A feed forward neural network model is applied to forecast the saturation thermodynamic properties of propene. The method has been used to estimate thermodynamic properties including the heat capacity, Joule-Thomson coefficient, viscosity, thermal conductivity and surface tension. Conducted experimental investigations show applicability of the proposed approach. Comparing with other theoretical...

We study the Joule-Thomson expansion in Einstein-Maxwell theory supplemented with so-called quasitopological electromagnetism, this extended phase space thermodynamic approach. compute coefficient and depict all relevant inversion isenthalpic curves temperature-pressure plane, determining manner corresponding cooling heating regions. In contrast previous related works we show existence of three...

This paper investigates thermoelectric interface demarcation during directional solidi cation of Bismuth with varying gravitationally-dependent buoyancy convection. A physicsbased computer model is developed in which gravitational, thermoelectric and magnetohydrodynamic e ects are included. To help design our ongoing experimental tests, numerical simulations of directional solidi cation in a Br...

The gas lift in the offshore M field will be performed with high CO2-content associated gas, but change of wellbore temperature and pressure during injection process lead to phase physical parameters which has a great impact on design lift. To ensure smooth implementation field, this paper conducts study considering CO2 state. We obtained density, viscosity, compression factor, constant specifi...