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Adel Mahamood Hassan

Researcher at Jordan University of Science and Technology

Publications -  7
Citations -  505

Adel Mahamood Hassan is an academic researcher from Jordan University of Science and Technology. The author has contributed to research in topics: Silicon carbide & Surface roughness. The author has an hindex of 6, co-authored 7 publications receiving 444 citations.

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Prediction of density, porosity and hardness in aluminum–copper-based composite materials using artificial neural network

TL;DR: In this paper, the authors used feed forward backpropagation neural network in prediction of some physical properties and hardness of aluminium-copper/silicon carbide composites synthesized by compocasting method.
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Wear behavior of Al-Mg-Cu-based composites containing SiC particles

TL;DR: In this article, the effects of adding copper as alloying element and silicon carbide as reinforcement particles to Al-4-wt% Mg metal matrix were investigated at room conditions at a pressure of 3.18-MPa and a sliding speed of 0.393m/s using a pin-on-disk wear testing machine.
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Burnishing force and number of ball passes for the optimum surface finish of brass components

TL;DR: In this paper, a mathematical model was established to correlate the most pronounced parameters, i.e., the burnishing force and the number of tool passes, with the surface finish, and the model predicted that an optimum surface finish of 0.172 μm can be obtained when burnishing at a force of 20.7 kgf (203 N).
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Prediction of tribological behavior of aluminum–copper based composite using artificial neural network

TL;DR: In this article, the potential of using neural network in prediction of wear loss quantities of some aluminum-copper-silicon carbide composite materials has been studied in the present work.
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Wear behavior of Al–Cu and Al–Cu/SiC components produced by powder metallurgy

TL;DR: In this paper, the dry sliding wear behavior of some powder metallurgy (P/M) Al-Mg-Cu alloys with different weight percentage of Cu (0, 1, 2, 3, 4, and 5 wt%) and corresponding metal matrix composites reinforced with 5 or 10 vol% silicon carbide particles (SiC) have been carried out using pin-on-disk apparatus.