Open AccessThermophysical and thermodynamic properties of substances in the gas phase – the basis of the cluster model
Author(s) -
N. G. Borisova,
T. A. Segeda,
M. T. Tumenbaeva
Publication year - 2021
Publication title -
vestnik nacionalʹnoj inženernoj akademii respubliki kazahstan
Language(s) - English
Resource type - Journals
eISSN - 2709-4707
pISSN - 2709-4693
DOI - 10.47533/2020.1606-146x.65
Subject(s) - cluster (spacecraft) , computation , basis (linear algebra) , statistical physics , thermodynamics , phase (matter) , equation of state , computer science , chemistry , physics , mathematics , algorithm , geometry , organic chemistry , programming language
The research is devoted to calculated-theoretical and applied analysis of thermo physical and thermodynamic properties of substances in gaseous phase used in heat-power engineering basing on cluster model. It is impossible to make measurements under all conditions that can be in heat-power engineering practice, so the theory is required that is based on reliable model. Such a model is considered to be a molecular-cluster model and computation schemes have been developed within its frameworks. These are schemes for computation of thermodynamic properties of substances in gaseous phase. The research of gases cluster model properties is due to necessity to develop and apply it with the use of experimental data in certain heat and power processes. Cluster model application is developed for thermodynamic potentials and for calculation of gas heat capacity. The areas of new research aims based on cluster model of a substance are connected with analysing structural compounds – equilibrium and “quasi-reactive”. The provided results have been achieved by analytic method of equation system calculation for clusters of any structure. Besides, it is required to test calculation methods where parameters of cluster model of a substance in gaseous state are considered. In this connection, modern computational program is used that is based on calculation of small, medium, and large clusters under certain state parameters.