4.6 Article

Experimental and modeling studies of N-doped carbon quantum dot nanofluids for heat transfer systems

期刊

DIAMOND AND RELATED MATERIALS
卷 129, 期 -, 页码 -

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.diamond.2022.109394

关键词

Carbon quantum dot nanofluid; Stability; Thermal properties; Viscosity; Model fitting

资金

  1. National Natural Science Foundation of China
  2. Sichuan Province Science and Technology Sup- port Program
  3. [21576225]
  4. [2019YFG0054]

向作者/读者索取更多资源

This study successfully synthesized N-doped carbon quantum dots nanoparticles (N-CQDs) nanofluid without any additives, which exhibited excellent long-term stability and enhanced thermal conductivity. The viscosity and thermal conductivity of the nanofluid were investigated and models for predicting these properties were proposed. The results showed that the synthesized N-CQDs nanofluid had great potential in improving heat transfer efficiency.
The thermal performance of the internal heat transfer fluid was an important factor affecting the heat transfer efficiency of the exchanger system. This study reports a nanofluid that achieves long-term stability without any additives. The synthesized environmentally friendly N-doped carbon quantum dots nanoparticles (N-CQDs) had a uniform particle size distribution, with particle sizes concentrated between 2 and 2.5 nm. The stability, ther-mophysical properties and rheological characteristics of N-CQDs nanofluids were investigated. The results showed that the Turbiscan stability index of N-CQDs nanofluid was about 1.5 and the Delta T value fluctuated within 0.5 %, showing excellent stability. The thermal conductivity of 0.1 vol% of N-CQDs nanofluid increased by 43.21 % at 50 degrees C compared to the base fluid. The specific heat capacity decreases with increasing nanofluid loading. The viscosity of N-CQDs nanofluid behaves as a Newtonian fluid. In addition, the models for estimating the viscosity and thermal conductivity of N-CQDs nanofluids are proposed, respectively. Due to the different particle sizes and shapes of nanoparticles, the proposed model can better predict the thermal conductivity and viscosity of N-CQDs nanofluids compared with other empirical models.

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