Modelling the effect of particle size and iron content on forming of Al–Fe composite preforms using neural network

Selvakumar, N.; Ganesan, P.; Radha, P.; Narayanasamy, R.; Pandey, K.S.

doi:10.1016/j.matdes.2005.05.004

Cited by 20 publications

(9 citation statements)

References 17 publications

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“…Material improvements can be made in most cases, through this technology [17]. Usually, this technology consists of production of controlled blend in metal powders, by pressing suitable die in the mixture, and heating subsequently compacted powder at controlled atmosphere, along with temperature so as to obtain the required strength and density.…”

Section: T Judson Durai M Sivapragash and M Edwin Sahayarajmentioning

confidence: 99%

Corrosion Behaviour of Mg-Zr Alloy in Stimulated Body Fluid

al.¹

2017

IJMPERD

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The Mg-Zr alloy is prepared through powder metallurgy method. The corrosion behavior of Mg-Zr alloy, with various sintering temperature, in stimulated body fluid was studied at 37°C, using immersion and electrochemical corrosion tests. The application of this study is the human body bone implants. The characterization of the alloy was carried out through optical microscopy, XRD (X-ray diffraction) and SEM (scanning electron microcopy). The obtained values reveal that, the crystallite sizes reduce by the increasing sintering temperatures and at the same time, the corrosion rates decrease significantly.

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Section: T Judson Durai M Sivapragash and M Edwin Sahayarajmentioning

confidence: 99%

Corrosion Behaviour of Mg-Zr Alloy in Stimulated Body Fluid

al.¹

2017

IJMPERD

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“…Material improvements can be made in most cases, through this technology [7]. Effective sintering can improve the powders bonding and reduce porosity.…”

Section: Introductionmentioning

confidence: 99%

Effect of Sintering Temperature on Mechanical Properties of Mg-Zr Alloy

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2017

IJMPERD

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Magnesium, Zirconium alloy is developed in three different sintering temperatures through powder metallurgy technique followed by hot extrusion in this work. The application of this material is for orthopedic implants.Magnesium alloy result shows improvement in density, hardness, tensile strength and minimized porosity on increasing sintering temperature. The surface characterization of the alloy is carried out through optical microscopy. The SEM (Scanning Electron Microscope) analysis of fractured surface of Mg alloy shows quasi-cleavage fracture.

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“…Neural networks have been proven to be highly flexible modelling tools, for learning the mathematical model between input variables and output responses for nonlinear systems [14]. The neural network was extensively used by many researchers to predict the physical, mechanical and the tribological properties of composite materials [15][16]. Many literatures pointed out that the ANN approach is a successful analytical tool that can be used to predict the wear behavior of new materials and composites, and concluded that the ANN is a good analytical tool to predict the wear properties [17][18].…”

Section: Introductionmentioning

confidence: 99%