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Neural network application in simulations of composites Al-Al2O3 tribological properties
Computational materials science Composites Infiltration
2009/12/2
Purpose: The purpose of this paper is application of neural networks in tribological properties simulation of
composite materials based on porous ceramic preforms infiltrated by liquid aluminium allo...
Synthesis of polyacrylate/polyethylene glycol interpenetrating network hydrogel and its sorption of heavy-metal ions
hydrogel interpenetrating network polyacrylate/polyethylene glycol
2009/3/31
A simple two-step aqueous polymerization method was introduced to synthesize a polyacrylate/polyethylene glycol (PAC/PEG) interpenetrating network (IPN) hydrogel. On the basis of the effects of the ra...
Project of neural network for steel grade selection with the assumed CCT diagram
Computational Material Science Artificial Intelligence Methods CCT diagram
2008/4/30
Purpose: The aim of this paper was developing a project of neural network for selection of steel grade with the specified CCT diagram – structure and of harness after heat treatment.
Design/methodolo...