Active binder content as a factor of the control system of the moulding sand quality

• Autorzy: Jakubski J. , Dobosz S. M. , Major-Gabryś K.
• Języki publikacji: EN

Abstrakty

EN

One of the modern methods of the production optimisation are artificial neural networks. Neural networks are gaining broader and broader application in the foundry industry, among others for controlling melting processes in cupolas and in arc furnaces, for designing castings and supply systems, for controlling moulding sand processing, for predicting properties of cast alloys or selecting parameters of pressure castings. An attempt to apply neural networks for controlling the quality of bentonite moulding sands is presented in this paper. This is the assessment method of sands suitability by means of detecting correlations between their individual parameters. The presented investigations were obtained by using the Statistica 9.0 program. The presented investigations were aimed at the selection of the neural network able to predict the active bentonite content in the moulding sand on the basis of this sand properties such as: permeability, compactibility and the compressive strength. An application of the Statistica program allowed to select automatically the type of network proper for the representation of dependencies occurring in between the proposed moulding sand parameters. The most advantageous conditions were obtained for the uni-directional multi-layer perception (MLP) network. Knowledge of the neural network sensitivity to individual moulding sand parameters, allowed to eliminate not essential ones.

Słowa kluczowe

EN

quality management; green moulding sand; artificial neural networks

PL

zarządzanie jakością; piasek formierski; sztuczna sieć neuronowa

• Wydawca: Komisja Odlewnictwa Polskiej Akademii Nauk Oddział w Katowicach
• Czasopismo: Archives of Foundry Engineering
• Rocznik: 2011
• Tom: Vol. 11, iss. 1
• Strony: 49--52
• Opis fizyczny: Bibliogr. 12 poz., wykr.

Twórcy

autor

Jakubski J.

autor

Dobosz S. M.

autor

Major-Gabryś K.

• Faculty of Foundry Engineering, University of Science and Technology AGH, al. Mickiewicza 30, 30-059 Kraków, Poland,

Bibliografia

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