Effect of Al2O3 Particle Size on Mechanical Properties of Ultrasonic-Assisted Stir-Casted Al A356 Matrix Composites

Aybarç, Uğur; Ertuğrul, Onur; Seydibeyoğlu, M. Özgür

doi:10.1007/s40962-020-00490-7

Cited by 42 publications

(16 citation statements)

References 32 publications

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“…The tensile test and porosity test results were found to be similar to that of the Al MMCs reported in literature. 19,26,31…”

Section: Methodsmentioning

confidence: 99%

“…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%

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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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“…The tensile test and porosity test results were found to be similar to that of the Al MMCs reported in literature. 19,26,31…”

Section: Methodsmentioning

confidence: 99%

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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“…Additionally, the method on how the reinforcement particles are introduced is also considered an important variable that impacts the chemical bonding with the matrix. Given the popularity of the stir-casting process, most authors usually introduce the preheated particles wrapped in aluminium foil [93,[128][129][130][131][132] in the centre of an already formed vortex [68,75,79,82,90].…”

Section: Carrier Agentmentioning

confidence: 99%

“…Authors have stated that UST coupled with mechanical stirring improves the wettability and distribution of the particles reinforcements [68].…”

Section: Hybrid Processing Stirmentioning

confidence: 99%

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Manufacturing Methodology on Casting-Based Aluminium Matrix Composites: Systematic Review

Grilo

Carneiro

Teixeira

et al. 2021

Metals

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Ongoing industrial demand for lightweight materials has spiked the research interest in aluminium-based metal matrix composites for its specific properties. The amount of scientific publication available on the matter has led to the vast production of knowledge, which highlights the need for a systematic assessment if further progress is expected. In this paper, a systematic review of the published literature is conducted, according to the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, on the Scopus and Web of Science databases were used in the literature search, which was completed on the 29 August 2020. The data of the research work is structured in the particle pre-processing stage and the melt processing stage. The present review clarifies the combined pair-wise effect of particles and the melt treatment performed on their wettability or dispersive or de-agglomerative capability, which allows to achieve their final mechanical properties.

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Microstructure, Mechanical Properties and Tribological Behavior of A380/Nano-Hexagonal Boron Nitride Metal Matrix Composite

Singh

Alba-Baena

Trehan

et al. 2022

J. of Materi Eng and Perform

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Effect of Al2O3 Particle Size on Mechanical Properties of Ultrasonic-Assisted Stir-Casted Al A356 Matrix Composites

Cited by 42 publications

References 32 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

Manufacturing Methodology on Casting-Based Aluminium Matrix Composites: Systematic Review

Microstructure, Mechanical Properties and Tribological Behavior of A380/Nano-Hexagonal Boron Nitride Metal Matrix Composite

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