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

Raju, S. S. S. V. Gopala; Murali, Gunji Bala; Patnaik, Prabina Kumar

doi:10.1177/0731684420924833

Cited by 34 publications

(15 citation statements)

References 36 publications

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“…The pin and disc were cleaned with acetone before and after wear. The wear rate determines the quantity of wear loss/volume loss or linear dimension change per unit of normal force per sliding distance applied-the wear rate measured in mm 3 /m [2,24]. The COF of the specimens has been recorded automatically throughout the test.…”

Section: Materials Testing and Methodsmentioning

confidence: 99%

“…It is difficult to obtain all of those previously established qualities using traditional materials. A number of economic benefits have been associated with aluminium matrix composites, being good modulus of elasticity, wear resistance, low cost, high strength, and thermal conductivity, along with use in aircraft, space, defence, and automobiles [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

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Fabrication and Modelling of Tribological Performance of Al-Si/12Al2O3/2MoS2 Composite using Taguchi Technique

Vuddagiri¹,

Srinivas

Sagari

et al. 2021

IJAME

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This paper investigates the effect of mechanical, microstructural and dry sliding wear behaviour of Al-Si/2wt%MoS2, Al-Si/12wt%Al2O3, and Al-Si/12wt% Al2O3/2wt%MoS2 composites that prepared using the stir-casting route. To avoid friction and wear at the interfaces of materials, an attempt has been made by adding solid lubricant MoS2 to build such a self-lubricating composite with Al-matrix. The tribological analysis has been described based on the Taguchi orthogonal array (L27). Three variables combination such as sliding velocity, sliding distance and contact pressure are used for this study to determine the tribological responses, i.e. wear rate and coefficient of friction. The properties of composites were improved by increasing the weight % of MoS2 and Al2O3. The tensile strength of Al-Si/2MoS2, Al-Si/12Al2O3, and Al-Si/12 Al2O3/2MoS2 composites is 6.02%, 12.46%, and 2.44% compared to the base matrix. The addition of MoS2 helps the hybrid composite to attain better tribological properties with a slightly lower specific strength. Analysis of variance showed that the composites such as Al-Si/2 MoS2 and Al-Si/12Al2O3/2MoS2 were strongly influenced by the pressure in wear rate. Similarly, sliding velocity affects the coefficient of friction for Al-Si/2MoS2. Wear tracks formed during the dry slide process were analysed using optical and SEM with an EDS. It was discovered that pressure plays a vital effect in the wear mechanism. The hybrid composite (Al-Si/12 Al2O3/2MoS2) material can be utilised in place of conventional materials in tribological demanding automotive applications

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Section: Materials Testing and Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fabrication and Modelling of Tribological Performance of Al-Si/12Al2O3/2MoS2 Composite using Taguchi Technique

Vuddagiri¹,

Srinivas

Sagari

et al. 2021

IJAME

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show abstract

“…Öktem and Shinde [25] evaluated the tribological performance of brake friction materials using genetic algorithm and MCDM approaches. Raju et al [26] used TOPSIS and MOORA to evaluate the mechanical and tribological performance of several aluminum composites manufactured by the stir casting process. Khan and Dey [27] employed gray relation analysis to select the optimal process parameters for wear performance improvement of aluminum composites.…”

Section: Multi-criteria Decision Makingmentioning

confidence: 99%

Optimization of Process Parameters for Friction Materials Using Multi-Criteria Decision Making: A Comparative Analysis

Shinde¹,

Öktem

Kalita

et al. 2021

Processes

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Friction materials, mainly made of reinforced composites, should possess excellent physical and tribological properties, such as a higher coefficient of friction, minimum wear, adequate surface hardness, and higher porosity for various automotive brake applications. Attainment of those properties greatly depends on the settings of different input parameters, such as molding pressure, temperature and time, temperature and time of heat treatment/sintering, etc., during the processing of friction materials. In this article, four multi-criteria decision-making (MCDM) tools, i.e., technique for order of preference by similarity to ideal solution (TOPSIS), evaluation based on distance from average solution (EDAS), VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), and multi-objective optimization on the basis of ratio analysis (MOORA) are applied to identify the optimal parametric combinations for two different friction materials. A comparative analysis of the derived results suggests the same optimal parametric mixes for all the MCDM techniques for both case studies. Thus, for the considered case studies, the optimal parametric combinations as molding time = 8 min, molding temperature = 175 °C, molding pressure = 27 MPa, sintering time = 10 h and sintering temperature = 225 °C, and molding pressure = 27.90 MPa, molding temperature = 170 °C, curing time = 8 min, and heat treatment time = 1 h, respectively, would help in attaining the most desired properties of friction materials. Improvements in the predicted response values prove the efficacy of the adopted MCDM techniques in determining the optimal combinations of various process parameters for friction materials.

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“…Multi-criteria decision making with the MOORA technique is generally considered an invaluable tool for optimising the best alternatives and identifying the most viable substitute within a given number of options [76,77]. It generally attains a higher degree of efficiency in the rating and selection of alternatives as it is virtually free of complexity [78].…”

Section: Mooramentioning

confidence: 99%

A spatial reconnaissance survey for gold exploration in a schist belt

Tende

Aminu

Amuda

et al. 2021

Heliyon

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Geological data integration and spatial analysis for structural elucidation are more assertive approaches for reconnaissance scale mineral exploration. In this study, several methods involving Fry analysis, distance correlation analysis, prediction area plots as well as knowledge driven predictive models including TOPSIS, ARAS and MOORA were systematically employed for unravelling the spatial geological attributes related to gold mineralisation. Additionally, statistical validation of knowledge driven predictive models were implemented using the Receiver Operating Characteristic/Area Under Curve analysis (ROC/AUC). The evidence from Fry and distance correlation analysis suggests that gold occurrence within parts of the Malumfashi schist belt of Nigeria is defined by a strong spatial association with the ENE-WSW as well as the NNE-SSW trending structures. The prediction area plot also revealed a robust spatial correlation between mineral occurrence and spatial data related to geological structures. The application of knowledge driven predictive models suggest a high favourability for gold occurrence within the southern, central, and north-eastern parts of the study location, while statistical validation using the ROC/AUC curves suggest a high prediction accuracy greater than 70% for all models. The geospatial analysis for mineral exploration within the Malumfashi area has unveiled an invaluable geological criterion for gold targeting with a considerable level of certainty.

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

Cited by 34 publications

References 36 publications

Fabrication and Modelling of Tribological Performance of Al-Si/12Al2O3/2MoS2 Composite using Taguchi Technique

Fabrication and Modelling of Tribological Performance of Al-Si/12Al2O3/2MoS2 Composite using Taguchi Technique

Optimization of Process Parameters for Friction Materials Using Multi-Criteria Decision Making: A Comparative Analysis

A spatial reconnaissance survey for gold exploration in a schist belt

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