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<p>This study investigates the application of copper-zirconium oxide nanofluids combined with engine oil to improve energy efficiency in renewable energy systems. This study examines the characteristics and performance of a hybrid nanofluid, considering several elements such as thermal radiation, heat generation, porous media effects, and magnetic fields. The present study utilizes the homotopy perturbation technique (HPM) as a computational method to solve the governing equations that describe the flow over cone and wedge geometries. The accuracy of the HPM is then compared with that of the Runge-Kutta method. The findings suggest that the use of HPM yields higher levels of accuracy. Furthermore, we observed that different parameters have a substantial impact on the velocity and temperature profiles, as well as the development of entropy generation. The results of this study are significant because they can help improve the efficiency of heat transfer and find the best shapes for installing renewable energy systems.</p>

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Homotopy Semi-numerical Modeling of Williamson Nanofluid Flow Over a Cone and Wedge with Entropy Generation

  • 期刊论文

  • 发表日期：

    2025年11月23日

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  • Gunisetty Ramasekhar,
  • Shaik Jakeer,
  • Seethi Reddy Reddisekhar Reddy,
  • Harshit Verma,
  • P. Jayasri,
  • P. Durgaprasad,
  • Pankaj Shukla

摘要

This study investigates the application of copper-zirconium oxide nanofluids combined with engine oil to improve energy efficiency in renewable energy systems. This study examines the characteristics and performance of a hybrid nanofluid, considering several elements such as thermal radiation, heat generation, porous media effects, and magnetic fields. The present study utilizes the homotopy perturbation technique (HPM) as a computational method to solve the governing equations that describe the flow over cone and wedge geometries. The accuracy of the HPM is then compared with that of the Runge-Kutta method. The findings suggest that the use of HPM yields higher levels of accuracy. Furthermore, we observed that different parameters have a substantial impact on the velocity and temperature profiles, as well as the development of entropy generation. The results of this study are significant because they can help improve the efficiency of heat transfer and find the best shapes for installing renewable energy systems.