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Potential evaluation of water-based ferric oxide (Fe2O3-water) nanocoolant: An experimental study

Author

Listed:
  • Shah, Tayyab Raza
  • Ali, Hafiz Muhammad
  • Zhou, Chao
  • Babar, Hamza
  • Janjua, Muhammad Mansoor
  • Doranehgard, Mohammad Hossein
  • Hussain, Abid
  • Sajjad, Uzair
  • Wang, Chi-Chuan
  • Sultan, Muhamad
Abstract
Fuel combustion generates a mammoth extent of heat in the engine's combustion chamber. The high temperature of combustion gases makes the engine prone to seizure. To alleviate the severity of overheating, efficient heat removal is needed. In the current research, the potential evaluation of low concentration Fe2O3/water nanocoolant for automotive cooling has been performed experimentally. Three concentrations (0.003, 0.005, and 0.007 vol%) of Fe2O3/water nanocoolant with three different inlet temperatures (45, 50, and 55 °C) and five flowrates (10–14 LPM) were opted to appraise the performance of nanocoolant based automotive cooling system. As per the experimental results, the topmost enhancement in heat transfer rate was observed to be 21.89% for 0.007 vol% Fe2O3/water nanocoolant as compared to water. Furthermore, a 20.65% hike in convective heat transfer coefficient (CHTC), 18.24% escalation in Nusselt number, and 19.51% augmentation in overall heat transfer coefficient (OHTC) were obtained for the nanocoolant of the aforementioned concentration. All the parameters were observed to mount with mounting concentration and flowrate of the nanocoolant, however, the inlet temperature of the nanofluid did not produce significant effects. Results of the current research are exceedingly encouraging since an inordinate enhancement in performance parameters has been observed even at a low concentration of nanocoolant.

Suggested Citation

  • Shah, Tayyab Raza & Ali, Hafiz Muhammad & Zhou, Chao & Babar, Hamza & Janjua, Muhammad Mansoor & Doranehgard, Mohammad Hossein & Hussain, Abid & Sajjad, Uzair & Wang, Chi-Chuan & Sultan, Muhamad, 2022. "Potential evaluation of water-based ferric oxide (Fe2O3-water) nanocoolant: An experimental study," Energy, Elsevier, vol. 246(C).
    • Handle: RePEc:eee:energy:v:246:y:2022:i:c:s0360544222003449
    DOI: 10.1016/j.energy.2022.123441
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    References listed on IDEAS

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    1. Ali, Hafiz Muhammad & Ali, Hassan & Liaquat, Hassan & Bin Maqsood, Hafiz Talha & Nadir, Malik Ahmed, 2015. "Experimental investigation of convective heat transfer augmentation for car radiator using ZnO–water nanofluids," Energy, Elsevier, vol. 84(C), pages 317-324.
    2. Ravn, Morten O. & Mazzenga, Elisabetta, 2004. "International business cycles: the quantitative role of transportation costs," Journal of International Money and Finance, Elsevier, vol. 23(4), pages 645-671, June.
    3. Mukkamala, Yagnavalkya, 2017. "Contemporary trends in thermo-hydraulic testing and modeling of automotive radiators deploying nano-coolants and aerodynamically efficient air-side fins," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1208-1229.
    4. Qipeng Sun & Xiu Wang & Fei Ma & Yanhu Han & Qianqian Cheng, 2019. "Synergetic Effect and Spatial-Temporal Evolution of Railway Transportation in Sustainable Development of Trade: An Empirical Study Based on the Belt and Road," Sustainability, MDPI, vol. 11(6), pages 1-22, March.
    5. Zhao, Ningbo & Li, Shuying & Yang, Jialong, 2016. "A review on nanofluids: Data-driven modeling of thermalphysical properties and the application in automotive radiator," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 596-616.
    6. Anthony Black, 2001. "Globalization and restructuring in the South African automotive industry," Journal of International Development, John Wiley & Sons, Ltd., vol. 13(6), pages 779-796.
    7. Sajid, Muhammad Usman & Ali, Hafiz Muhammad, 2019. "Recent advances in application of nanofluids in heat transfer devices: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 556-592.
    8. Loay Salhieh & Metri Mdanat & Mohammed Al-Shboul & Ghazi Samawi, 2019. "Transportation Landed Cost as a Barrier to Intra-regional Trade," Journal of Borderlands Studies, Taylor & Francis Journals, vol. 34(1), pages 89-103, January.
    9. David Hummels, 2007. "Transportation Costs and International Trade in the Second Era of Globalization," Journal of Economic Perspectives, American Economic Association, vol. 21(3), pages 131-154, Summer.
    10. Said, Zafar & El Haj Assad, M. & Hachicha, Ahmed Amine & Bellos, Evangelos & Abdelkareem, Mohammad Ali & Alazaizeh, Duha Zeyad & Yousef, Bashria A.A., 2019. "Enhancing the performance of automotive radiators using nanofluids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 183-194.
    11. Timothy J. Sturgeon & Johannes Van Biesebroeck, 2011. "Global value chains in the automotive industry: an enhanced role for developing countries?," International Journal of Technological Learning, Innovation and Development, Inderscience Enterprises Ltd, vol. 4(1/2/3), pages 181-205.
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