Sand-sodium-silicate mixtures structured in steam-microwave environment properties prediction

Abstract

Multifactoriality, inequipollent and multi-vector influence of production conditions on castings quality are characteristic features for any foundry technology.These features lead to constant "drift" in time of casting molds and cores properties optimal combination, as well as, of castings quality forming and their production technology factors stability importance and parameters technological significance processing ratio.Therefore, the study devoted to method for properties predicting of sand-sodium-silicate mixtures structured in steam-microwave environment (SMS-process) development is relevant. Purpose.To elaborate sand-sodium-silicate mixtures structured in steam-microwave environment properties calculating methodology. M ethodology.To establish the general structure of expected correspondence between selected parameters, based only on invariance of physical dependence with changing units scales, dimensional analysis -theorem has been used.For this purpose, it has been assumed that some kind of dependence exists between n given physical indices (selected parameters), which form is constant even when units scale changes in some class of units systems.That is, it is equivalent to dependence between smaller number of p=n–k dimensionless quantities, where k is largest quantities number with independent dimensions among original n quantities. Originality.For the first time, methodology for sand-sodium-silicate mixtures structured by SMS-process propertiescalculating has been elaborated.That allows adjusting both mixture composition and its properties at theoretical level. Practical value.Sand-sodium-silicate mixtures, structured according to SMS-process,properties calculatingmethodusing will allow to increase analyze accuracy and mixtures properties forecasting.And if necessary, it is possible to change mixture composition accordingly, to adjust relevant molding and core mixtures production technological parameters, to reduce costs of these mixtures composition optimizing process.