Thermal Conductivity and Rheology of Graphene Oxide Nanofluids and a Modified Predication Model
In order to reveal the heat transfer performance of nanofluids in solar collectors, the thermal conductivity and dynamic viscosity of five kinds of graphene oxide nanofluids, with a mass fraction of 0.002% to 0.01%, were studied in the temperature range of 25–50 °C. To ensure the dispersion and stab...
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MDPI AG
2022-03-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/7/3567 |
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| author | Xinyu Mei Xin Sha Dengwei Jing Lijing Ma |
| author_facet | Xinyu Mei Xin Sha Dengwei Jing Lijing Ma |
| author_sort | Xinyu Mei |
| collection | DOAJ |
| description | In order to reveal the heat transfer performance of nanofluids in solar collectors, the thermal conductivity and dynamic viscosity of five kinds of graphene oxide nanofluids, with a mass fraction of 0.002% to 0.01%, were studied in the temperature range of 25–50 °C. To ensure the dispersion and stability of the prepared nanofluids, UV–Vis absorption spectrum, zeta potential and particle size distribution were employed for nanofluid characterization. Agglomeration and sedimentation of the prepared nanofluids after standing for 20 days were observed, showing the good stability of the prepared graphene oxide–water nanofluid. The dynamic viscosity and thermal conductivity were measured. They show that with the increase in temperature, the dynamic viscosity of nanofluids decreases and the thermal conductivity increases. With the increase in mass concentration, the viscosity and thermal conductivity are improved. The highest thermal conductivity increase is obtained when the nanofluid concentration is 0.01% and the temperature is 50 °C. Finally, and most importantly, considering the inaccuracy of the existing experimental correlations to the predicted values of thermal conductivity, we propose our new mathematical model of correlation and carry out a series of tests to verify its reliability. The experimental correlations with temperature and concentration as independent variables show good agreement and accuracy with the experimental data. |
| first_indexed | 2024-03-09T12:06:22Z |
| format | Article |
| id | doaj.art-1f7ee96ade204b779e093570537eb6a2 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T12:06:22Z |
| publishDate | 2022-03-01 |
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| series | Applied Sciences |
| spelling | doaj.art-1f7ee96ade204b779e093570537eb6a22023-11-30T22:57:32ZengMDPI AGApplied Sciences2076-34172022-03-01127356710.3390/app12073567Thermal Conductivity and Rheology of Graphene Oxide Nanofluids and a Modified Predication ModelXinyu Mei0Xin Sha1Dengwei Jing2Lijing Ma3International Research Center for Renewable Energy & State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaInternational Research Center for Renewable Energy & State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaInternational Research Center for Renewable Energy & State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaInternational Research Center for Renewable Energy & State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaIn order to reveal the heat transfer performance of nanofluids in solar collectors, the thermal conductivity and dynamic viscosity of five kinds of graphene oxide nanofluids, with a mass fraction of 0.002% to 0.01%, were studied in the temperature range of 25–50 °C. To ensure the dispersion and stability of the prepared nanofluids, UV–Vis absorption spectrum, zeta potential and particle size distribution were employed for nanofluid characterization. Agglomeration and sedimentation of the prepared nanofluids after standing for 20 days were observed, showing the good stability of the prepared graphene oxide–water nanofluid. The dynamic viscosity and thermal conductivity were measured. They show that with the increase in temperature, the dynamic viscosity of nanofluids decreases and the thermal conductivity increases. With the increase in mass concentration, the viscosity and thermal conductivity are improved. The highest thermal conductivity increase is obtained when the nanofluid concentration is 0.01% and the temperature is 50 °C. Finally, and most importantly, considering the inaccuracy of the existing experimental correlations to the predicted values of thermal conductivity, we propose our new mathematical model of correlation and carry out a series of tests to verify its reliability. The experimental correlations with temperature and concentration as independent variables show good agreement and accuracy with the experimental data.https://www.mdpi.com/2076-3417/12/7/3567graphene oxidenanofluidsviscositythermal conductivityexperimental correlation |
| spellingShingle | Xinyu Mei Xin Sha Dengwei Jing Lijing Ma Thermal Conductivity and Rheology of Graphene Oxide Nanofluids and a Modified Predication Model Applied Sciences graphene oxide nanofluids viscosity thermal conductivity experimental correlation |
| title | Thermal Conductivity and Rheology of Graphene Oxide Nanofluids and a Modified Predication Model |
| title_full | Thermal Conductivity and Rheology of Graphene Oxide Nanofluids and a Modified Predication Model |
| title_fullStr | Thermal Conductivity and Rheology of Graphene Oxide Nanofluids and a Modified Predication Model |
| title_full_unstemmed | Thermal Conductivity and Rheology of Graphene Oxide Nanofluids and a Modified Predication Model |
| title_short | Thermal Conductivity and Rheology of Graphene Oxide Nanofluids and a Modified Predication Model |
| title_sort | thermal conductivity and rheology of graphene oxide nanofluids and a modified predication model |
| topic | graphene oxide nanofluids viscosity thermal conductivity experimental correlation |
| url | https://www.mdpi.com/2076-3417/12/7/3567 |
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