Abstract
The data presented in this data article comprises the critical parameters of dispersion stability such as the particle effective diameter, zeta potential, sedimentation velocity and stability factor for Cu/Al2O3 single particle nanofluid and hybrid nanofluid samples at various ultra-sonication times, that is, 0.5 h, 1.0 h, 2.0 h and 3.0 h. The data for effective diameter and zeta potential was generated using the particle size analyser and zeta potential analyser respectively. The measured data for effective diameter and zeta potential was processed to generate the data for sedimentation velocity and stability factor. The ultra-sonication time with maximum value of stability factor was used for sample preparation of Cu/Al2O3 single particle nanofluid and hybrid nanofluid in the related research article “On trade-off for dispersion stability and thermal transport of Cu-Al2O3 hybrid nanofluid for various mixing ratios” (Siddiqui et al., 2019) [1].
Specifications table
| Subject area | Thermo-fluid Engineering |
| More specific subject area | Hybrid nanofluid |
| Type of data | Table |
| How data was acquired | Ultra-sonication Bath (Model 2510, Branson, USA), Particle Size Analyser (90 Plus/BI-MAS, Brookhaven Instruments Corp., USA), Zeta Potential Analyser (ZetaPALS, Brookhaven Instruments Corp., USA) |
| Data format | Raw data for effective diameter and zeta potential, analyzed data for sedimentation velocity and stability factor. |
| Experimental factors |
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| Experimental features |
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| Data source location | The Hong Kong University of Science and Technology, Hong Kong. |
| Data accessibility | Data is with the article |
| Related research article | F.R. Siddiqui, C.Y. Tso, K.C. Chan, S.C. Fu, C.Y.H. Chao, On trade-off for dispersion stability and thermal transport of Cu-Al2O3hybrid nanofluid for various mixing ratios, Int. J. Heat Mass Transf. 132 (2019) 1200–1216,[1] |
Value of the data
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The data comprises the critical parameters of dispersion stability such as the effective diameter, zeta potential and sedimentation velocity for different ultra-sonication times.
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The data can be used to develop an ultra-sonication time optimization model to achieve a uniform and homogenous particle dispersion.
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The data can be used as a reference material to further investigate the ultra-sonication time based dispersion stability for other nanofluid and hybrid nanofluid samples.
1. Data
The data on particle effective diameter (), zeta potential (, sedimentation velocity and stability factor (SF) for Cu/Al2O3 single particle nanofluid and hybrid nanofluid samples at various ultra-sonication times (t) is presented in Table 1. The details on sedimentation velocity and various mixing ratios of hybrid nanofluid (MR-1, MR-2 and MR-3) samples are reported in the related research article [1]. The data on scaling factor () as shown in Table 1 was processed from the measured data on zeta potential (). The data in Table 1 shows that the ultra-sonication time with maximum stability factor is 2.0 h for both Al2O3 nanofluid and MR-1 hybrid nanofluid and 0.5 h for both MR-2 and MR-3 hybrid nanofluids. Stability factor for Cu nanofluid is not presented in Table 1 due to the lack of data on effective diameter as it was above the measuring range of the particle size analyser.
Table 1.
Critical parameters and stability factor for different samples and ultra-sonication times.
| Sample | t (h) | (nm) | (mV) | (m s-1) | (s m-1) | |
|---|---|---|---|---|---|---|
| Al2O3 | 0.5 | 243.5 | 52.18 | 0.871 | 0.096 | 9.04 |
| 1.0 | 214.5 | 51.77 | 0.865 | 0.074 | 11.55 | |
| 2.0 | 225.3 | 58.39 | 0.975 | 0.082 | 11.81 | |
| 3.0 | 226.1 | 46.46 | 0.776 | 0.083 | 9.33 | |
| MR-1 | 0.5 | 250.3 | 39.55 | 0.660 | 0.152 | 4.32 |
| 1.0 | 255.3 | 41.72 | 0.697 | 0.158 | 4.38 | |
| 2.0 | 257.7 | 43.84 | 0.732 | 0.161 | 4.52 | |
| 3.0 | 276.6 | 44.67 | 0.746 | 0.186 | 4.00 | |
| MR-2 | 0.5 | 243.9 | 40.45 | 0.676 | 0.177 | 3.81 |
| 1.0 | 263.7 | 35.81 | 0.598 | 0.207 | 2.89 | |
| 2.0 | 250.8 | 37.61 | 0.628 | 0.187 | 3.35 | |
| 3.0 | 265.8 | 46.52 | 0.777 | 0.210 | 3.69 | |
| MR-3 | 0.5 | 241.6 | 45.63 | 0.762 | 0.205 | 3.71 |
| 1.0 | 247.4 | 38.43 | 0.642 | 0.215 | 2.98 | |
| 2.0 | 268.9 | 44.91 | 0.750 | 0.254 | 2.95 | |
| 3.0 | 255.2 | 45.35 | 0.757 | 0.229 | 3.30 | |
| Cu | 0.5 | > 3000 | 5.30 | 0.088 | – | – |
| 1.0 | > 3000 | 5.00 | 0.083 | – | – | |
| 2.0 | > 3000 | 6.26 | 0.104 | – | – | |
| 3.0 | > 3000 | 17.89 | 0.298 | – | – |
2. Experimental design, materials and methods
The experimental design and detailed methodology of Cu/Al2O3 single particle nanofluid and hybrid nanofluid synthesis using ultra-sonication bath and characterization using particle size analyser and zeta potential analyser are discussed in the related research article [1].
Acknowledgements
The authors would like to acknowledge the funding for this research as provided by the Hong Kong Research Grant Council via Collaborative Research Fund (CRF) account [C6022-16G]; General Research Fund (GRF) account [16202517] and Science and Technology Planning Project of Guangdong Province, China [Nos. 2017A050506010 and 2017A050506014].
Footnotes
Transparency data associated with this article can be found in the online version at https://doi.org/10.1016/j.dib.2019.01.007.
Transparency document. Supplementary material
Supplementary material
Reference
- 1.Siddiqui F.R., Tso C.Y., Chan K.C., Fu S.C., Chao C.Y.H. On trade-off for dispersion stability and thermal transport of Cu-Al2O3 hybrid nanofluid for various mixing ratios. Int. J. Heat Mass Transf. 2019;132:1200–1216. [Google Scholar]
Associated Data
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Supplementary Materials
Supplementary material
