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A modified artificial neural network to predict the tribological properties of Al-SiC nanocomposites fabricated by accumulative roll bonding process
Faculty
Engineering
Year:
2023
Type of Publication:
ZU Hosted
Pages:
Authors:
Adel Fathy Meselhy Ibrahiem
Staff Zu Site
Abstract In Staff Site
Journal:
Journal of Composite Materials Sage
Volume:
Keywords :
, modified artificial neural network , predict , tribological
Abstract:
This work highlights the major influence of SiC concentration and plastic deformation on boosting wear rates of aluminum composites supplemented with SiC particles comprising varied volume fractions (0–4%). It also shows how a basic neural network model augmented with a particle swarm optimizer can forecast wear rates and coefficients of friction for complicated composites. According to the experimental findings, increasing the quantity of accumulative roll bonding (ARB) enhances SiC particle dispersion homogeneity. Increasing the number of cycles and introducing additional SiC particles helped to reduce the wear rate and increase the friction coefficient. After nine ARB cycles, the Al-4 wt.% SiC nanocomposite had the best improvement in both wear rate and friction coefficient. The same sample was also used in efforts to enhance the characteristics of hardness, and it was selected as having the highest level of hardness, which has grown by 139%. All of the generated composites evaluated at four different wear loads were able to be predicted by the proposed model with great accuracy, with determination coefficient R2 values of 0.9768 and 0.9869 for the frictional coefficient and wear rates, respectively.
Author Related Publications
Adel Fathy Meselhy Ibrahiem, "Effect of matrix/reinforcement particle size ratio (PSR) on the mechanical properties of extruded Al–SiC composites", Springer, 2014
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Adel Fathy Meselhy Ibrahiem, "The effect of Mg add on morphology and mechanical properties of Al–xMg/10Al2O3 nanocomposite produced by mechanical alloying", Elsevier, 2014
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Adel Fathy Meselhy Ibrahiem, "Effect of Iron Addition on the Microstructure, Mechanical and Magnetic Properties of Al-Matrix Composite Produced by Powder Metallurgy Route", Elsevier, 2014
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Adel Fathy Meselhy Ibrahiem, "Compressive and wear resistance of nanometric alumina reinforced copper matrix composites", SciVerse ScienceDirect, 2011
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Adel Fathy Meselhy Ibrahiem, "Prediction of abrasive wear rate of in situ Cu–Al2O3 nanocomposite using artificial neural networks", Springer-Verlag London Limited, 2011
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Department Related Publications
Adel Fathy Meselhy Ibrahiem, "Effect of some manufacturing parameters on mechanical properties of extruded Al-alumina composites", لايوجد, 1900
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Ashraf Abdelfattah Ali Hassanein, "A novel 3-D graphite structure from thermally stabilized electrospun MWCNTs/PAN nanofibril composite fabrics", International Journal of Advanced Manufacturing Technology, 2014
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Amal Elhosaieny Meselhy Alshorbagy, "Free vibration characteristics of a functionally graded beam by finite element method", www.elsevier.com/locate/apm, 2010
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Mohammed Abdelmoniem Mohamed Eltaher , "Static and buckling analysis of functionally graded Timoshenko nanobeams", www.elsevier.com, 2014
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Tamer Ali Abdella Sebaee, "AN EXPERIMENTAL STUDY ON THE BOLTED JOINT CONNECTIONS IN GFRE [0/90]2S LAMINATES", Minoufiya University, 2009
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