Study on empirical models of isobaric heat capacities and conductivities for ammonium salt-based DESs
In this research, a comparative evaluation of empirical models for the fundamental transport properties of DESs is presented. The detailed knowledge about the properties of DESs is critically important to rationally extend the utilization of DESs. The accurate information about these properties play...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-08-01
|
| Series: | Chemical Engineering Journal Advances |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S266682112100048X |
| _version_ | 1818908828607971328 |
|---|---|
| author | K.J. Suthar M.H. Joshipura |
| author_facet | K.J. Suthar M.H. Joshipura |
| author_sort | K.J. Suthar |
| collection | DOAJ |
| description | In this research, a comparative evaluation of empirical models for the fundamental transport properties of DESs is presented. The detailed knowledge about the properties of DESs is critically important to rationally extend the utilization of DESs. The accurate information about these properties plays a vital role in transferring the laboratory scale applications to large industrial scale. In this regard, the ammonium salt-based 5 DESs were synthesized to study empirical models for conductivities within the temperature range of 298.15 to 323.15 K. The experimental isobaric heat capacity data of 17 ammonium salt-based DESs covering 326-data points with a temperature range of 293.15 to 353.15 K were collected from the open literature. Six models including group contribution – mass connectivity index (GC-MCI) and artificial neural network (ANN) were applied for modeling and predicting heat capacities. The GC-MCI and ANN showed good agreement with the experimental data. The error values of the GC-MCI model (R2 = 0.9863), and AAD = 2.25%) and ANN model (R2 = 0.9982 and AAD = 0.55%) were calculated. Three models were employed for studying conductivities of DESs. Results for conductivities show that the 4-parameters GH model gave low deviation (R2 = 0.9984 and AAD = 2.63%) compared to VFT (R2 = 0.9950 and AAD = 3.11%) and ARH (R2 = 0.9942 and AAD = 5.30%). |
| first_indexed | 2024-12-19T22:17:13Z |
| format | Article |
| id | doaj.art-7beda667a5164720930f1dd457c8e964 |
| institution | Directory Open Access Journal |
| issn | 2666-8211 |
| language | English |
| last_indexed | 2024-12-19T22:17:13Z |
| publishDate | 2021-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Chemical Engineering Journal Advances |
| spelling | doaj.art-7beda667a5164720930f1dd457c8e9642022-12-21T20:03:44ZengElsevierChemical Engineering Journal Advances2666-82112021-08-017100132Study on empirical models of isobaric heat capacities and conductivities for ammonium salt-based DESsK.J. Suthar0M.H. Joshipura1Department of Chemical Engineering, Nirma University, Ahmedabad, IndiaCorresponding author at: Chemical Engineering, Nirma University, Ahmedabad, India.; Department of Chemical Engineering, Nirma University, Ahmedabad, IndiaIn this research, a comparative evaluation of empirical models for the fundamental transport properties of DESs is presented. The detailed knowledge about the properties of DESs is critically important to rationally extend the utilization of DESs. The accurate information about these properties plays a vital role in transferring the laboratory scale applications to large industrial scale. In this regard, the ammonium salt-based 5 DESs were synthesized to study empirical models for conductivities within the temperature range of 298.15 to 323.15 K. The experimental isobaric heat capacity data of 17 ammonium salt-based DESs covering 326-data points with a temperature range of 293.15 to 353.15 K were collected from the open literature. Six models including group contribution – mass connectivity index (GC-MCI) and artificial neural network (ANN) were applied for modeling and predicting heat capacities. The GC-MCI and ANN showed good agreement with the experimental data. The error values of the GC-MCI model (R2 = 0.9863), and AAD = 2.25%) and ANN model (R2 = 0.9982 and AAD = 0.55%) were calculated. Three models were employed for studying conductivities of DESs. Results for conductivities show that the 4-parameters GH model gave low deviation (R2 = 0.9984 and AAD = 2.63%) compared to VFT (R2 = 0.9950 and AAD = 3.11%) and ARH (R2 = 0.9942 and AAD = 5.30%).http://www.sciencedirect.com/science/article/pii/S266682112100048XDESHeat capacityConductivityEmpirical modelsMass connectivityANN |
| spellingShingle | K.J. Suthar M.H. Joshipura Study on empirical models of isobaric heat capacities and conductivities for ammonium salt-based DESs Chemical Engineering Journal Advances DES Heat capacity Conductivity Empirical models Mass connectivity ANN |
| title | Study on empirical models of isobaric heat capacities and conductivities for ammonium salt-based DESs |
| title_full | Study on empirical models of isobaric heat capacities and conductivities for ammonium salt-based DESs |
| title_fullStr | Study on empirical models of isobaric heat capacities and conductivities for ammonium salt-based DESs |
| title_full_unstemmed | Study on empirical models of isobaric heat capacities and conductivities for ammonium salt-based DESs |
| title_short | Study on empirical models of isobaric heat capacities and conductivities for ammonium salt-based DESs |
| title_sort | study on empirical models of isobaric heat capacities and conductivities for ammonium salt based dess |
| topic | DES Heat capacity Conductivity Empirical models Mass connectivity ANN |
| url | http://www.sciencedirect.com/science/article/pii/S266682112100048X |
| work_keys_str_mv | AT kjsuthar studyonempiricalmodelsofisobaricheatcapacitiesandconductivitiesforammoniumsaltbaseddess AT mhjoshipura studyonempiricalmodelsofisobaricheatcapacitiesandconductivitiesforammoniumsaltbaseddess |