Analysis the mechanical properties and material characterization on Magnesium Metal Matrix Nano composites through stir casting process

Paramasivam, Sakthivel; Deepakaravind, V.; Gopal, P.; Azhagiri, Pon.

doi:10.1016/j.matpr.2021.01.041

Cited by 12 publications

(6 citation statements)

References 17 publications

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“…The hardness of the MMNCs increases significantly as the Al2O3 concentration of the matrix alloy rises, as seen in the chart. The MMNCs with 2.0 wt.% Al2O3 reinforcing material showed the highest micro-hardness of all the compositions evaluated in this investigation [32].…”

Section: Density and Micro Hardness Of Aa7150-al2o3 Nano Mmcsmentioning

confidence: 63%

Studies on the Mechanical, Strengthening Mechanisms and Tribological Characteristics of AA7150-Al2O3 Nano-Metal Matrix Composites

Maddaiah,

Kumar,

Pramod

2024

J. Compos. Sci.

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Stir-casting with ultrasonic cavitation produced nano-Al2O3-filled AA7150 matrix composites in this study. The SEM microstructure study shows that all composites include nano-Al2O3 particles with consistent particle sizes and homogenous distribution. EDS and XRD showed no secondary phases or impurities in the composite. Optical microscopy showed intense ultrasonic cavitation effects, and nano-Al2O3 particles caused grain refinement in the AA7150 matrix. The composite’s mechanical characteristics improved when the Al2O3 nanoparticle weight percentage (wt.%) increased. With only 2.0 wt.% nano-Al2O3 particles, the composites yielded 232 MPa, 97.52% higher than the sonicated AA7150 matrix alloy. Multiple models were used to characterize the strength of the AA7150 nano-Al2O3 composite. The findings showed that thermal incongruity, Orowan strengthening, the Hall–Petch mechanism, and load transfer effects contributed the most towards the increased strength of the composite. Increasing the nano-Al2O3 wt.% in the AA7150 matrix improved hardness by 95.08%, yield strength by 90.34%, and sliding wear resistance by 46.52%. This enhancement may be attributed to the combined effects of better grain refinement, enhanced dispersion with dislocation strengthening, and better load transfer between the matrix and reinforcement, which are assisted by the inclusion of reinforcements. This result was confirmed by optical studies.

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Section: Density and Micro Hardness Of Aa7150-al2o3 Nano Mmcsmentioning

confidence: 63%

Studies on the Mechanical, Strengthening Mechanisms and Tribological Characteristics of AA7150-Al2O3 Nano-Metal Matrix Composites

Maddaiah,

Kumar,

Pramod

2024

J. Compos. Sci.

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“…Adeolu fabricated Al7075-TiO 2 composites through stir-casting way and detected that temperature (750 °C) and stir speed (500 rpm) are premier significant variables which exhibited the best UTS [16]. Sathishkumar et al have done microstructure study and material behavior and properties Mg matrix nanocomposites (MMNCs) [17]. Due to the increment of TiC particles from 0 to 12% in AA2014 matrix, ductility reduced around 45% and tensile strength and BHN are improved to 52% and 21%, respectively [18].…”

Section: Introductionmentioning

confidence: 99%

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

Gugulothu

Nagarajan

Pradeep

et al. 2022

Journal of Nanomaterials

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This work concentrated on preparation of Al-based composites through stir casting process. Al6082 was chosen as base material that is reinforced with zirconium silicate and titanium carbide. As per Taguchi design L16 orthogonal array, specimens are produced with variation of casting parameters for performing tensile and hardness test. In this process, ZrSiO₄ is kept constant to 10 wt%, whereas TiC concentration varied from 2.5 to 10wt%. For analyzing the properties of optimized stir cast samples for AA6082/ZrSiO4/TiC, three input variables with four levels are taken such as Stir speed (SS) 300-750 rpm, Stir time (ST) 5-20 min, and Reinforcement (RI) 2.5-10 wt%. The Taguchi technique was used as an analyzer to determine optimal parameter on Tensile Strength (TS) and Hardness (HN). The Minitab-17 software is assisting to find analysis of variance (ANOVA), regression equation, and contour plots of the selected parameters. Finally, it is witnessed that SS (65.9%) is the maximum influenced factor that increases TS, followed by RI (23.1%) and ST (11%). The best combinations of parameters on TS and HN were found at SS2-ST1-RI2 (450 rpm, 5 min, and 5wt%) and SS3-ST2-RI4 (600 rpm, 10 min, and 10wt percent), respectively. From the contour plots, the casting variables SS (600-650 Rpm), ST (15-17.5 min), and RI (5-8 wt%) were proposed for achieving excellent mechanical properties.

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“…SiC is one of the ceramic metal which had less density compare to titanium carbide [12]. Most of the researchers chose it to add up with different metals to develop properties of material [13]. Nowadays, AMC products are made with light mass [14]; FA powder possesses light weight that avail due to burning waste items of steam boiler plants.…”

Section: Introductionmentioning

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 the mechanical properties and material characterization on Magnesium Metal Matrix Nano composites through stir casting process

Cited by 12 publications

References 17 publications

Studies on the Mechanical, Strengthening Mechanisms and Tribological Characteristics of AA7150-Al2O3 Nano-Metal Matrix Composites

Studies on the Mechanical, Strengthening Mechanisms and Tribological Characteristics of AA7150-Al2O3 Nano-Metal Matrix Composites

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

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

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