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Application of artificial neural networks in modelling of quenched and tempered structural steels mechanical properties
artificial neural networks modelling quenched structural steels
2010/8/12
The material mechanical properties prediction possibility is valuable for manufacturers and design engineers. That is why over one year ago, in [1] modelling results of normalised
structural steels m...
Application of the artificial neural networks for prediction of magnetic saturation of metallic amorphous alloys
Computational material science Artificial neural networks Amorphous materials
2009/12/2
Purpose: The aim of the work is to employ the artificial neural networks for prediction of magnetic saturation of
the amorphous alloys with the iron and cobalt matrix.
Design/methodology/approach: I...
Modelling of hardness prediction of magnesium alloys using artificial neural networks applications
Heat treatment Mechanical properties Artificial neural networks
2010/2/8
Findings: The different heat treatment kinds employed contributed to the improvement of mechanical properties of the alloy with the slight reduction of its plastic properties.
Research limitations/im...