Mixed Convective Heat Transfer Characteristics of Graphene Nanofluid Strengthened by Periodically Direction-Switching Electric FieldSource: Journal of Thermal Science and Engineering Applications:;2023:;volume( 016 ):;issue: 001::page 11007-1DOI: 10.1115/1.4063683Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Transformer-oil with low thermal conductivity and large viscosity has poor heat dissipation capability, which leads to the thermal drive failure caused by transient overload. To improve its cooling capability, this paper has proposed first the method which combined the periodically direction-switching electric field and graphene nanofluid to enhance the mixed convective heat transfer properties of transformer-oil, and analyzed the effects of switching periods, nanofluid concentration, electric field strength, heat flux, and Reynolds number on mixed convection heat transfer experimentally. The results show that the heat transfer characteristic of transformer-oil is improved up to 52% by the periodically direction-switching electric field and graphene nanofluid. As the switching period decreases, the thermal performance of the suspension is enhanced more significantly. Moreover, by analyzing the heat transfer mechanism, the periodically direction-switching electric field causes the nanoparticles to move reciprocally, repeatedly impacting and breaking the boundary layer of the heat exchange surface to enhance the perturbation, thus enhancing the heat transfer effect. Meanwhile, the predicted correlation has been proposed on the basis of influence factors, which are in good agreement with the experimental data.
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| contributor author | Chen, Yanjun | |
| contributor author | Du, Chenhao | |
| contributor author | Wang, Zhoumiao | |
| contributor author | He, Deqiang | |
| date accessioned | 2024-04-24T22:47:58Z | |
| date available | 2024-04-24T22:47:58Z | |
| date copyright | 10/31/2023 12:00:00 AM | |
| date issued | 2023 | |
| identifier issn | 1948-5085 | |
| identifier other | tsea_16_1_011007.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4295895 | |
| description abstract | Transformer-oil with low thermal conductivity and large viscosity has poor heat dissipation capability, which leads to the thermal drive failure caused by transient overload. To improve its cooling capability, this paper has proposed first the method which combined the periodically direction-switching electric field and graphene nanofluid to enhance the mixed convective heat transfer properties of transformer-oil, and analyzed the effects of switching periods, nanofluid concentration, electric field strength, heat flux, and Reynolds number on mixed convection heat transfer experimentally. The results show that the heat transfer characteristic of transformer-oil is improved up to 52% by the periodically direction-switching electric field and graphene nanofluid. As the switching period decreases, the thermal performance of the suspension is enhanced more significantly. Moreover, by analyzing the heat transfer mechanism, the periodically direction-switching electric field causes the nanoparticles to move reciprocally, repeatedly impacting and breaking the boundary layer of the heat exchange surface to enhance the perturbation, thus enhancing the heat transfer effect. Meanwhile, the predicted correlation has been proposed on the basis of influence factors, which are in good agreement with the experimental data. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Mixed Convective Heat Transfer Characteristics of Graphene Nanofluid Strengthened by Periodically Direction-Switching Electric Field | |
| type | Journal Paper | |
| journal volume | 16 | |
| journal issue | 1 | |
| journal title | Journal of Thermal Science and Engineering Applications | |
| identifier doi | 10.1115/1.4063683 | |
| journal fristpage | 11007-1 | |
| journal lastpage | 11007-13 | |
| page | 13 | |
| tree | Journal of Thermal Science and Engineering Applications:;2023:;volume( 016 ):;issue: 001 | |
| contenttype | Fulltext |