مشخصات پژوهش

صفحه نخست /High pressure data and ...
عنوان High pressure data and PC-SAFT modeling of Amines
نوع پژوهش مقاله ارائه شده کنفرانسی
کلیدواژه‌ها High pressure, PC-SAFT
چکیده The goal of this work was to check the ability of the PC-SAFT equation to capture the thermodynamic ‎properties of several pure substances such as amines. To meet this goal high pressure and ‎temperature density data of three pure amines involving diethylamine, dibutylamine and tributylamine ‎were measured at pressures approximately up to 40 MPa and temperatures up to 473 K that have not ‎been reported in the literature. Highly precise densitometer DMA HP was used for density ‎measurements. The measurements at 25 K intervals and along nineteen isobars were done. Densities ‎of the studied samples at atmospheric pressure were compared to those measured with DMA HP ‎densitometer and they are in good agreement. ‎ As it was expected, as temperature increases, a pure compound density decreases almost linearly at ‎investigated temperature and pressure ranges. Contrarily, density increases with increasing pressure. ‎The similar result obtained for the amines. Experimental values of densities then were correlated by ‎the Tammann–Tait equation and the PC-SAFT equation of state (Perturbed Chain-Statistical ‎Associating Fluid Theory) [1].‎ In general it is found in this project that the parameter estimation is very important for the ‎performance of PC-SAFT EoS, and that emphasis should be put on that area as well as on improving ‎the theory.‎ The SAFT EoS was developed around 25 years ago [2], and a large number of papers on the subject ‎have been published since, but many issues still remain unsolved. An important practical problem is ‎how to obtain consistent and optimal parameters. Different parameter sets give similar pure ‎component liquid density results. The performance of the theory depends significantly on the ‎parameter estimation, and this is important to consider if different theories (or association schemes) ‎are compared [3]. The comparisons show that while the improved theory does improve the predictive ‎performance of the model, the choice of association scheme
پژوهشگران رخساره محمدخانی (نفر اول)، سیده امنه پاک نژاد (نفر دوم)، حسینعلی زارعی (نفر سوم)