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<p>In the current work, hybrid Al<sub>2</sub>O<sub>3</sub> + CuO nanoparticles were used as the working fluid in double-pipe heat exchangers (DPHX). Different volume concentrations of the hybrid Al<sub>2</sub>O<sub>3</sub> + CuO nanoparticles (0.1%, 0.2%, 0.3%, and 0.4%) were employed. The mass flow rate of the cold fluid changed from 0.91 to 0.58&#xa0;kg&#xa0;s<sup>−1</sup>, while that of the hot fluid changed from 0.332 to 0.565&#xa0;kg&#xa0;s<sup>−1</sup>. Three hot fluid inlet temperatures are used. The nanofluid’s stability was demonstrated. The Nusselt number (Nu), number of transfer units (NTU), and efficiency of DPHX were all determined. Results found that compared to pure water, nanofluids have a higher Nu, NTU, and effectiveness. The Nusselt number, NTU, and effectiveness increase as the hybrid Al<sub>2</sub>O<sub>3</sub> + CuO/water concentration increases. A more significant Nusselt number, NTU, and effectiveness are attained at a higher inlet hot fluid temperature. As the temperature of the incoming hot fluid increases, so do the NTU and effectiveness. The optimal thermal performance was achieved at an inlet hot fluid temperature of 70&#xa0;°C, a cold fluid flow rate of 0.91, and a hot fluid flow rate of 0.565&#xa0;kg&#xa0;s<sup>−1</sup>. Under these conditions, the 0.4% hybrid Al<sub>2</sub>O<sub>3</sub> + CuO/water nanofluid exhibited significant enhancements compared to water, with increases in the Nusselt number, NTU, and effectiveness reaching up to 265%, 73%, and 50%, respectively. Furthermore, the feed-forward neural network (FFNN) model demonstrated excellent predictive capability, showing strong agreement with the experimental results.</p>

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An experimental and ANN study for a double-pipe heat exchanger with hybrid Al2O3-CuO/water nanofluids

  • 期刊论文

  • 发表日期：

    2026年7月22日

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  • Mohamed T. Abdelghany,
  • M. A. Sharafeldin

摘要

In the current work, hybrid Al2O3 + CuO nanoparticles were used as the working fluid in double-pipe heat exchangers (DPHX). Different volume concentrations of the hybrid Al2O3 + CuO nanoparticles (0.1%, 0.2%, 0.3%, and 0.4%) were employed. The mass flow rate of the cold fluid changed from 0.91 to 0.58 kg s−1, while that of the hot fluid changed from 0.332 to 0.565 kg s−1. Three hot fluid inlet temperatures are used. The nanofluid’s stability was demonstrated. The Nusselt number (Nu), number of transfer units (NTU), and efficiency of DPHX were all determined. Results found that compared to pure water, nanofluids have a higher Nu, NTU, and effectiveness. The Nusselt number, NTU, and effectiveness increase as the hybrid Al2O3 + CuO/water concentration increases. A more significant Nusselt number, NTU, and effectiveness are attained at a higher inlet hot fluid temperature. As the temperature of the incoming hot fluid increases, so do the NTU and effectiveness. The optimal thermal performance was achieved at an inlet hot fluid temperature of 70 °C, a cold fluid flow rate of 0.91, and a hot fluid flow rate of 0.565 kg s−1. Under these conditions, the 0.4% hybrid Al2O3 + CuO/water nanofluid exhibited significant enhancements compared to water, with increases in the Nusselt number, NTU, and effectiveness reaching up to 265%, 73%, and 50%, respectively. Furthermore, the feed-forward neural network (FFNN) model demonstrated excellent predictive capability, showing strong agreement with the experimental results.