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A Taguchi-Fuzzy-Based Multi-Objective Optimization of a Direct Injection Diesel Engine Fueled With Different Blends of Leucas Zeylanica Methyl Ester and 2-Ethylhexyl Nitrate Diesel Additive With Diesel

    Research output: Contribution to journalArticlepeer-review

    Abstract

    The increasing price of conventional diesel fuel, its deficiency, and the injurious outcome of combustion produced contaminants seem to make different sources more fascinating. Leucas zeylanica plant is noncomestible in nature and available abundantly. Leucas zeylanica methyl ester is renewable and least polluting fuel, which can supplement fossil fuels with unmodified engine condition. The existing experimentation assesses the performance and emission analysis by using various blends of leucas zeylanica methyl ester, diesel, and diesel additives like 2-ethylhexyl nitrate. This experimental investigation gives less engine emission and better performance as compared with mineral diesel. In the radical portion of this investigation, fuzzy-based Taguchi optimization for predicting the optimum input blends results in the optimum combination of performance and emissions parameter.

    Original languageEnglish
    Article number042209
    JournalJournal of Energy Resources Technology, Transactions of the ASME
    Volume139
    Issue number4
    DOIs
    Publication statusPublished - 01-07-2017

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    All Science Journal Classification (ASJC) codes

    • Renewable Energy, Sustainability and the Environment
    • Fuel Technology
    • Energy Engineering and Power Technology
    • Mechanical Engineering
    • Geochemistry and Petrology

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