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

Jibitesh Kumar Panda; G. R.K. Sastry; Ram Naresh Rai

doi:10.1115/1.4036323

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

Jibitesh Kumar Panda^*, G. R.K. Sastry, Ram Naresh Rai

^*Corresponding author for this work

Department of Mechatronics Engineering, Manipal Institute of Technology, Manipal

Research output: Contribution to journal › Article › peer-review

37 Citations (Scopus)

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 language	English
Article number	042209
Journal	Journal of Energy Resources Technology, Transactions of the ASME
Volume	139
Issue number	4
DOIs	https://doi.org/10.1115/1.4036323
Publication status	Published - 01-07-2017

All Science Journal Classification (ASJC) codes

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

UN SDGs

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

Access to Document

10.1115/1.4036323

Cite this

Panda, J. K., Sastry, G. R. K., & Rai, R. N. (2017). 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. Journal of Energy Resources Technology, Transactions of the ASME, 139(4), Article 042209. https://doi.org/10.1115/1.4036323

@article{8e38ecf5df6e4997ba7a08192858a8e5,

title = "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",

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.",

author = "Panda, \{Jibitesh Kumar\} and Sastry, \{G. R.K.\} and Rai, \{Ram Naresh\}",

note = "Publisher Copyright: Copyright {\textcopyright} 2017 by ASME.",

year = "2017",

month = jul,

day = "1",

doi = "10.1115/1.4036323",

language = "English",

volume = "139",

journal = "Journal of Energy Resources Technology, Transactions of the ASME",

issn = "0195-0738",

publisher = "American Society of Mechanical Engineers (ASME)",

number = "4",

}

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. / Panda, Jibitesh Kumar; Sastry, G. R.K.; Rai, Ram Naresh.
In: Journal of Energy Resources Technology, Transactions of the ASME, Vol. 139, No. 4, 042209, 01.07.2017.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - 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

AU - Panda, Jibitesh Kumar

AU - Sastry, G. R.K.

AU - Rai, Ram Naresh

PY - 2017/7/1

Y1 - 2017/7/1

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85050577115

UR - https://www.scopus.com/inward/citedby.url?scp=85050577115&partnerID=8YFLogxK

U2 - 10.1115/1.4036323

DO - 10.1115/1.4036323

M3 - Article

AN - SCOPUS:85050577115

SN - 0195-0738

VL - 139

JO - Journal of Energy Resources Technology, Transactions of the ASME

JF - Journal of Energy Resources Technology, Transactions of the ASME

IS - 4

M1 - 042209

ER -

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

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this