Analysis of influence of chemical composition of Al-Si-Cu casting alloy on formation of casting defects

• Autorzy: Dobrzański L. A. , Krupiński M. , Zarychta P. , Maniara R.
• Języki publikacji: EN

Abstrakty

EN

Purpose: A methodology of the computer-aided determining relationship between chemical composition of aluminium alloy and castings quality was presented in the paper. Design/methodology/approach: To resolve the problem artificial neural networks were used. Classification problems were evaluated by the consideration mainly the values of mistakes and correct answers of networks for test data. On the basis of data analyzed by the neural network, which has the best quality classification of chemical composition of tested material, the concentration of alloying elements range, which have an effect on formation casting defects, were developed to eliminate them in the future. Findings: Combining of all methods making use of chemical composition of aluminium alloy and neural networks will make it possible to achieve a better casting quality. Research limitations/implications: The presented issues may be use, among others, for manufacturers of car subassemblies from light alloys, where meeting the stringent quality requirements ensures the demanded service life of the manufactured products. Originality/value: The correctly specified number of chemical composition of aluminium alloy enables such technological process control where the number of castings defects can be reduced by means of the proper correction of the process.

Słowa kluczowe

EN

Al-Si-Cu alloy; neural networks; casting defects; casting quality

PL

stop AlSiCu; sieci neuronowe; odlew; wady odlewów; jakość odlewów

• Wydawca: International OCSCO World Press
• Czasopismo: Journal of Achievements in Materials and Manufacturing Engineering
• Rocznik: 2007
• Tom: Vol. 21, nr 2
• Strony: 53--56
• Opis fizyczny: Bibliogr. 15 poz., fot., rys.

Twórcy

autor

Dobrzański L. A.

autor

Krupiński M.

autor

Zarychta P.

autor

Maniara R.

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

Bibliografia

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