Optimization of Stir Casting Variables for Production of Multiwalled Carbon Nanotubes: AA7149 Composite

Refaai, Mohamad Reda A.; Ravi, S.; Prasath, S.; Maridurai, Thirupathy; Subbiah, Ram; Diriba, Abdi

doi:10.1155/2022/2535470

Cited by 5 publications

(2 citation statements)

References 30 publications

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“…Karthik et al [12] optimized the squeeze casting process parameters (squeeze pressure load, die and melt temperature) of AA2219 alloy for density and hardness using Taguchi method. Refaai et al [13] optimized the stir casting variables (contents of multiwalled carbon nanotubes and magnesium, and stirring time) for the hardness and ultimate tensile strength of AA7149 alloy in production of multiwalled carbon nanotubes AA7149 composite using Taguchi method.…”

Section: Introductionmentioning

confidence: 99%

Multi-attribute optimization and influence assessment methodology of casting process parameters combined with integrated MADM and Taguchi method

Yang,

Kim

et al. 2023

Int J Adv Manuf Technol

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Many practical casting process optimization problems are ascribable to multi-attribute optimization problems with multiple conflicting quality attributes. This paper proposes a reasonable multi-attribute optimization and influence assessment methodology of casting process parameters combined with integrated multi-attribute decision making (MADM) and Taguchi method. The proposed methodology consists of the following steps:(1) design experiment arrangement based on Taguchi orthogonal array, and measure the multiple quality attributes of the castings at every experimental trials, (2) calculate the comprehensive quality score (CQS) values of the experimental trials using some MADM methods, (3) calculate the final CQS (FCQS) values of the experimental trials by integrating the CQS values from some MADM methods (Integrated MADM method), (4) calculate the mean FCQS values of the casting process parameters at the different levels, (5) calculate the ranges of mean FCQS values and influence indices of the casting process parameters, and (6) determine optimal casting process parameters to maximize the comprehensive quality of the castings. The proposed methodology is applied to optimize the casting process parameters and assess their influences for A356 aluminum alloy sand casting to illustrate its effectiveness. The methodology could be widely used to many practical casting process optimization problems.

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Section: Introductionmentioning

confidence: 99%

Multi-attribute optimization and influence assessment methodology of casting process parameters combined with integrated MADM and Taguchi method

Yang,

Kim

et al. 2023

Int J Adv Manuf Technol

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“…Incorporating CNTs into nanocomposites can substantially improve their mechanical and electrical properties, despite the obstacles encountered. 35 Chemical vapor deposition is a viable method for producing high-quality CNTs on a large scale and at a low cost, making CNTs a strong competitor for many new applications. 36 Despite the significant advancements in the field of MMCs, there remain several areas of research that require attention in order to z E-mail: qasimmurtaza@dce.ac.in; pgupta7@amity.edu ECS Journal of Solid State Science and Technology, 2023 12 107001 address limitations.…”

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confidence: 99%

Phase, Microstructure, and Tensile Strength of Al6351-Graphite-WC Hybrid Metal Matrix Composites

Ali,

Murtaza,

Gupta

2023

ECS J. Solid State Sci. Technol.

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This study investigates the microstructure and mechanical characteristics of Al6351-based hybrid metal matrix composites reinforced with Graphite and Tungsten carbide(WC) (0.5-0.5, 1.0-1.0, 1.5-1.5, and 2.0-2.0 wt%). The liquid metallurgy route method was used to prepare the hybrid composites, and the microstructure and material performance were characterized by using scanning electron microscopy, X-ray diffraction, impact, hardness, and tensile testing. According to the findings, incorporating graphite and tungsten carbide into the composite led to enhancements in both microstructure and mechanical properties. The sample reinforced with 1 wt% Gr and 1 wt% TiC carbide demonstrated the highest tensile strength, yield strength, and elongation. The highest recorded value of Engg. UTS and Rockwell hardness were 199.2 N/mm2 and 76 HRC, respectively. On the other hand, the composite that contained 0.5 wt% graphite and 0.5 wt% tungsten carbide of both reinforcements exhibited the best toughness as 28 joules, among all the samples that were produced. The lowest density was observed with 2 wt% Gr and 2 wt% TiC of each reinforcement as 2.62 g/cc. A uniform dispersion of reinforcement particles was observed. The findings of this study suggest potential applications of hybrid MMCs reinforced with graphite and tungsten carbide in the aerospace and automotive industries.

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An experimental analysis on sliding wear characteristics of TIG-welded Al6061 reinforced with SiC

P. K.,

B. R. N.,

Hiremath

et al. 2024

AIP Advances

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In this paper, metal matrix composites of Al6061 strengthened with 6 wt. % SiC were produced by stir casting and further subjected to the Tungsten Inert Gas (TIG) welding fabrication process using ER5356 as the filler material. The effect of TIG welding on hardness and wear resistance was studied by varying current at 150, 170, and 200 A. Samples of cast composite as per ASTM standards were prepared. Hardness tests on TIG-welded composite were carried out on the base, heat-affected, and weld zones. The test results showed higher hardness with an increase in welding current. Sliding wear properties were explored using the pin-on-disc machine. The wear rate and weight loss decreased as the welding current increased. The surface morphological images obtained through SEM indicated that the wear in the non-welded specimen was due to abrasion and delamination, whereas that of the welded specimen showed a reduced delamination and lower wear rate.

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Optimization of Stir Casting Variables for Production of Multiwalled Carbon Nanotubes: AA7149 Composite

Cited by 5 publications

References 30 publications

Multi-attribute optimization and influence assessment methodology of casting process parameters combined with integrated MADM and Taguchi method

Multi-attribute optimization and influence assessment methodology of casting process parameters combined with integrated MADM and Taguchi method

Phase, Microstructure, and Tensile Strength of Al6351-Graphite-WC Hybrid Metal Matrix Composites

An experimental analysis on sliding wear characteristics of TIG-welded Al6061 reinforced with SiC

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