2014
DOI: 10.1016/j.ceramint.2014.01.103
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Toughness prediction in functionally graded Al6061/SiCp composites produced by roll-bonding

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Cited by 54 publications
(19 citation statements)
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References 39 publications
(42 reference statements)
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“…Also, the Al6061-SiC produced by powder metallurgy by Lee et al [20], because of microporosity, had lower mechanical properties. However, FG Al6061-SiC produced using roll bonding by Pouraliakbar et al [21] had higher mechanical properties than produced FG composite in the present work. It could be due to severe plastic induced during roll bonding and tough bonding between layers of Al-SiC.…”
Section: Tensile Propertiesmentioning
confidence: 50%
“…Also, the Al6061-SiC produced by powder metallurgy by Lee et al [20], because of microporosity, had lower mechanical properties. However, FG Al6061-SiC produced using roll bonding by Pouraliakbar et al [21] had higher mechanical properties than produced FG composite in the present work. It could be due to severe plastic induced during roll bonding and tough bonding between layers of Al-SiC.…”
Section: Tensile Propertiesmentioning
confidence: 50%
“…The current model adopts a non-linear mapping method to setup models directly according to input and output data. In this respect, extensive research activities were made to optimize many industrial processes using ANN [32]. The obtained results could be discussed as the use of neural network exhibit excellent accuracy in predicting the layer thickness out-puts and as already stated, there are many contributing factors in thickness that cannot be considered in the mathematical modeling but they can be easily incorporated in ANN modeling.…”
Section: Results Of Ann Modelmentioning
confidence: 95%
“…Recently, neural networks have been used in the areas that require computational techniques, such as pattern recognition, optical character recognition, predicting outcomes, and problem classification [29,30]. However, in materials science and engineering fields, the researchers have used ANN-based techniques to develop prediction models for different properties of materials [31][32][33][34][35][36][37][38].…”
Section: Introductionmentioning
confidence: 99%
“…The ability of using conventional processing techniques such as extrusion, forging and rolling makes DRAs notable candidate for a wide range of applications in the automobile, aerospace and electrical industries [4][5][6][7]. On other hand, the disc brakes represents a complex tribosystem, with the brake rotors forced into contact with brake pads that are usually composite materials with improved thermal characteristics.…”
Section: Introductionmentioning
confidence: 99%