Wear behavioral assessment of Al-CSAp-MMCs using grey-fuzzy approach

Raju, S. S. S. V. Gopala; Rao, G. Srinivasa; Samantra, Chitrasen

doi:10.1016/j.measurement.2019.04.004

Cited by 38 publications

(10 citation statements)

References 49 publications

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“…In situ mixing of compounds is able to improve thermo-mechanical properties by thermal treatment. 35,38,40…”

Section: Resultsmentioning

confidence: 99%

“…Wear rate is deliberated as ratio of volume loss to sliding distance. 37,38 The coefficient of friction is a ratio of frictional force and typical load. Force of friction has been recorded to resolve the coefficient of friction.…”

Section: Fabrication and Testing Of Csa Compositesmentioning

confidence: 99%

“…XRD spectrum (Figure 1) of reinforced material shows various compounds which exist in CSA, which is basically alumino-silicate. 35,38,40 Mechanical properties of Al-CSA MMC From Table 5, it can be observed that composite hardness values are increasing with volume of CSA, owing to tough phase ceramic compounds and alkaline compounds presented in CSA particles as well as dispersed in cast composite. The tensile strength increases with increasing of volume of CSA, attributes to enhanced grain growth and intermolecular attraction among particulates.…”

Section: Characterization Of Csapmentioning

confidence: 99%

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Ranking of Al-CSA composite by MCDM approach using AHP–TOPSIS and MOORA methods

Raju

Murali

Patnaik

2020

Journal of Reinforced Plastics and Composites

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A systematic and efficient approach for the selection of material is necessary to choose a best alternative for the structure or component under consideration. The multi-criteria decision making (MCDM) approaches are well suited to deal intricacy in judgment of material assortment. In this paper, integrated MCDM approaches like analytical hierarchy process (AHP)–technique for order preference by the resemblance to an ideal solution (TOPSIS) and AHP–multi-objective optimization on the basis of ratio analysis (MOORA) methods are used to rank aluminum-coconut shell ash (CSA) composites. The weightage for each criterion is calculated by AHP method and utilized in the TOPSIS and MOORA approaches to rank the materials. The target-based attributes such as density (physical property), hardness, tensile strength, toughness (mechanical properties), wear rate, and coefficient of friction (tribological properties) of the prepared composites are considered in the selection of criteria process. The composites are fabricated using stir-casting process by varying the volume fraction (5, 10, 15, and 20%) of CSA incorporated with Al-1100 matrix. A detailed study on the MCDM approaches revealed that Al-15% CSA composite emerged as the best material followed by Al-10% CSA composite among all, whereas the base matrix is found as the poor performed material in this study.

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“…In situ mixing of compounds is able to improve thermo-mechanical properties by thermal treatment. 35,38,40…”

Section: Resultsmentioning

confidence: 99%

Section: Fabrication and Testing Of Csa Compositesmentioning

confidence: 99%

Section: Characterization Of Csapmentioning

confidence: 99%

See 1 more Smart Citation

Ranking of Al-CSA composite by MCDM approach using AHP–TOPSIS and MOORA methods

Raju

Murali

Patnaik

2020

Journal of Reinforced Plastics and Composites

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“…The wear rate is measured in mm/m 2 . Based on friction forces, the coefficient of friction has been computed [20,21]. The worn-out were examined SEM (Model: JEOL JSM-5600LV) and metallography samples using with Optical microscope (Model: METZ-797).…”

Section: Testing Methods Of Al-composite Materialsmentioning

confidence: 99%

Assessment of mechanical and tribological performance of hybrid Al/MoS2/Al2O3 composite by GFRA

et al. 2022

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This work emphasizes the mechanical and tribological performance of Al-Si/Al2O3/MoS2 hybrid matrix composites. The composites are reinforced by varying weight percentages of Al2O3 (8%, 12%, and 16%) and MoS2 (0%, 2%, and 4%), and were prepared by stir casting. As the weight percentage of Al2O3 in a composite grows, so does its hardness and tensile strength. The addition of 2% wt. MoS2 enhances the specific strength and tribological properties, according to the research. However, when compared to other composites studied, the Al/16% Al2O3 composite had improved mechanical properties. MoS2 also aids the hybrid composite in achieving higher tribological characteristics while marginally lowering the specific strength. Taguchi orthogonal array (L27) is used to design tribological performances with process parameters viz. applied load, sliding speed and weight % of Al2O3 as well the percentage of MoS2 whereas wear rate (mm3/m), wear (µm) and coefficient of friction were considered as the responses. A hybrid Grey–Fuzzy Reasoning Approach (GFRA) is used to optimize a multi-response for avoiding vagueness in decision making. The statistical analysis revealed that Al/2%MoS2/16%Al2O3 composite has exhibited better wear resistance than other composites. The confirmation test is also conducted to validate the optimal condition obtained by ANOVA.

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“…A pertinent research is available on monolithic materials. In recent decades designers / researchers and manufacturers are emphasizing on utilization of wastage obtained from either industrial or agriculture [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Wear Behavioural Response of Al-Limestone Slurry Composite Using Taguchi Orthogonal Array

Lokanadham¹,

Subbaiah²

2020

Tribol. Ind.

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Limestone slurry powder (LSP) is one of the solid wastes generated from stone processing industry, used as reinforcing agent replaced conventional ceramic compounds in Aluminum Metal Matrix composites (AMCs) to increase mechanical and tribological properties. In this work aluminum (Al)-magnesium ( Mg)-silicon (Si) alloy is strengthened with addition of LSP to determining the tribological performance of Al-LSP composites are composed with 4, 8, 12 and 16 % weight ratio, and prepared via double stir casting. The tribological tests were conducted on Pin-on-disc Tester, and used to evaluate sliding wear rate (WR) and coefficient of friction (CF). The results indicate that, the wear rate increased with increase of applied load and sliding velocity, but decreased with increasing LSP. Wear mechanism is observed with increase of applied load and changing from abrasion wear to delamination wear. The dispersoids phase in sub-surfaces, worn-out surface and distribution of LSP in base material are examined by Scanning Electron Microscope (SEM) and optical microscope. Taguchi Orthogonal Array (L25) is considered to estimate an optimal response. Analysis of variance (ANOVA) revealed that the most influencing parameters are sliding distance and working load on WR and CF respectively.

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Wear behavioral assessment of Al-CSAp-MMCs using grey-fuzzy approach

Cited by 38 publications

References 49 publications

Ranking of Al-CSA composite by MCDM approach using AHP–TOPSIS and MOORA methods

Ranking of Al-CSA composite by MCDM approach using AHP–TOPSIS and MOORA methods

Assessment of mechanical and tribological performance of hybrid Al/MoS2/Al2O3 composite by GFRA

Estimation of Wear Behavioural Response of Al-Limestone Slurry Composite Using Taguchi Orthogonal Array

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