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

• Autorzy: Dobrzański L. A. , Tański T. , Trzaska J. , Čížek L.
• Języki publikacji: EN

Abstrakty

EN

Purpose: In the following paper there have been presented the optimisation of heat treatment condition and structure of the MCMgAl12Zn1, MCMgAl9Zn1, MCMgAl6Zn1, MCMgAl3Zn1 magnesium cast alloy as-cast state and after a heat treatment. Design/methodology/approach: Working out of a neural network model for simulation of influence of temperature, solution heat treatment and ageing time and aluminium content on hardness of the analyzed magnesium cast alloys. 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/implications: According to the alloys characteristic, the applied cooling rate and alloy additions seems to be a good compromise for mechanical properties and microstructures, nevertheless further tests should be carried out in order to examine different cooling rates and parameters of solution treatment process and aging process. Practical implications: For comparison of the achieved results on the basis of the performed investigations a computer neural network model was used for analysis of the aluminium content and heat treatment parameters influence on the properties of the worked out cast magnesium alloys. Originality/value: The advantage of the neural networks is their capability to learn and adapt to the changing condition, as well as their capability to generalise the acquired knowledge.

Słowa kluczowe

EN

heat treatment; mechanical properties; artificial neural networks; magnesium alloys

PL

obróbka cieplna; właściwości mechaniczne; sztuczne sieci neuronowe; stopy magnezu

• Wydawca: International OCSCO World Press
• Czasopismo: Journal of Achievements in Materials and Manufacturing Engineering
• Rocznik: 2008
• Tom: Vol. 26, nr 2
• Strony: 187--190
• Opis fizyczny: Bibliogr. 15 poz., tab., wykr.

Twórcy

autor

Dobrzański L. A.

autor

Tański T.

autor

Trzaska J.

autor

Čížek L.

• Division of Materials Processing Technology, Management and Computer Techniques in Materials Science, Institute of Engineering Materials and Biomaterials, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland,

Bibliografia

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