Fusion: Practice and Applications

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https://doi.org/10.54216/FPA

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Volume 16 , Issue 1 , PP: 264-274, 2024 | Cite this article as | XML | Html | PDF | Full Length Article

Integrative Analysis of Diesel-Kerosene Blends on Engine Performance and Emissions

Cristian I. Eugenio-Pilliza 1 * , Francisco J. Montalvo-Marquez 2 , Ángel Portilla 3

  • 1 Technical University of Cotopaxi, Faculty of Engineering and Applied Sciences, Latacunga, Ecuador - (cristian.eugenio@utc.edu.ec)
  • 2 National Polytechnic School, Faculty of Mechanical Engineering, Quito, Ecuador - (javier.montalvoupec.edu.ec)
  • 3 National Polytechnic School, Faculty of Mechanical Engineering, Quito, Ecuador - (angel.portilla@epn.edu.ec)
  • Doi: https://doi.org/10.54216/FPA.160119

    Received: July 11, 2023 Revised: November 15, 2023 Accepted: May 22, 2024
    Abstract

    Combines diesel fuel with cheese to enhance engine efficiency and mitigate detrimental pollutants. Analyzed using a meticulous approach derived from the ISO 8178 standard, combinations containing different ratios of cheese are investigated. The aim of the research is to conduct a multivariate analysis that provides insights into the rheology of diesel and kerosene mixes, thereby enhancing our understanding of the fuel's properties and performance. The researchers conducted experimental trials utilizing diesel blends with varying proportions of cheese, including 5%, 10%, 15%, 20%, 25%, and 30%. A descriptive and multivariate analysis was conducted to measure parameters such as opacity, NOx, CO, HC emissions, and fuel efficiency under different load circumstances. The study identified key elements that determine gasoline characteristics and emissions, including density, viscosity, calorific value, and sulfur content. It emphasized that the addition of cheese had a significant impact on these crucial factors. Two separate categories were created based on the composition of fuel. Blends containing a lower amount of cheesesine (up to 20%) formed a cluster that exhibited an ideal equilibrium in terms of both performance and emissions. The groupings of factors are interconnected, with substantial correlations shown between the physical qualities of the fuel and emissions. This highlights the direct impact of the fuel composition on the engine's environmental performance.

    Keywords :

    Cluster Analysis, Principal Component Analysis , multivariate analysis , experiment , engine.

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    Cite This Article As :
    I., Cristian. , J., Francisco. , Portilla, Ángel. Integrative Analysis of Diesel-Kerosene Blends on Engine Performance and Emissions. Fusion: Practice and Applications, vol. , no. , 2024, pp. 264-274. DOI: https://doi.org/10.54216/FPA.160119
    I., C. J., F. Portilla, . (2024). Integrative Analysis of Diesel-Kerosene Blends on Engine Performance and Emissions. Fusion: Practice and Applications, (), 264-274. DOI: https://doi.org/10.54216/FPA.160119
    I., Cristian. J., Francisco. Portilla, Ángel. Integrative Analysis of Diesel-Kerosene Blends on Engine Performance and Emissions. Fusion: Practice and Applications , no. (2024): 264-274. DOI: https://doi.org/10.54216/FPA.160119
    I., C. , J., F. , Portilla, . (2024) . Integrative Analysis of Diesel-Kerosene Blends on Engine Performance and Emissions. Fusion: Practice and Applications , () , 264-274 . DOI: https://doi.org/10.54216/FPA.160119
    I. C. , J. F. , Portilla . [2024]. Integrative Analysis of Diesel-Kerosene Blends on Engine Performance and Emissions. Fusion: Practice and Applications. (): 264-274. DOI: https://doi.org/10.54216/FPA.160119
    I., C. J., F. Portilla, . "Integrative Analysis of Diesel-Kerosene Blends on Engine Performance and Emissions," Fusion: Practice and Applications, vol. , no. , pp. 264-274, 2024. DOI: https://doi.org/10.54216/FPA.160119