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Prediction of the tensile properties of ultrafine grained Al–SiC nanocomposites using machine learning
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 Materials Research and Technology Elsevier
Volume:
Keywords :
Prediction , , tensile properties , ultrafine grained Al–SiC
Abstract:
We discovered and analyzed the new prediction model by using machine learning (ML) for the tensile strength of aluminum nanocomposites reinforced with μ-SiC particles fabricated by accumulative roll bonding (ARB). The effect of the number of cycles and SiC content on the microstructure, phase analysis, tensile, and hardness properties have been investigated for the ARBed sheets and their composites. The experimental results showed the distribution of SiC particles improved by increasing ARB passes. The ARB approach greatly enhanced the ultimate tensile strength (UTS), yield strength (YS), and hardness. The UTS achieved was 254 MPa for 4% SiC after 9 ARB cycles. The hardness values of the ARBed AA1050, and AA1050-4 wt% SiC are 60, and 76.5, respectively, after 9 ARB cycles. The modified version of random vector functional link based on Growth Optimizer Algorithm is developed as a machine-learning model to predict the tensile properties of the produced composites. The efficiency of the developed ML model is evaluated with other methods according to the performance criteria.
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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