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Influence of moulding sands grain size on the effectiveness of quality control systems

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

Archives of Foundry Engineering

2011

Vol. 11, iss. 2

47-50

One of the modern methods of the production optimisation are artificial neural networks. Neural networks owe their popularity to the fact that they constitute convenient tools, which can be applied in an extremely broad research scope. This is caused by their ability to represent complex functions. Their non-linearity should be specially emphasised. 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 aim of the investigations was to select the neural network suitable for prediction the moulding sand moisture on the basis of the determined sand properties such as: permeability, compactibility, friability and compressive strength in dependence on the matrix grain size.

Modern bentonite bonded molds

Grefhorst C.

Archiwum Odlewnictwa

2006

R. 6, nr 20

51--57

In scope of global competition, foundries must optimise their production to get higher efficiency and less casting defects. At the same time, legislation and community demand reduction of emissions, healthier working conditions and less foundry waste, less burdened with organic pollutions. To achieve this, an optimisation of bentonite-bonded moulding sand is required. Through the use of high standard bentonites and carbonaceous additives moulding performance can be increased and consumption can be decreased. In consequence, this reduces emissions and waste volume.

Większość odlewów żeliwnych produkowanych w UE jest wykonywana w formach z mas z bentonitem zawierających pył węglowy lub dodatki organiczne. Zużycie dodatków nawęglających w odlewniach europejskich wynosi rocznie około 90.000 t. Wszystkie stosowane aktualnie materiały zawierające węgiel emitują po zalaniu niebezpieczne substancje. Odpowiednia selekcja i stosowanie dodatków zawierających mniej substancji lotnych może znacznie ograniczyć tę emisję.