Phase transition retrieval through in-situ observations

Abstract

Abstract Liquid transfer features in heating moisture-contenting materials are studied as a problem of phase transition retrieval by observations of specimen moisture state. The processing method is designed under the condition that a given sample weakly reflects the observed state changes. This requires a high-resolution processing, which is considered as a best consistency with observations. Regularization is applied to account for the ill-conditioned discretization of the mathematical model of the phenomenon and to ensure the approximation of a reconstructed function using a high-dimensional basis. The experimental data processing by the proposed method demonstrates for the first time that thin layer drying can involve a sequence of phase transitions. This causes a drop in the drying rate, which prevents moisture removal. Traditional processing of the experimentally determined drying curve and its direct differentiation do not reflect cases of mass transfer blocking and lead to a restricted interpretation of the experimental data. The application of traditional thermal models in the high-resolution conceptual processing of in-situ observations yields significant information about latent phenomena.