Analysis of Dry Sliding Wear Performance of Tribaloy T-800/Tungsten Carbide Coating Deposited via Laser Cladding Assisted with Preheating

Nyadongo, Sipiwe Trinity; Olakanmi, Eyitayo Olatunde; Pityana, Sisa

doi:10.1007/s11665-022-07493-x

Cited by 2 publications

(1 citation statement)

References 41 publications

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“…The friction and wear of the synthesized hybrid AMMCs supplemented with graphene and silicon carbide particles are depicted in Figure 5 [24]- [26]. After the inclusion of hard reinforcement particles and their uniform dispersion in the matrix material, an increase in friction and a decrease in wear rate were noted [27]- [29].…”

Section: Micrographs Of Worn-out Surfaces After Wear Testmentioning

confidence: 99%

Enhancing friction and wear performance in hybrid aluminum composites through grey relational analysis

Kumar,

Singh

2024

Res. Eng. Struct. Mat.

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Hybrid aluminum metal matrix composites (AMMCs) include qualities including being lightweight, very effective, and highly resistant to wear, and corrosion. The process used in this study to maximize friction and minimize wear of hybrid AMMCs involves applying grey relational analysis (GRA) to optimize the process features. Stir-casting was used to create hybrid AMMCs of the Al-6061 alloy reinforced with graphene (Gr) and silicon carbide (SiC). The experiment used Taguchi's L27 design, and three process parameters—normal load, sliding distance, and sliding speed—were combined with GRA to produce the maximum coefficient of friction and lowest wear rate. Al-6Gr-6SiC obtained the maximum hardness of 128 VHN and 253 MPa as tensile strength, further coefficient of friction, and wear were analyzed for the same composite., respectively. The ideal mixture of graphene (6 weight percent) and silicon carbide (6 weight percent) as reinforcement in Al-6061 alloy obtained the optimum value of frictional coefficient (0.29766) and wear (0.002588 mm3/m), respectively.

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Section: Micrographs Of Worn-out Surfaces After Wear Testmentioning

confidence: 99%

Enhancing friction and wear performance in hybrid aluminum composites through grey relational analysis

Kumar,

Singh

2024

Res. Eng. Struct. Mat.

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Abrasive Wear Behavior of Nano-Sized Steel Scale on Soft CuZn35Ni2 Material

Demirsöz

Uğur

Erdogdu

et al. 2022

J. of Materi Eng and Perform

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This study examines the abrasive wear behavior of nano-sized steel scale on the CuZn35Ni2 Soft material. CuZn35Ni2 Soft material was used as a sample, and the three-body wear mechanism formed by nanoscale particles mixed with lubricating oil was investigated using a ball-on-flat tester. Three different loads, three different sliding speeds and three different environment variables were used in the experiments. A lubricant containing 0.15 and 0.3 wt.% nanoscale and a non-abrasive lubricant was used to form the medium. The experimental results were obtained as mass loss, wear depth and friction coefficient and the wear surfaces were examined using scanning electron microscopy/energy-dispersive x-ray spectroscopy (SEM/EDX). The analysis of variance method was used to determine the effect of independent variables on the results. As a result of the study, it was concluded that the most effective parameter for mass loss and CoF was the environment, and the most effective parameter for the depth of wear was the load. It was concluded that there might be a difference of up to 10% in the coefficient of friction between the experiments and the predicted values. Still, in general, the predicted values and the experimental results agree.

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Analysis of Dry Sliding Wear Performance of Tribaloy T-800/Tungsten Carbide Coating Deposited via Laser Cladding Assisted with Preheating

Cited by 2 publications

References 41 publications

Enhancing friction and wear performance in hybrid aluminum composites through grey relational analysis

Enhancing friction and wear performance in hybrid aluminum composites through grey relational analysis

Abrasive Wear Behavior of Nano-Sized Steel Scale on Soft CuZn35Ni2 Material

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