Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/427377
Full metadata record
DC FieldValueLanguage
dc.coverage.spatialStudies on dual fuelling of ci engine using jack fruit seed biodiesel and acetylene gas with ceria nano additive
dc.date.accessioned2022-12-18T09:05:54Z-
dc.date.available2022-12-18T09:05:54Z-
dc.identifier.urihttp://hdl.handle.net/10603/427377-
dc.description.abstractIndia s primary energy demand is predicted to increase rapidly and will be around 1900 Million Tonnes of Oil Equivalent (MTOE) at the end of 2040. This rapid increase in primary energy requirement will be a major obstacle as it leads to faster depletion of fossil fuels, severe environmental concerns such as acid rain, emission of pollutants and greenhouse gases. These will pave way to global warming, national energy security issues and economic instability, as India imports majority of its crude oil (the second largest consuming energy source) requirement for transportation from abroad. Hence it is necessary to focus on environmental friendly alternative fuel for use in internal combustion engines. newlineUtilization of biodiesel blends with diesel and dual fuelling of gaseous fuels with diesel in Compression Ignition (CI) engines might be a tangible option to meet major energy requirements and mitigating environmental issues. Jack fruit tree, grown in southern India and Malaysian forests, are consumed for its pulp and the seeds are discarded as waste. It was decided to investigate the CI engine characteristics in dual fuel mode using biodiesel extracted from jack fruit seeds and acetylene gas. Doping of ceria nano-additive was also attempted towards analysing the performance, combustion and emission characteristics. newline
dc.format.extentxx,139p.
dc.languageEnglish
dc.relationp.120-138
dc.rightsuniversity
dc.titleStudies on dual fuelling of ci engine using jack fruit seed biodiesel and acetylene gas with ceria nano additive
dc.title.alternative
dc.creator.researcherGavaskar T
dc.subject.keywordArtificial Neural Network
dc.subject.keywordDual Fuel
dc.subject.keywordVariable Compression Ratio
dc.description.note
dc.contributor.guideVenkata Ramanan M
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Mechanical Engineering
dc.date.registered
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Mechanical Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File27.56 kBAdobe PDFView/Open
02_prelim pages.pdf3.8 MBAdobe PDFView/Open
03_content.pdf38.69 kBAdobe PDFView/Open
04_abstract.pdf146.94 kBAdobe PDFView/Open
05_chapter 1.pdf80.55 kBAdobe PDFView/Open
06_chapter 2.pdf248.36 kBAdobe PDFView/Open
07_chapter 3.pdf666.03 kBAdobe PDFView/Open
08_chapter 4.pdf351.37 kBAdobe PDFView/Open
09_chapter 5.pdf2.92 MBAdobe PDFView/Open
10_chapter 6.pdf2.92 MBAdobe PDFView/Open
11_annexures.pdf512.79 kBAdobe PDFView/Open
80_recommendation.pdf73.71 kBAdobe PDFView/Open


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: