Application of Neural Networks into Prediction of Qualitative Capability of the Preparation Process of Casting Moulds

• Autorzy: Jaworski J. , Kluz R. , Trzepieciński T.
• Języki publikacji: EN

Abstrakty

EN

In the article the problem of assurance of qualitative capability of the preparation process of casting moulds using artificial neural net-works is presented. Using STATISTICA Neural Networks a set of the best networks is found. Obtained results of neural modeling were compared with the results of experimental investigations and classical mathematical modeling. The appropriate architecture of the neural network is chosen that predicts the quality capability of the preparation process of casting moulds with the high precision.

Słowa kluczowe

EN

automation of casting process; robotization of casting process; robot selection

PL

automatyzacja odlewnictwa; robotyzacja procesu odlewania

• Wydawca: Komisja Odlewnictwa Polskiej Akademii Nauk Oddział w Katowicach
• Czasopismo: Archives of Foundry Engineering
• Rocznik: 2014
• Tom: Vol. 14, iss. 1 spec.
• Strony: 9--12
• Opis fizyczny: Bibliogr. 12 poz., rys., tab., wykr.

Twórcy

autor

Jaworski J.

• Department of Manufacturing and Production Engineering, Rzeszow University of Technology, Al. Powstańców War-szawy 8, 35-959 Rzeszów, Poland

autor

Kluz R.

• Department of Manufacturing and Production Engineering, Rzeszow University of Technology, Al. Powstańców War-szawy 8, 35-959 Rzeszów, Poland

autor

Trzepieciński T.

• Department of Materials Forming and Processing, Rzeszow University of Technology, Al. Powstańców Warszawy 8, 35-959 Rzeszów, Poland

Bibliografia

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• [3] Raissi, S. (2009). Multivariate process capability indices on the presence of priority for quality characteristics. Journal of Industrial Engineering International 5(9), 27-39.
• [4] Jaworski, J., Kluz, R. & Trzepieciński, T. (2013). Assurance of quality capability of the preparation process of casting moulds. Archives of Foundry Engineering. 13(12), 61-64.
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• [11] Perzyk M., Biernacki R.(2004). Diagnosis of causes of casting defects with use of statistical methods and neural networks. Archives of Foundry, 4(59).
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