Density estimation of pure carbon dioxide at supercritical region and estimation solubility of solid compounds in supercritical carbon dioxide: Correlation approach based on sensitivity analysis

New Functionality for Energy Parameter of Redlich-Kwong Equation of State for Density Calculation of Pure Carbon Dioxide and Ethane in Liquid, Vapor and Supercritical Phases

“…AARD% of the CO 2 densities obtained in this work was compared with AARD% reported in the works of Jouyban et al [8], Bahadori et al [8], Haghbakhsh et al [8] and Heidaryan and Jarrahian [10] to indicate the validity and the advantages of the present model (in Table 5). This comparison shows that all previous models were done only for supercritical phase while the present model is applicable for liquid, vapor and supercritical phases.…”

“…Therefore many researchers have attempted to develop reliable and accurate models for predicting of fluid density. In general, these models can be classified as equations of state [5][6] and empirically correlations [7][8]. For example, the HBT correlations of Chang et al [9] are conventional method of describing the density of n-alkanes.…”

Dimensionless Empirical Model to Correlate Pharmaceutical Compound Solubility in Supercritical Carbon Dioxide

“…New approaches in computational methodology like artificial neural networks and support vector , are able to predict the solubility data with highest accuracy. But to train these models, huge amounts of accurate experimental information is required, which are scarcely available for all temperature and pressure ranges.…”

Investigation of volumetric fluid properties of (heptane + hexadecane) at reservoir conditions

“…The knowledge of thermophysical properties can assist in understanding the nature, pattern, and extent of molecular interactions/ aggregations in the mixtures of concern (Dubey and Sharma, 2008). Such information can help in further developing the current thermodynamic models, as it is impractical to measure the properties within wide ranges of compositions and operating conditions (Amorim et al, 2007;Haghbakhsh et al, 2013). In addition, the knowledge of thermophysical properties of mixtures as a function of composition, temperature and pressure is important for the design, operation, control, and optimization of industrial processes (Amorim et al, 2007;Pe car and Dole cek, 2003).…”