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Based on the experimental data CAD model is developed and computations are performed using ANSYS-19.0 soft tool for same working conditions such as flow rate, nanoparticle volume concentration’s, and input temperatures. The obtained numerical results are compared with that of experimental results for validation. This validation process is carried out for 12 turn copper coil with 0.04% Vol and 0.06% Vol Cu-Ni-Distilled water hybrid nanofluid for different heat inputs under turbulent flow conditions. The maximum percentage error obtained in case of 12 turns copper coil is 8.292% at 6LPM and minimum percentage variation is attained at 3LPM is 0.01975% for 0.04% volume concentrations of Cu-Ni nanoparticles. Similarly in case of 12 turn copper coil with 0.06% Vol, the maximum and minimum %error attained are 7.095% and 1.45% for 7 and 4LPM, respectively.

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CFD Analysis on Shell and Helical Coil Heat Exchanger with 0.04 and 0.06% Vol Concentrations of Cu-Ni-Hybrid Nanofluid to Enhance the Heat Transfer Rate Using for Food Processing Industries

  • 会议论文

  • 发表日期：

    2025年

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  • Dangeti Sarath Chandra,
  • Kuruva Krishna murthy,
  • Valiveti Sivaramakrishna,
  • Desu Damodara Reddy

摘要

Based on the experimental data CAD model is developed and computations are performed using ANSYS-19.0 soft tool for same working conditions such as flow rate, nanoparticle volume concentration’s, and input temperatures. The obtained numerical results are compared with that of experimental results for validation. This validation process is carried out for 12 turn copper coil with 0.04% Vol and 0.06% Vol Cu-Ni-Distilled water hybrid nanofluid for different heat inputs under turbulent flow conditions. The maximum percentage error obtained in case of 12 turns copper coil is 8.292% at 6LPM and minimum percentage variation is attained at 3LPM is 0.01975% for 0.04% volume concentrations of Cu-Ni nanoparticles. Similarly in case of 12 turn copper coil with 0.06% Vol, the maximum and minimum %error attained are 7.095% and 1.45% for 7 and 4LPM, respectively.