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

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

Energy, 2021, vol. 234, issue C

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.

Keywords: Response surface methodology; Optimization; Performance and emissions; Nickel oxide nanoparticles (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544221015309
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:234:y:2021:i:c:s0360544221015309

DOI: 10.1016/j.energy.2021.121282

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().