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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...
Purpose: This paper presents neural network model used for designing the assumed curve of hardness after carbonizing car drive cross in fluidized bed. This process is very complicated and difficult as...
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...
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...
Purpose: The goal of this work is to develop the neural network model for prediction of properties Ti+TiN, Ti+Ti(C,N) and Ti+TiC coatings obtained in the PVD process. Design/methodology/approach: Neu...

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