite particles, and aluminum metal powder using the desirability function approach. The process parameters are optimized against the response factors such as porosity, ultimate tensile strength, and wear rate of the composites. The optimum combination of input factors is identified as stirring speed (600 r/min), ultrasonic vibration time (2 min), and depth of ultrasonic vibration (40 mm) among the selected range. The corresponding output response values are found to be porosity (1.4%), ultimate tensile strength (247 MPa), and wear rate (0.0013 mm3/min). The ANOVA results have revealed that depth of ultrasonic vibration showed significant contribution among the input factors. An artificial neural network model is developed and validated for the given set of experimental data.

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Section: Introductionmentioning

confidence: 99%

Optimizing the ultrasonication effect in stir-casting process of aluminum hybrid composite using desirability function approach and artificial neural network

Kamaraj

Hariharasakthisudhan²,

Moshi³

2021

Proceedings of the Institution of Mechanical Engineers, Part L:

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“…Bifilm analysis was conducted and the relationship between bifilm content and mechanical properties was discussed. Ultimate tensile strength and elongation values were used to calculate the Quality Index (QI) of A356 alloy as shown in the Equation 2 [22,23,36] [24]. So this index can be used to evaluate alloys properties.…”

Section: Introductionmentioning

confidence: 99%

Effect of Ultrasonic Treatment Parameters on Microstructural and Mechanical Properties of A356 Aluminum Alloy

Aybarç¹,

Dokumacı

Önel

2020

International Journal of Automotive Science and Technology

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The aim of this study is to investigate the effect of ultrasonic treatment on the microstructural and mechanical properties of A356 aluminum al-loy. Ultrasonic treatment was applied to 2 kg and 4 kg molten metals at different melting temperatures (700 oC, 720 oC and 740 oC) for different durations (0, 60, 180 and 300 seconds). Bifilm indices of the samples were also measured after all parameters were tested. The ultimate tensile strength (UTS) and elongation values were used to calculate the Quality Index (QI) of the samples. According to the results, the amount of liquid metal directly affects the the ultrasonic intensity that is produced during the treatment. Maximum UTS and elongation results were determined at 720 oC during 300 seconds for 4 kg casting. Minimum bifilm density val-ue was measured at the same ultrasonic temperature and time.

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“…Graphene was first introduced in 1994 by Boehm [3] where the properties are summarized in Table 1. The studies and the results [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] obtained for the production of graphite reinforced Al composites between the years 2010-2015 are summarized in the Table2. As can be seen, most commonly used method for the production of graphene reinforced composites were powder metallurgy.…”

Section: Introductionmentioning

confidence: 99%

Bending Properties of Graphene Reinforced Aluminium Matrix Composite Produced by Casting Process

Dışpınar

2020

MCMS

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The use of graphene as reinforcement for many materials has become popular due to the enhanced properties it has. In this work, different casting methods were aimed to be used in order to produce graphene reinforced aluminum matrix composites. Sand casting, lost foam casting, die casting and squeeze casting methods were used. Graphene was added as layers and also in aluminum foils for incorporation of the reinforcer to the matrix. It was found that squeeze casting was the best method for the production of composite. Bending strength was increased 25-50% for 0.1 wt% graphene added A356 alloy.

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The Use of Stirring Methods for the Production of SiC-Reinforced Aluminum Matrix Composite and Validation Via Simulation Studies

Cited by 27 publications

References 20 publications

Optimizing the ultrasonication effect in stir-casting process of aluminum hybrid composite using desirability function approach and artificial neural network

Optimizing the ultrasonication effect in stir-casting process of aluminum hybrid composite using desirability function approach and artificial neural network

Effect of Ultrasonic Treatment Parameters on Microstructural and Mechanical Properties of A356 Aluminum Alloy

Bending Properties of Graphene Reinforced Aluminium Matrix Composite Produced by Casting Process

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