Prediction of Properties of Microwave- Hardened Sandmixes Containing Water- Glass with Use of Neural Networks

Abstract

Presented are results of a research on the possibility of using artificial neural networks for forecasting mechanical and technological parameters of moulding sands containing water-glass, hardened in the innovative microwave heating process. Trial predictions were confronted with experimental results of examining sandmixes prepared on the base of high-silica sand, containing various grades of sodium water-glass and additions of a wetting agent. It was found on the grounds of obtained values of tensile strength and permeability that, with use of artificial neural networks, it is possible complex forecasting mechanical and technological properties of these materials after microwave heating and the obtained data will be used in further research works on application of modern analytic methods for designing production technology of high-quality casting cores and moulds.

Keywords

• Foundry engineering
• Artificial neural networks
• Loose self-hardening moulding sand
• Water-glass
• Microwaves