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Assessment criteria of bentonite binding properties

Żymankowska-Kumon S.

Archives of Foundry Engineering

2012

Vol. 12, iss. 3

139-142

The criteria, with which one should be guided at the assessment of the binding properties of bentonites used for moulding sands, are proposed in the paper. Apart from the standard parameter which is the active bentonite content, the unrestrained growth indicator should be taken into account since it seems to be more adequate in the estimation of the sand compression strength. The investigations performed for three kinds of bentonites, applied in the Polish foundry plants, subjected to a high temperature influences indicate, that the pathway of changes of the unrestrained growth indicator is very similar to the pathway of changes of the sand compression strength. Instead, the character of changes of the montmorillonite content in the sand in dependence of the temperature is quite different. The sand exhibits the significant active bentonite content, and the sand compression strength decreases rapidly. The montmorillonite content in bentonite samples was determined by the modern copper complex method of triethylenetetraamine (Cu(II)-TET). Tests were performed for bentonites and for sands with those bentonites subjected to high temperatures influences in a range: 100-700 C.

ANN modelling for the determination of moulding sand matrix grain size

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

Archives of Foundry Engineering

2011

Vol. 11, iss. 4

61-64

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 aim of the investigations was to select the neural network suitable for prediction the moulding sand matrix grain size on the basis of the determined sand properties such as: permeability, compactibility, and compressive strength.

Współczesne maszyny do zagęszczania syntetycznych mas formierskich

Smyksy K., Dańko J., Fedoryszyn A.

Krzepnięcie Metali i Stopów

1999

R. 1, nr 41

59--67

Postęp w zakresie mechanizacji i automatyzacji formowania "na wilgotno" decyduje o ciągłej dominacji tej tradycyjnej technologii odlewniczej. Oferowane obecnie formierki realizują nowoczesne techniki zagęszczania masy, charakteryzujące się korzystnymi efektami technologicznymi. Maszyny spełniają równocześnie wymagania BHP i zapewniają dużą wydajność.