Effect of Cyrtostachys renda Fiber Loading on the Mechanical, Morphology, and Flammability Properties of Multi-Walled Carbon Nanotubes/Phenolic Bio-Composites

Loganathan, Tamil Moli; Sultan, Mohamed Thariq Hameed; Ahsan, Q.; Jawaid, Mohammad; Naveen, J.; Shah, Ain Umaira Md; Talib, Ahmad; Basri, Adi Azriff; Jaafar, Che Nor Aiza

doi:10.3390/nano11113049

Cited by 6 publications

(5 citation statements)

References 71 publications

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“…It has been shown that nanoparticles [31,32], polymers [33][34][35][36], and nanocomposites [37] could be used for water treatment. TOPSIS has been used for the selection of polymers [38][39][40][41], nanomaterials [42][43][44], and machine process parameters [45]. It has been shown to be efficient for optimizing analytic procedures and normalization methods [46,47], and materials [48][49][50][51][52].…”

Section: Resultsmentioning

confidence: 99%

Automated Decision-Making with TOPSIS for Water Analysis

Javanbakht

2022

JES

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This paper aims to present a new application of TOPSIS with an automated decision-making process for the analysis of drinking water. For this purpose, the algorithm was modified with a fuzzy disjunction, and the maximal output values were set to one. The properties of drinking water, such as total dissolved solids, hardness, electrical conductivity, and cost, were the criteria analyzed in this study. These criteria were analyzed with unmodified and modified algorithms. Therefore, the modified TOPSIS was also used to optimize the parameters of the candidates. The appearance of the value of 1.0 in the algorithm’s output was due to the confusion of an individual’s categories of drinking water and undrinkable water. The advantage of this investigation was that, for the first time, it allowed automated decision-making to detect the drinking water in different samples and analyze them according to their characteristics. This would be important in developing new technologies for detecting and analyzing drinking water in the environment. The results of this paper can be applied in materials sciences and engineering.

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Section: Resultsmentioning

confidence: 99%

Automated Decision-Making with TOPSIS for Water Analysis

Javanbakht

2022

JES

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“…During recent years, TOPSIS has been used for the optimization and analysis of polymers [50][51][52][53], nanomaterials [54][55][56], and machine process or operation parameters [57][58][59][60]. More investigations would be required to develop this algorithm for the manufacturing optimization of materials and their preparation procedures for environmental studies.…”

Section: Discussionmentioning

confidence: 99%

A Novel Automated Decision-Making Process for Analysis of Ions and Organic Materials in Drinking Water

Javanbakht

2023

JES

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This paper applies a novel automated decision-making process with TOPSIS to analyze ions and organic materials in drinking water. The hypothesis was that the modified TOPSIS algorithm with the Łukasiewicz fuzzy disjunction would be appropriate to optimize the drinking water samples. The maximum output values were set to one to apply the fuzzy disjunction. The concentrations of ions and organic materials in the drinking water samples were considered from the values for naturally occurring chemicals that would be of health significance. Materials with positive effects on the body were considered profit criteria, whereas other ones with negative impacts on human health were considered cost criteria. The analysis of samples with unmodified TOPSIS showed that profit criteria having high concentrations and cost criteria having low concentrations had the dominant effects on the candidates’ ranking. The modified TOPSIS showed that the candidates’ ranking in the second analysis series was the same as in the first. However, the value of 1.0 for the fourth candidate’s concentration of nitrite, which resulted from the fuzzy disjunction in the algorithm of the modified TOPSIS, was attributed to the confusion of the drinking water and undrinkable water categories. The optimization results for drinking water samples could be applied in science and engineering based on the concentrations of their ions and organic materials with the automated decision-making process for their distinction from undrinkable water.

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“…Additionally it is found that a group led by Loganathan also reported in their multiple studies about possible improvements in mechanical, tribological, and thermal properties for a hybrid of fiber reinforcements and carbon nano fillers in phenolic resin nanocomposites using mechanical ball milling (dry dispersion) has been reported. 138,178,179 Moreover, there were numerous works that used different methods to process the dispersion of unmodified or modified nanocarbon reinforcements/fillers in phenolic matrix nanocomposite such as CVD, ball milling, sonication, or hybridizations thereof. [180][181][182][183][184][185][186]…”

Section: Nanocarbon Modifier (Wt%)mentioning

confidence: 99%

The effect of nanocarbon inclusion on mechanical, tribological, and thermal properties of phenolic resin‐based composites: An overview

Adem,

Panjiar,

Daniel

2024

Engineering Reports

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Nanocarbons including carbon nanotubes, graphene oxide, reduced graphene oxide and particularly graphene have unique properties such as high mechanical strength, thermally stable, highly conducting, high friction stability and lower specific wear rates, which can potentially provide synergically improved performance of advanced engineering materials and technologies for various fields of applications such as automotive, aerospace, and other industrial components. Development of phenolic resin‐based nanocomposites comprised of nanocarbon material remained as a research focus to outperform different properties of conventional material based components. In application, phenolic resin is the most popular binder in frictional components development such as brake pads, brake linings, and clutch facings, particularly used in many of light and medium automotive brake pad applications. Specifically, the present review study aims to provide thorough discussion on the mechanical, tribological, and thermal performances of phenolic resin‐based nanocomposites containing nanocarbon as a property modifier by comparing with the neat phenolic resin or with the composite containing other micro ingredients. As per presented overview, the analysis shows the significant improvement in some required application‐based properties of phenolic resin‐based nanocomposites such as tensile strength, young's modulus, impact strength, specific wear rate reduction, residue yield, and thermal conductivity due to the inclusion of nanocarbon, where the content of nanocarbons ranges about 0.5 wt% to 5 wt%. Hence nanocomposites synthesized using phenolic resin matrix with nanocarbons fillers found to have better mechanical strength, better wear resistance, and thermal stabilities when compared to pure phenolic resin and other composites.

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Effect of Cyrtostachys renda Fiber Loading on the Mechanical, Morphology, and Flammability Properties of Multi-Walled Carbon Nanotubes/Phenolic Bio-Composites

Cited by 6 publications

References 71 publications

Automated Decision-Making with TOPSIS for Water Analysis

Automated Decision-Making with TOPSIS for Water Analysis

A Novel Automated Decision-Making Process for Analysis of Ions and Organic Materials in Drinking Water

The effect of nanocarbon inclusion on mechanical, tribological, and thermal properties of phenolic resin‐based composites: An overview

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