May 2013

Implementation of neural network for monitoring and prediction of surface roughness in a virtual end milling process of a CNC vertical milling machine

  This paper presents a real time simulation for virtual end milling process. Alyuda NeuroIntelligence was used to design and implement an artificial neural network. Artificial neural networks (ANN’s) is an approach to evolve an efficient model for estimation of surface roughness, based on a set of input cutting conditions. Neural network algorithms are developed for use as a direct modeling method, to...

Author(s): Hossam M. Abd El-rahman, R. M. El-Zahry and Y. B. Mahdy

May 2013

Effects of viscosity on phase separation of liquid mixtures with a critical point of miscibility

  After quenching a high-viscosity partially miscible critical liquid mixture to a temperature far below the critical point, we observed the formation of rapidly coalescing droplets, whose size grew linearly with time, indicating that phase separation process is driven byconvection. As predicted by the diffuse interface...

Author(s): Filomena Califano and Nicole James

May 2013

Potential research of carbon (iv) oxide enhanced oil recovery (CO2-EOR) in Middle East

  Anthropological carbon (iv) oxide (CO2) emissions to the atmosphere are identified as amajor driver for the global warming effect. Major CO2 emissions sources are locatedwithin power and industrial sectors where fossil fuels are consumed to generate...

Author(s): Meshal Algharaib