Surface characteristics modification of lm25 aluminum alloy – 5% sic particulate metal matrix composites by friction stir processing

Vijayavel, P.; Rajkumar, I.; Sundararajan, T.

doi:10.1016/j.mprp.2021.02.001

Cited by 13 publications

(4 citation statements)

References 30 publications

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“…Similar observations were made on 5% of SiCp reinforced with Al composites and found that the wear rate of both composites increased with increasing sliding distance and applied load. The surface degradation of composites increases with increasing load (16) . This primary wear form appears to be ploughing out the surface material.…”

Section: Wear Mechanism Analysis Of Semmentioning

confidence: 98%

Feasibility Study on Tribology and Surface Morphology Characterization of Hybrid Composites

Jayaprakash¹,

Niranjan²,

Vinod³

2022

IJST

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Objectives: To investigate the tribological behaviour of aluminium hybrid composites. Aluminium alloy (LM 25) is utilised in the aerospace and defence industries. Its wear properties are further improved to increase the lifespan of the components used in these sectors. Due to their ability to resist wear, graphite and silicon carbide are often used to manufacture machine tools. The objective is to identify the wear parameters of the LM 25 alloy. It was examined after stir-cased and strengthened with silicon carbide and graphite in various weight ratios. Methods: The dry sliding wear behaviour for aluminium alloys containing 2, 4, and 6 wt.% silicon carbide and a fixed 2 wt.% graphite is investigated using stir-casting composites. These process parameters included loads of 15, 30, and 45 N, sliding speeds of 0.55, 1.10, and 1.65 m/s, and sliding distances of 333, 666, and 999 m. Findings: According to the test results, the overall wear loss of SiC-reinforced hybrid composites was less compared to both unreinforced alloys and Al/Gr composites. The tribological behaviour of a composite consisting of 4% SiC and 2% Gr was significantly improved compared to the base alloy. Novelty: The novelty of this study is to induce a brake disc made of an Al alloy with wear-resistant SiC/Gr particle-reinforced aluminium composites committed to its surface. The role of tribology in determining material behaviour is shown to be important in controlling material removal.

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Section: Wear Mechanism Analysis Of Semmentioning

confidence: 98%

Feasibility Study on Tribology and Surface Morphology Characterization of Hybrid Composites

Jayaprakash¹,

Niranjan²,

Vinod³

2022

IJST

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“…From figure 14(a), it is implicit that the SiC particles were dispersed homogeneously due to the maximum weight ratio presented. The agglomeration and micropores are present very little, and the medium of stirring speed and maximum melting temperature are also the major reasons for improving the even dispersion [35]. Figures 15(a) and (b) shows the SEM and EDS of sample 9 at 750 rpm, 8% and 650 °C.…”

Section: Sem With Eds Investigations On Squeeze Cast Samplesmentioning

confidence: 99%

Optimization of squeeze casting process parameters on mechanical properties of SiCp reinforced LM25 composites through Taguchi technique

S¹,

Anburaj

Chanakyan³

2023

Mater. Res. Express

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Aim of the present work focuses with influence of processing parameters on fabricated composites of LM25 alloy with SiC particles reinforcement through the squeeze casting technique. The following process parameters like stirring speed from 550 to 750 rpm, SiC weight proportions from 4 to 8% and melting temperature from 600 to 700oC were employed. Then processed composites were subjected to microstructural analysis and mechanical tests to ascertain metallurgical and mechanical properties. SEM and EDS results confirmed that the better bonding of SiC particles with matrix is achieved in the LM 25 composites and it is due to homogeneous dispersion of SiC particles in the stir casting process. The maximum tensile strength (211 MPa) and hardness (91 Hv) is achieved on the composite samples with processing parameters of 750 rpm stirring speed, 8% of SiC proportions and 650 0C of melting temperature, respectively. From the design of experiment by Taguchi method, it is found that the stirring speed plays an important role in achieving better distribution of SiC particles in the composite samples than that of other parameters like SiC weight ratios and melting temperature of the alloy.

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“…Therefore, the AMCs reached these properties based on the lightweight structures. From the oxide-based materials to carbides with various influencing factors of nanoceramic particles, it is predictably strengthened with ceramic particles to produce the aluminum matrix composites [3]. Even if the process characteristics are also very significant for producing the AMCs and therefore stir casting process is utilized for composing the metal matrix composites [4].…”

Section: Introductionmentioning

confidence: 99%

Taguchi-Based Artificial Neural Network Modeling of Friction Process on Aluminum Alloy Reinforced with SiC Nanoparticles

Pushparaj¹,

Jeremiah²,

Solomon³

et al. 2023

Journal of Nanomaterials

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Nowadays, the aluminum metal matrix composites (AMCs) play an empirical role to improve the mechanical performance by various applications. Therefore, the secondary processes need to enhance the surface morphology of intermetallic phases with the appropriate reinforcing particles. In this research, Al7075- and ceramic-based nanosilicon carbide (SiC) were utilized to compose the metal matrix composites. These composites were subjected to friction welding for intermetallic surface modification with the various forging pressure and rotating speed. Initially, the AMCs were prepared with three (8–12) kinds of SiC weight proportions by the design of Taguchi L9 orthogonal array. As per the weight proportions, nine samples were prepared and then conducted the friction welding with 10–20 MPa of forge pressure and 1,650–2,050 rpm of rotational speed of spindle. Then, the entire nine specimens were allowed to conduct the tensile and microhardness test. During the mechanical test, the overall welded zone had higher mechanical properties than the base metal. Then, the artificial neural network was utilized to predict the output responses as per the designed concept of trial and error method. The overall predicted responses are nearly closed to the experimental values.

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Surface characteristics modification of lm25 aluminum alloy – 5% sic particulate metal matrix composites by friction stir processing

Cited by 13 publications

References 30 publications

Feasibility Study on Tribology and Surface Morphology Characterization of Hybrid Composites

Feasibility Study on Tribology and Surface Morphology Characterization of Hybrid Composites

Optimization of squeeze casting process parameters on mechanical properties of SiCp reinforced LM25 composites through Taguchi technique

Taguchi-Based Artificial Neural Network Modeling of Friction Process on Aluminum Alloy Reinforced with SiC Nanoparticles

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