Neural network application in simulations of composites Al-Al2O3 tribological properties

• Autorzy: Dobrzański L. , Kremzer M. , Trzaska J. , Włodarczyk-Fligier A.
• Języki publikacji: PL

Abstrakty

EN

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 alloy. Design/methodology/approach: The material for investigations was manufactured by pressure infiltration method of ceramic porous preforms. The eutectic aluminium alloy EN AC – AlSi12 was use as a matrix while as reinforcement were used ceramic preforms manufactured by sintering of Al2O3 Alcoa CL 2500 powder with addition of pore forming agents as carbon fibres Sigrafil C10 M250 UNS manufactured by SGL Carbon Group Company. The wear resistance was measured by the use of device designed in the Institute of Engineering Materials and Biomaterials. The device realize dry friction wear mechanism of reciprocating movement condition. The simulation of load and number of cycles influence on tribological properties was made by the use of neural networks. Findings: The received results show the possibility of obtaining the new composite materials with required tribological properties moreover those properties can by simulated by the use of neural networks. Practical implications: The composite materials made by the developed method can find application among the others in automotive industry as the alternative material for elements fabricated from light metal matrix composite material reinforced with ceramic fibers. Originality/value: Worked out model of neural network can be used as helpful tool to prediction the wear of aluminium matrix composite materials In condition of dry friction.

Słowa kluczowe

PL

komputerowa nauka o materiałach; kompozyty; infiltracja; symulacja; sieć neuronowa

EN

computational materials science; composites; infiltration; simulation; neural networks

• Wydawca: International OCSCO World Press
• Czasopismo: Archives of Materials Science and Engineering
• Rocznik: 2008
• Tom: Vol. 30, nr 1
• Strony: 37--40
• Opis fizyczny: Bibliogr. 15 poz.

Twórcy

autor

Dobrzański L.

autor

Kremzer M.

autor

Trzaska J.

autor

Włodarczyk-Fligier A.

• 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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