in this work an analytical equation of state has been employed to calculate the pvt properties ofternary refrigerant mixtures. the theoretical eos is that of ihm, song and mason, which is based onstatistical-mechanical perturbation theory, and the two constants are enthalpy of vaporization δhvapand molar density ρnb, both at the normal boiling temperature. the following three temperaturedepende...

A semi-empirical equation of state has been studied for modelling vapour-liquid data of pure substances. The specific molecular based equation of state is employed here as basis because of its mathematical simplicity. The semi-empirical extension has been accomplished to real fluids by correlating the density dependence of the attraction term to vapour liquid data of a reference fluid. The resu...

the development of the dynamical core of a potential-vorticity-based atmospheric general circulation model is explored. there are some advantages of using potential vorticity (pv) as a prognostic variable in that the resulting model can give more accurate simulation of the evolution of pv, as arguably the most fundamental dynamical quantity. further, there is possibility of explicit representat...

We consider chemical reaction networks taken with mass-action kinetics. The steady states of such a system are solutions to a system of polynomial equations. Even for small systems the task of finding the solutions is daunting. We develop an algebraic framework and procedure for linear elimination of variables. The procedure reduces the variables in the system to a set of “core” variables by el...

The frequency behavior of the tunnel injection quantum dot vertical cavitysurface emitting laser (TIQD-VCSEL) is investigated by using an analyticalnumericalmethod on the modulation transfer function. The function is based on therate equations and is decomposed into components related to different energy levelsinside the quantum dot and injection well. In this way, the effect of the tunnelingpr...

Statistical mechanical and artificial intelligence models are developed to predict the volumetric properties of lubricants under different conditions. It is shown that the knowledge of just liquid density at room temperature is satisfactory to approximate the PVT properties of pure lubricants in various conditions. As well, the performance of an artificial neural network (ANN) based on back pro...