Analysis of Mechanical Properties for Al‐MMC Fabricated through an Optimized Stir Casting Process

Gugulothu, Bhiksha; Nagarajan, N; Pradeep, A.; Saravanan, G.; Vijayakumar, S.; Rao, J. Janardhan

doi:10.1155/2022/2081189

Cited by 29 publications

(10 citation statements)

References 23 publications

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“…AZ31 ingots were loaded in the graphite crucible, heated up to 650 °C, and held till the metal melted into liquid. Te raw materials were preheated at 400 °C with a soaking time of 1 h. To prevent atmospheric oxidation, argon gas was used to create a vacuum environment in the furnace [17,18]. Te prewarmed reinforcements were released into the graphite crucible, and a stirrer was rotated at 700 rpm.…”

Section: Materials and Composite Fabricationmentioning

confidence: 99%

Investigation of Mechanical Properties and Microstructure of AZ31-SiC-Graphite Hybrid Nanocomposites Fabricated by Bottom Pouring-Type Stir Casting Machines

Veeranjaneyulu

Das²,

Karumuri

2023

Advances in Materials Science and Engineering

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In this study, a bottom pouring-type stir casting machine was used to create AZ31 magnesium alloy hybrid nanocomposites with varying weight percentages (0, 3, 5, and 7) of silicon carbide (SiC) and graphite (Gr) particles. Investigations have been made into the mechanical characteristics and microstructural distribution of manufactured hybrid nanocomposites. The outcomes demonstrate that the mechanical characteristics and uniform distribution of SiC and Gr particles are enhanced compared to those of the base alloy. In comparison to monolithic AZ31 alloy, microhardness, ultimate tensile strength (UTS), yield strength (YS), and compressive strength (CS) were raised by about 54%, 68%, 82%, and 107%, respectively. The presence of reinforced particles, the uniform distribution of particles, and the strong interfacial connection between the matrix and reinforcement all contribute to the improvement of mechanical properties. However, the addition of 7 wt. % SiC/Gr showed good mechanical properties compared to the base alloy. The microstructure of nanocomposites was analyzed using a scanning electron microscope (SEM), and particles were described using energy-dispersive spectroscopy (EDS).

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Section: Materials and Composite Fabricationmentioning

confidence: 99%

Investigation of Mechanical Properties and Microstructure of AZ31-SiC-Graphite Hybrid Nanocomposites Fabricated by Bottom Pouring-Type Stir Casting Machines

Veeranjaneyulu

Das²,

Karumuri

2023

Advances in Materials Science and Engineering

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“…In order to establish the connection between the input variables (FE, VO, EL, and ED) and response variables (MRR and SR), A linear equation was used to model the experimentally observed data using the multiple linear regression analysis examination method. A linear regression model presentation will be produced by the software Minitab-17 in view of the experimental fndings [23]. For MRR and SR, the regression equations ( 2) and (3) were helpful.…”

Section: Regression Equationmentioning

confidence: 99%

Experimental Investigation of Material Removal Rate Parameters in ECM for Aluminum Hybrid Matrix Composites Using the RSM Technique

Sri

Anusha

Krishnajirao³

et al. 2023

Advances in Materials Science and Engineering

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In the present work, the preparation of AA-6082/ZrSiO4/TiC hybrid composite is studied along with an analysis of the effects of electrochemical machining parameters such as feed rate of electrode (FE), voltage (VO), electrolyte concentration (EL), and electrolyte discharge (ED) rate on the output responses of the material removal rate (MRR) and surface roughness (SR) for Al hybrid composites. The experiments are carried out based on the Taguchi L16 orthogonal array and the important process parameters are found for MRR and SR. Each parameter contains four different levels that are FE (0.10, 0.15, 0.20, and 0.25 mm/min), VO (10, 15, 20, and 25 V), EL (15, 20, 25, and 30 g/lit), and ED (1.5, 2, 2.5, and 3 lit/min).The optimization software, namely, Minitab-17 version helps to find the contribution of each parameter on MRR and SR. The ANOVA result reveals that the feed rate of electrode is the highest contributing parameter, trailed by the electrolyte discharge rate and other process parameters for MRR and SR. A linear model of regression and interaction plots is also included to show the relationship between the parameters. From the observational results, the highest MRR (0.00953 mg/min) is attained by the parameter combination level of the feed rate of electrode of 0.20 mm/min, voltage of 25 V, electrolyte concentration of 20 g/lit, and electrolyte discharge rate of 1.5 g/, whereas the lowest MRR is found at FE of 0.10 mm/min, VO of 10 V EL-15 g/lit and ED of 2.5 g/litre. For SR, the maximum and minimum are recognized at FE2-VO4-EL3-ED2 (0.15 mm/min, 25 V, 25 g/lit, and 2 lit/min) and FE1-VO1-EL1-ED1 (0.10 mm/min, 10 V, 15 g/lit, and 1.5 lit/min), respectively. Finally, the increment of MRR and SR values is mostly dependent on the feed rate of the electrode.

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“…Process factors such as stirrer speed, stir time, and temperature were changed as per L20. Based on the experimental design, output responses (TS and HV) are acquired after exposing the samples to various mechanical property characterizations [30]. SN ratios (signal to noise) is log functions of output that aid for predicting the best process outcomes.…”

Section: Rsm Techniquementioning

confidence: 99%

Effect of SC Parameters on Material Characteristics for Al 5083‐Based Hybrid Matrix Composites Using Taguchi RSM Technique

Rao

Ramasamy

Pradeep

et al. 2022

Journal of Nanomaterials

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This research concentrated on material characteristics such as tensile property (TS) and hardness (HV) for AA-5083 manufactured using the stir casting (SC) process. The reinforcing elements silicon carbide (SiC-7.5%) and flyash (FA-5%) in the form of powders will be added to Al alloy to improve the characteristics of composites. Response surface methodology (RSM) was a scientific technique to make optimizing task at stir casting parameters. As per central composite design (CCD), 20 samples (L1-L20) were fabricated at a variation of factors such as stirrer speed (A) 350-550 rpm, stir time (B) 15-35 min, and stir temperature (C) 750-950°C. The result presented that best TS and HV exhibited at experiments L5 (A2-450 rpm, B1-15min, and C1-750°C) and L6 (A1-350 rpm, B1-15min, and C1-750°C). Design expert software (DES) is one of the optimization tools that employed to determine analysis of variance (ANOVA) and the best optimal parameter levels of SC. ANOVA helped to check contribution of SC factors on TS and HV, and it was noticed that mechanical properties were improved with increasing stir speed and stir time but it was reduced with rising of temperature.

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Analysis of Mechanical Properties for Al‐MMC Fabricated through an Optimized Stir Casting Process

Cited by 29 publications

References 23 publications

Investigation of Mechanical Properties and Microstructure of AZ31-SiC-Graphite Hybrid Nanocomposites Fabricated by Bottom Pouring-Type Stir Casting Machines

Investigation of Mechanical Properties and Microstructure of AZ31-SiC-Graphite Hybrid Nanocomposites Fabricated by Bottom Pouring-Type Stir Casting Machines

Experimental Investigation of Material Removal Rate Parameters in ECM for Aluminum Hybrid Matrix Composites Using the RSM Technique

Effect of SC Parameters on Material Characteristics for Al 5083‐Based Hybrid Matrix Composites Using Taguchi RSM Technique

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