Wear of 2024 Al-Mo-SiC composites under lubrication

Bai, Ming; Xue, Qunji; Ge, Qilu

doi:10.1016/0043-1648(95)06808-2

Cited by 11 publications

(10 citation statements)

References 8 publications

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“…The composites are synthesized by different techniques but mostly pressure infiltration technique [1], powder metallurgy [2][3][4][5][6] and stir casting techniques [7][8][9] are used. Researchers in general consider the volume fraction of reinforcement silicon carbide in the range of 0% -30% [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21]. Some researchers have used higher volume fraction in the range of 60% [1] and 10% -40% [19,20].…”

Section: Introductionmentioning

confidence: 99%

“…In most of the studies the researchers have considered particle reinforcement while some of the researchers have used whisker reinforcement [4,5,12]. Bai et al [4] incorporated aluminium 2024 alloy with 15 vol% SiC whiskers to study the wear behaviour of the material.…”

Section: Introductionmentioning

confidence: 99%

“…The test results indicated that Al-SiC composite showed better wear resistance that the aluminium alloy. Another wear study was conducted by the same research group using Al-Mo-SiC composite [5]. The composite was fabricated by reinforcing 15 vol% SiC and 15 vol% Mo in aluminium 2024 alloy.…”

Section: Introductionmentioning

confidence: 99%

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Wear Behaviour of Al-SiCp Metal Matrix Composites and Optimization Using Taguchi Method and Grey Relational Analysis

Ghosh¹,

Sahoo²,

Sutradhar³

2012

JMMCE

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Aluminium metal matrix composite is a relatively new material that has proved its position in automobile, aerospace and other engineering design applications due to its wear resistance and substantial hardness. Need for improved tribological performance has led to the design and selection of newer variants of the composite. The present investigation deals with the study of wear behaviour of Al-SiCp metal matrix composite for varying reinforcement content, applied load, sliding speed and time. Aluminium metal matrix composites reinforced with SiC particles are prepared by liquid metallurgy route using LM6 aluminium alloy and silicon carbide particles (size ~ 37 µm) by varying the weight fraction of SiC in the range of 5% -10%. The material is synthesized by stir casting process in an electric melting furnace. The materials are then subjected to wear testing in a multitribotester using block on roller configuration. A plan of experiments based on L27 Taguchi orthogonal array is used to acquire the wear data in a controlled way. An analysis of variance is employed to investigate the influence of four controlling parameters, viz., SiC content, normal load, sliding speed and sliding time on dry sliding wear of the composites. It is observed that SiC content, sliding speed and normal load significantly affect the dry sliding wear. The optimal combination of the four controlling parameters is also obtained for minimum wear. The microstructure study of worn surfaces indicates nature of wear to be mostly abrasive.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Wear Behaviour of Al-SiCp Metal Matrix Composites and Optimization Using Taguchi Method and Grey Relational Analysis

Ghosh¹,

Sahoo²,

Sutradhar³

2012

JMMCE

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“…Similarly, the mechanical and wear performance enhances with SiC ceramic reinforcement in aluminum-matrix [5][6][7][8][9][10]. The wear rate and friction coefficient are found to be decreased with graphite particulate in AA2024 alloymatrix [11][12][13]. Few significant literatures mentioned above relative to vast literature-pool, synopsis that rare work on combination of alumina/silicon-carbide particulate reinforced aluminum alloy had ever reported.…”

Section: Introductionmentioning

confidence: 99%

Application of preference selection index method in performance (mechanical properties and sliding wear) based ranking of AA2024‐Al₂O₃/SiC alloy composites

Kumar

Bhaskar

Shakyawal

et al. 2020

Materialwissenschaft Werkst

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In this research work, alumina/silicon‐carbide ceramic particulates are used to reinforce AA2024 with the objective of improvement in its mechanical performance so that it could be successfully applied for sliding wear applications e. g. counter‐surface of drum/disc in automobiles. The designed formulation was fabricated via semi‐automatic stir casting technique following standard industrial practice. Thereafter, the sample specimens were prepared as per ASTM standard dimensions and the physical/mechanical/sliding wear performance were evaluated and discussed. Taguchi design‐of‐experiment method was applied for designing of experimental runs and input control parameter optimization. The worn surface morphology studies were analyzed for understanding prevalent wear mechanism using field emission scanning electron microscope along with energy‐dispersive x‐ray spectroscopy. Further, multi‐criteria‐decision‐making tool namely, preference selection index method (computationally simple and easy to understand) have been applied in‐order‐to rank the composites of the formulation. The obtained test results have ∼95 % confidence level. It has been observed that alloy‐matrix mechanical properties improve with reinforcement that enhances the sliding wear performance. It has been verified that the composite sample with equal amount of reinforcements shows superior mechanical as well as sliding wear performance and ranked highest by preference selection index method methods. This infers that design engineer may use multi‐criteria‐decision‐making technique like preference selection index in selection of materials reasonably.

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“…e friction coefficient value increases from 0.5 to 1.5 with increase in temperature for both cases. Bai et al [10] found that friction coefficient value increased with increase in sliding time. e variation is higher for high applied load.…”

Section: Introductionmentioning

confidence: 99%

Friction Performance of Al-10%SiCp Reinforced Metal Matrix Composites Using Taguchi Method

2013

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e present paper considers the friction performance of Al-10%SiCp reinforced metal matrix composites against steel for varying tribological test parameters. e composite is prepared by stir-casting process using aluminium alloy LM6 being mixed with 10% silicon carbide by weight. e tribological tests are performed by varying applied load, sliding speed, and time. e friction performance is studied using plate-on-roller con�guration in a multitribotester and optimized using Taguchi L 27 orthogonal array. Analysis of variance (AN�VA) is performed to observe the signi�cance of test parameters and their interactions on friction performance. It is observed that normal load and the interaction between normal load and speed in�uence the friction behaviour, signi�cantly. e wear tracks are analyzed with the help of scanning electron microscopy.

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Wear of 2024 Al-Mo-SiC composites under lubrication

Cited by 11 publications

References 8 publications

Wear Behaviour of Al-SiCp Metal Matrix Composites and Optimization Using Taguchi Method and Grey Relational Analysis

Wear Behaviour of Al-SiCp Metal Matrix Composites and Optimization Using Taguchi Method and Grey Relational Analysis

Application of preference selection index method in performance (mechanical properties and sliding wear) based ranking of AA2024‐Al₂O₃/SiC alloy composites

Friction Performance of Al-10%SiCp Reinforced Metal Matrix Composites Using Taguchi Method

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Wear of 2024 Al-Mo-SiC composites under lubrication

Cited by 11 publications

References 8 publications

Wear Behaviour of Al-SiCp Metal Matrix Composites and Optimization Using Taguchi Method and Grey Relational Analysis

Wear Behaviour of Al-SiCp Metal Matrix Composites and Optimization Using Taguchi Method and Grey Relational Analysis

Application of preference selection index method in performance (mechanical properties and sliding wear) based ranking of AA2024‐Al2O3/SiC alloy composites

Friction Performance of Al-10%SiCp Reinforced Metal Matrix Composites Using Taguchi Method

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Application of preference selection index method in performance (mechanical properties and sliding wear) based ranking of AA2024‐Al₂O₃/SiC alloy composites