Improving the prediction ability of reference correlation for viscosity of carbon dioxide
| Autor: | Ali Barati-Harooni, Adel Najafi-Marghmaleki, Sahar Abdolbaghi |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Work (thermodynamics)
Accurate estimation Process Chemistry and Technology Computer based Thermodynamics Experimental data 02 engineering and technology 010402 general chemistry 021001 nanoscience & nanotechnology 01 natural sciences 0104 chemical sciences Correlation Viscosity chemistry.chemical_compound Temperature and pressure chemistry Carbon dioxide Chemical Engineering (miscellaneous) 0210 nano-technology Waste Management and Disposal Mathematics |
| Zdroj: | Journal of CO2 Utilization. 31:106-114 |
| ISSN: | 2212-9820 |
| Popis: | In this communication, four computer based models are proposed for prediction of the viscosity of CO2. The developed methods can accurately predict the experimental viscosity data with acceptable error. Moreover, the PSO-RBF model presents better and more reliable predictions in comparison with the other models. The models are applicable in the temperature and pressure ranges from 220 K to 700 K and 0.1 MPa to 7960 MPa. The models can also be extrapolated to high temperatures in the case of availability of experimental data. The AARD% values of the PSO-RBF, Hybrid-ANFIS, MLP-NN and CSA-LSSVM models are 0.351%, 2.26%, 0.842% and 0.757%, respectively. Comparison between the developed methods and a literature reference correlation shows that the developed models are able to predict the experimental data with acceptable deviations. The implemented approaches in the present work can be effectively used for engineering applications to access a quick and accurate estimation of the viscosity of CO2. |
| Databáze: | OpenAIRE |
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