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2 Archives of Foundry Engineering

2 2011

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

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Jakubski J. , Dobosz S. M. , Major-Gabryś K.

2011

tom Vol. 11, iss. 1

49-52

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.

MouldingSandDB - a modern database storing moulding sands properties research results

100%

Jakubski J. , Malinowski P. , Hajduk M.

tom Vol. 11, iss. 1s

21-24

The complexity of foundry processes requires the use of modern, advanced IT tools for optimization, storage and analysis of technical data. Properties of moulding and core sands that are collected in research laboratories, manufacturers, and finally in the foundries, are not in use later on. It seems important to create a database that will allow to use the results stored, along with the possibility of searching according to set criteria, adjusted to casting practice. This paper presents part of the database named "MouldingSandDB", which allows to collect and search data for synthetic moulding sands.