پیوندهای مفید
اخبار و اعلانات
آمار
| تعداد نشریات | 163 |
| تعداد شماره‌ها | 6,762 |
| تعداد مقالات | 72,839 |
| تعداد مشاهده مقاله | 131,887,257 |
| تعداد دریافت فایل اصل مقاله | 103,544,068 |
Thermodynamic modeling of Ionic Liquid physical properties | ||
| Journal of Chemical and Petroleum Engineering | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 09 تیر 1404 اصل مقاله (1.31 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jchpe.2025.363284.1446 | ||
| نویسنده | ||
| Alireza Afsharpour* | ||
| Faculty of Chemical and Materials Engineering, Shahrood University of Technology, Shahrood, Iran. | ||
| چکیده | ||
| This research focused on investigating the thermophysical characteristics of seven selected Ionic Liquids (ILs), specifically [Cn-TEA][TFSI], and on creating predictive models for these properties using three different thermodynamic approaches. The PC-SAFT Equation of State (EoS) was employed to estimate density, the FVT model was applied to forecast dynamic viscosity, and the mPelofsky model was utilized to compute surface tension. To enhance the accuracy of these models, experimental data from three ILs with differing alkyl chain lengths were used. A nonlinear least-squares technique was implemented to adjust the model parameters by minimizing the discrepancies between predicted values and experimental results. Following this, a generalized function was formulated to link the optimized model parameters with the number of carbon atoms in the cationic alkyl chains of the ILs. This function allowed for the estimation of model parameters for the remaining four ILs. The performance of the models was evaluated using average absolute deviations (AADs%). The developed models showed strong predictive capability for the thermo-physical properties of the ILs. In the correlation approach, the AADs% were 0.0163 for density, 4.5534 for viscosity, and 0.1731 for surface tension. For the prediction approach, the deviations were somewhat higher at 0.0780% for density, 6.1122% for dynamic viscosity, and 1.2821% for surface tension. These findings suggest that the models are able effectively predict the properties of other ILs within the same chemical family, offering a valuable tool for further studies. Keywords: PC-SAFT, FVT, Ionic Liquids, Density, Viscosity, Surface Tension. | ||
| کلیدواژه‌ها | ||
| PC-SAFT؛ FVT؛ Ionic Liquids؛ Density؛ Viscosity؛ Surface Tension | ||
|
آمار تعداد مشاهده مقاله: 7 تعداد دریافت فایل اصل مقاله: 5 |
||
سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب