Modelling of hardness prediction of magnesium alloys using artificial neural networks application

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F08%3A00019513" target="_blank" >RIV/61989100:27360/08:00019513 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Modelling of hardness prediction of magnesium alloys using artificial neural networks application

Original language description

In the following paper there have been presented the optimisation conditions of heat treatment of the magnesium alloys AZ 91, AZ 61 and AZ 31. Working out of neural network model for simulation of influence of temperature and conditions of heat treatmentand aluminium content on hardness of the analyzed magnesium alloys as cast state and after heat treatment. The different heat treatment conditions employed contributed to the improvement of mechanical properties of the alloys with the slight reduction of its mechanical properties.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JG - Metallurgy, metal materials

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2008

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Achievements in Materials and Manufacturing Engineering

ISSN

1734-8412

e-ISSN

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Volume of the periodical

26

Issue of the periodical within the volume

2

Country of publishing house

PL - POLAND

Number of pages

4

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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