Optimization of Tribological Properties in Aluminum Hybrid Metal Matrix Composites Using Gray-Taguchi Method

Dharmalingam, S.; Subramanian, Ramanathan; Vinoth, K. Somasundara; Anandavel, B.

doi:10.1007/s11665-010-9800-4

Cited by 69 publications

(34 citation statements)

References 35 publications

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“…The value of ζ is generally taken as 0.5; hence, the value ζ = 0.5 was used. Grey relational grade was computed by calculating the average of the grey relational coefficients using equation (9) [42].…”

Section: Grey Relational Analysismentioning

confidence: 99%

Artificial Neural Network (FFBP-ANN) Based Grey Relational Analysis for Modeling Dyestuff Solubility in Supercritical CO2 with Ethanol as the Co-Solvent

Srinidhi¹,

Patel²,

A³

2020

Preprint

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The research on dye solubility modeling in supercritical carbon dioxide is gaining prominence over the past few decades. A simple and ubiquitous model that is capable of accurately predicting the solubility in supercritical carbon dioxide would be invaluable for industrial and research applications. In this study, we present such a model for predicting dye solubility in supercritical carbon dioxide with ethanol as the co-solvent for a qualitatively diverse sample of eight dyes. A feed forward back propagation -artificial neural network model based on Levenberg-Marquardt algorithm was constructed with seven input parameters for solubility prediction, the network architecture was optimized to be [7-7-1] with mean absolute error, mean square error, root mean square error and Nash-Sutcliffe coefficient to be 0.026, 0.0016, 0.04 and 0.9588 respectively. Further, Pearson-product moment correlation analysis was performed to assess the relative importance of the parameters considered in the ANN model. A total of twelve prevalent semiempirical equations were also studied to analyze their efficiency in correlating to the solubility of the prepared sample. Mendez-Teja model was found to be relatively efficient with root mean square error and mean absolute error to be 0.094 and 0.0088 respectively. Furthermore, Grey relational analysis was performed and the optimum regime of temperature and pressure were identified with dye solubility as the higher the better performance characteristic. Finally, the dye specific crossover ranges were identified by analysis of isotherms and a strategy for class specific selective dye extraction using supercritical CO2 extraction process is proposed.

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Section: Grey Relational Analysismentioning

confidence: 99%

Artificial Neural Network (FFBP-ANN) Based Grey Relational Analysis for Modeling Dyestuff Solubility in Supercritical CO2 with Ethanol as the Co-Solvent

Srinidhi¹,

Patel²,

A³

2020

Preprint

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“…This method is effectively used to analysis of wear behavior of composites materials [13]. In this study characteristics were taken to finding the minimum wear rate under various applied load and sliding distance conditions.…”

Section: Main Textmentioning

confidence: 99%

Prediction of Wear Behaviour of Almg1sicu Hybrid MMC Using Taguchi with Grey Rational Analysis

Narasimha

Krishna²,

Sindhu³

2014

Procedia Engineering

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In this paper, investigation focuses on preparing hybrid metal matrix composites of AlMg1SiCu alloy as base material by incorporating 9% SiC and varying 3 to 9 % of graphite particulates varying insteps of 3 by vortex method. The wear and frictional properties of metal matrix hybrid composites were studied by performing dry sliding wear test using pin on disc wear test apparatus as per ASTM standards G -99. Experiments were conducted based on the plan of experiments generated through Taguchi's technique. A L9 Orthogonal array was selected for analysis of data. Investigation to find the influence of applied load, sliding speed and track diameter on wear rate as well as coefficient of friction during wearing process was carried out using ANOVA. A mathematical model has been made for all cases that were studied depending on the method of least squares which helps in foretelling about the wear rate through the knowledge of limits as a variable with fixing the other variables Objective of the model was chosen as smaller the better characteristics to analyses the dry sliding wear resistance. The parametric studies indicate that on increase in the percentage of reinforcement; wear rate and coefficient of friction decreases.

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“…Gray-Taguchi method was used by Dharmalingam et.al. in 2011 to investigate the optimization of dry sliding performance of aluminium hybrid metal matrix composites under different loads, sliding speeds and varying percentage of molybdenum disulfide [17].…”

Section: Introductionmentioning

confidence: 99%

Sliding Wear Analysis of Ultra High Strength Steel Using Full Factorial Design Approach

Sharma

Kumar

Shahi

2016

MATEC Web of Conferences

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Abstract. This study describes multi-factor-based experiments that were applied to investigate the sliding wear behaviour of quenched and tempered wear resistant steel. This study was aimed to evaluate the effect of input parameters (such as applied load, sliding velocity and sliding time) on wear rate. Full factorial design through design of experiments approach was used for investigation by establishing an empirical relationship between wear loss and input parameters and determining the optimal combination of testing parameters for minimum and maximum wear losses. Sliding wear tests were carried out using pin-on-disc type apparatus at room temperature under dry sliding wear conditions. Detailed investigation revealed that applied load was the most significant factor affecting the wear performance followed by sliding velocity and sliding time. The maximum weight loss due to wear was found to be 33.48 mg when experimentation was conducted at maximum levels of input variables and minimum wear loss of 3.12 mg was obtained at the minimum levels of load, sliding velocity and sliding time. The scanning electron microscopy of the worn pin surfaces shows that adhesion and plastic deformation were the dominating mechanisms involved during experimentation that resulted in maximum wear of the pins, and on the other hand no such mechanism persisted when the pins were worn under minimum sliding wear conditions.

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Optimization of Tribological Properties in Aluminum Hybrid Metal Matrix Composites Using Gray-Taguchi Method

Cited by 69 publications

References 35 publications

Artificial Neural Network (FFBP-ANN) Based Grey Relational Analysis for Modeling Dyestuff Solubility in Supercritical CO2 with Ethanol as the Co-Solvent

Artificial Neural Network (FFBP-ANN) Based Grey Relational Analysis for Modeling Dyestuff Solubility in Supercritical CO2 with Ethanol as the Co-Solvent

Prediction of Wear Behaviour of Almg1sicu Hybrid MMC Using Taguchi with Grey Rational Analysis

Sliding Wear Analysis of Ultra High Strength Steel Using Full Factorial Design Approach

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