Experimental Investigation and Optimization of Dry Sliding Wear Test Parameters of Aluminum Based Composites

Khan, Mohammad Mohsin; Dey, Abhijit; Hajam, Mohammad Irfan

doi:10.1007/s12633-021-01158-5

Cited by 21 publications

(9 citation statements)

References 31 publications

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“…However, the COF of the LM27/SiC 3C composite reached a contact pressure of about 0.6 under 0.624 MPa. This is caused by plastic deformations and then easily transfers the stresses at the contact points [34]. For most of the tests operating under contact pressure 0.624 MPa, the COF of the LM27/SiC 12F and LM27/SiC 12C composites remained of similar behaviour (Figure 11(b)).…”

Section: Resultsmentioning

confidence: 99%

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Effect of in-situ tribo-oxide-layer on the non-lubricated tribological behaviours of LM27/SiC_p composites

Nagpal

Kumar

Panwar

et al. 2022

Tribology - Materials, Surfaces & Interfaces

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In this study, the influence of the in-situ tribo-oxide-layer on non-lubricated tribological behaviours of LM27/SiC p composites was studied at different applied loads. For this purpose, LM27/SiC p composites were manufactured by stir casting route with reinforcement of different amounts (3-12 wt.%) and different sizes (fine: 1-20 µm and coarse: 106-125 µm) of SiC p . A comprehensive characterization of the friction and wear mechanisms ranging from mild to severe wear for oxidative and delamination at a contact pressure of 0.125-0.624 MPa was discussed. Results indicate that the friction and wear behaviour is strongly influenced by the morphology and the nature of the oxide scale on the wear track. In-situ formation of oxide layers on the contact region of the specimen supports the selflubrication which supports better wear performance of LM27/SiC p composites. However, these study portraits that composite with 12wt. % fine size SiC p exhibits better wear performance in comparison to the other developed composites.

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Section: Resultsmentioning

confidence: 99%

“…Al 2 O 3 , SiO 2 and Fe 3 O 4 . These oxide layers help to prevent metal-to-metal contact because these particles have a tendency to attach to the pin surface, increasing wear resistance and lowering the COF value [34]. However, an increase in frictional heat softens the material thus reducing the stability of the oxide film.…”

Section: Resultsmentioning

confidence: 99%

Effect of in-situ tribo-oxide-layer on the non-lubricated tribological behaviours of LM27/SiC_p composites

Nagpal

Kumar

Panwar

et al. 2022

Tribology - Materials, Surfaces & Interfaces

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“…Researchers have developed many statistical models in order to optimize the various parameters for tribological performance of the composites. Many modelling techniques recently being used are Response surface methodology (RSM), Artificial Neural Network (ANN), Taguchi for the optimization of parameters for tribological performance of composites with the aid of statistical tools like Python, Minitab, Design of Experiments, Matlab, etc [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

“…Radhika et al [18] made LM25 aluminium alloy having 10 wt% TiC composite and used RSM to study the input parameters to optimize the wear rate. Kumar and Devaraju [14] used response surface methodology to optimise hardness, ultimate tensile strength, density, porosity, and specific wear rate for the CRS/SiC reinforced aluminium composites. Singh et al [19] used RSM to examine how wear parameters affected wear and friction behaviour of B 4 C and SiC reinforced AA6082-T6 composites.…”

Section: Introductionmentioning

confidence: 99%

Prediction of tribological performance of Cu-Gr-TiC composites based on response surface methodology and worn surface analysis

Ankit,

Kumar,

Yadav

et al. 2023

Phys. Scr.

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In the current study, the prediction of tribological performance of Cu-Gr-TiC composites and correlative with surface topography has been studied. For this purpose, the Cu-Gr composites reinforced with TiC ceramic particles were prepared via the powder metallurgy route. The prepared composites microstructure, mechanical characteristics, and dry sliding wear behaviour were assessed. A pin on disc setup was taken for tribological testing where sliding velocity is 1.5 m/s. Wear behaviour of composites was examined using a central composite design (CCD) with three levels. The wear behavior optimization was accomplished through the utilization of response surface methodology (RSM). The input parameters in RSM consisted of sliding distance, varying load, and weight percentage (wt.%) of reinforcements, while the wear rate and coefficient of friction served as the two responses. An analysis of variance (ANOVA) using RSM was conducted to identify the significant parameters influencing the wear rate and coefficient of friction. A quadratic model was suggested based on best fit and a regression equation was established for predicting the tribological properties at any given input parameter. Comparative of experimental and predicted values shows close tolerance. It was observed that RSM is significant tool to predict and optimize the tribological properties. The composite having 3.08 wt.% of TiC particles was optimized for minimum wear rate & COF at 20 N load and 2000 m sliding distance.

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“…The analysis of variance (ANOVA) is the common tool used to study the in uence of input process parameters. Research on other tools such as grey relation analysis (GRA), Taguchi, MOORA, TOPSIS and other statistical tools are widely used for process optimization [8][9][10][11][12]. The response from the statistical tools are used to x the goodness of t curve and to infer that the data generated is to be recommended or not.…”

Section: Introductionmentioning

confidence: 99%

Assessment, analysis and optimization for high temperature sliding wear process parameter with additive built nickel-base superalloy

S.P,

et al. 2023

Preprint

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The nickel-base superalloy is developed through an additive manufacturing process following a metal laser sintering technique. The developed alloy is used to perform high-temperature sliding wear analysis with the different input process conditions. Applied load, sliding duration and the working temperature are the defined process environment for the investigation. The process conditions are designed with twenty-seven sets of experimental trials for statistical analysis and process assessment. The responses on surface roughness and the material loss with respect to the input process parameters are technically assessed and justifications are made with the electron microscopic images. The surface topography has been influenced due to applied load and the sliding duration. The statistical analysis has proved that the influence of temperature is less and negotiable compared to the load and time factors. From the optimization process, the optimal parameter for the experimental design is 10 N, 100 ºC and 30 min is the ultimate condition to produce the best results from the high temperature sliding wear analysis.

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Experimental Investigation and Optimization of Dry Sliding Wear Test Parameters of Aluminum Based Composites

Cited by 21 publications

References 31 publications

Effect of in-situ tribo-oxide-layer on the non-lubricated tribological behaviours of LM27/SiC_p composites

Effect of in-situ tribo-oxide-layer on the non-lubricated tribological behaviours of LM27/SiC_p composites

Prediction of tribological performance of Cu-Gr-TiC composites based on response surface methodology and worn surface analysis

Assessment, analysis and optimization for high temperature sliding wear process parameter with additive built nickel-base superalloy

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Experimental Investigation and Optimization of Dry Sliding Wear Test Parameters of Aluminum Based Composites

Cited by 21 publications

References 31 publications

Effect of in-situ tribo-oxide-layer on the non-lubricated tribological behaviours of LM27/SiCp composites

Effect of in-situ tribo-oxide-layer on the non-lubricated tribological behaviours of LM27/SiCp composites

Prediction of tribological performance of Cu-Gr-TiC composites based on response surface methodology and worn surface analysis

Assessment, analysis and optimization for high temperature sliding wear process parameter with additive built nickel-base superalloy

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Product

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Effect of in-situ tribo-oxide-layer on the non-lubricated tribological behaviours of LM27/SiC_p composites

Effect of in-situ tribo-oxide-layer on the non-lubricated tribological behaviours of LM27/SiC_p composites