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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...
Project of neural network for steel grade selection with the assumed CCT diagram
Computational Material Science Artificial Intelligence Methods CCT diagram
2010/2/8
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...
Neural Network Analysis of Tensile Strength of Austempered Ductile Iron
Tensile strength Neural network Austempering
2011/3/11
The neural technique was applied to the analysis of the ultimate tensile strength and additionally the yield strength of austempered ductile iron (ADI). Austempered ductile iron is an excellent materi...