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RSM based parameter optimization of CI engine fuelled with nickel oxide dosed Azadirachta indica methyl ester

Author

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  • Srinidhi, Campli
  • Madhusudhan, A.
  • Channapattana, S.V.
  • Gawali, S.V.
  • Aithal, Kiran

Abstract

The usage of metal oxide nanoparticles in biodiesel-diesel blends has grown drastically. The current experimental and statistical study highlights the usage of possible levels of NiO in Neem Biodiesel blend with proper engine parameters such as Compression ratio, Injection pressure, and Static fuel injection timing for maximum performance and least emissions using response surface methodology. The NiO nanoparticles were used in different concentrations of 25, 50, and 75 ppm in a blend of Neem biodiesel and diesel (25%: 75% by volume). The prepared nanoparticles were subjected to various studies like XRD, FESEM, and EDS to determine the presence of nickel oxide. A L29 array of DOE was used in the analysis. Response Surface optimizer was used to predict the engine predictors, which were 26.998°bTDC (SIT), 227.86 bar (IOP), 17.2585 (CR), and 25.0003 ppm of NiO Nanoparticle with a desirability function value of 0.6198. The modeling of engine responses were in quadratic nature and was found to be statistically fit, with good confidence levels. The predicted responses and experimental response validation of RSM predictors were having a low error range of 0.7%–4.64% for various engine characteristics.

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  • Srinidhi, Campli & Madhusudhan, A. & Channapattana, S.V. & Gawali, S.V. & Aithal, Kiran, 2021. "RSM based parameter optimization of CI engine fuelled with nickel oxide dosed Azadirachta indica methyl ester," Energy, Elsevier, vol. 234(C).
    • Handle: RePEc:eee:energy:v:234:y:2021:i:c:s0360544221015309
    DOI: 10.1016/j.energy.2021.121282
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    References listed on IDEAS

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    Cited by:

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    4. Channapattana, Shylesha V. & Campli, Srinidhi & Madhusudhan, A. & Notla, Srihari & Arkerimath, Rachayya & Tripathi, Mukesh Kumar, 2023. "Energy analysis of DI-CI engine with nickel oxide nanoparticle added azadirachta indica biofuel at different static injection timing based on exergy," Energy, Elsevier, vol. 267(C).
    5. Ashok, B. & Usman, Kaisan Muhammad & Vignesh, R. & Umar, U.A., 2022. "Model-based injector control map development to improve CRDi engine performance and emissions for eucalyptus biofuel," Energy, Elsevier, vol. 246(C).
    6. Çelebi, Samet & Kocakulak, Tolga & Demir, Usame & Ergen, Gökhan & Yilmaz, Emre, 2023. "Optimizing the effect of a mixture of light naphtha, diesel and gasoline fuels on engine performance and emission values on an HCCI engine," Applied Energy, Elsevier, vol. 330(PB).
    7. Uslu, Samet & Simsek, Suleyman & Simsek, Hatice, 2023. "RSM modeling of different amounts of nano-TiO2 supplementation to a diesel engine running with hemp seed oil biodiesel/diesel fuel blends," Energy, Elsevier, vol. 266(C).
    8. Uslu, Samet & Celik, Mehmet, 2023. "Response surface methodology-based optimization of the amount of cerium dioxide (CeO2) to increase the performance and reduce emissions of a diesel engine fueled by cerium dioxide/diesel blends," Energy, Elsevier, vol. 266(C).
    9. Sharma, Prabhakar & Bora, Bhaskor J., 2023. "Modeling and optimization of a CI engine running on producer gas fortified with oxyhydrogen," Energy, Elsevier, vol. 270(C).

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