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Experimental investigation of tribo-corrosion and engine characteristics of Aegle Marmelos Correa biodiesel and its diesel blends on direct injection diesel engine

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  • Thangarasu, Vinoth
  • Balaji, B.
  • Ramanathan, Anand

Abstract

This work is a study of tribo-corrosion and engine characteristics of Aegle Marmelos Correa biodiesel and its diesel blends. The tribology results revealed that B50 showed the lowest steady-state coefficient of friction (SSCOF) amongst all the other blends. SSCOF of B100 is 23.27% more than B50. Similarly, SSCOF of B90, B60, B20, B10, and diesel are 19%, 8%, 17.23%, 31.9% and 40.11% greater than the SSCOF of B50 respectively. Wear scar diameter (WSD) results also showed that B50, B60, B90, and B100 have lower WSD of around 0.6 mm. Diesel showed the highest WSD of 0.8 mm. Flash temperature parameter (FTP) is inversely related to WSD, and thus B50, B60, B90, and B100 exhibited higher FTP of around 80. On evaluating the corrosion characteristics, B50 exhibited lesser corrosion inducing capability compared to all the other blends. Experimental investigation of the engine showed that B100 yielded lesser thermal efficiency and higher specific fuel consumption than diesel. The CO, HC, NO, and smoke emissions were minimum for B100 when compared to diesel. Finally, all the results revealed that B100 is the ideal blend that can perform efficiently and be a sustainable energy source for diesel engines.

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  • Thangarasu, Vinoth & Balaji, B. & Ramanathan, Anand, 2019. "Experimental investigation of tribo-corrosion and engine characteristics of Aegle Marmelos Correa biodiesel and its diesel blends on direct injection diesel engine," Energy, Elsevier, vol. 171(C), pages 879-892.
    • Handle: RePEc:eee:energy:v:171:y:2019:i:c:p:879-892
    DOI: 10.1016/j.energy.2019.01.079
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    Cited by:

    1. Gavaskar, T. & Ramanan M, Venkata & Arun, K. & Arivazhagan, S., 2023. "The combined effect of green synthesized nitrogen-doped carbon quantum dots blended jackfruit seed biodiesel and acetylene gas tested on the dual fuel engine," Energy, Elsevier, vol. 275(C).
    2. Thangarasu, Vinoth & M, Angkayarkan Vinayakaselvi & Ramanathan, Anand, 2021. "Artificial neural network approach for parametric investigation of biodiesel synthesis using biocatalyst and engine characteristics of diesel engine fuelled with Aegle Marmelos Correa biodiesel," Energy, Elsevier, vol. 230(C).

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