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Experimental Investigations on the Effects of Cerium Oxide Nanoparticle Fuel Additives on Biodiesel

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Sajith, V., Sobhan, C. B., Peterson, G. P.·2010·Advances in Mechanical Engineering

Abstract

This paper reports the results of experimental investigations on the influence of the addition of cerium oxide in the nanoparticle form on the major physicochemical properties and the performance of biodiesel. The physicochemical properties of the base fuel and the modified fuel formed by dispersing the catalyst nanoparticles by ultrasonic agitation are measured using ASTM standard test methods. The effects of the additive nanoparticles on the individual fuel properties, the engine performance, and emissions are studied, and the dosing level of the additive is optimized. Comparisons of the performance of the fuel with and without the additive are also presented. The flash point and the viscosity of biodiesel were found to increase with the inclusion of the cerium oxide nanoparticles. The emission levels of hydrocarbon and NOx are appreciably reduced with the addition of cerium oxide nanoparticles.

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Metadata

Authors
Sajith, V., Sobhan, C. B., & Peterson, G. P.
Venue
Advances in Mechanical Engineering
Published
2010-01
Volume
2
ISSN
  • 1687-8132 (ISSN-L)
  • 1687-8140
OpenAlex
W2130311928
Cited by
480
References
0
FWCI
4.55
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Experimental Investigations on the Effects of Cerium Oxide Nanoparticle Fuel Additives on Biodiesel. https://app.cochat.ai/papers/10.1155/2010/581407
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Sajith, V., Sobhan, C. B., & Peterson, G. P. (2010). Experimental Investigations on the Effects of Cerium Oxide Nanoparticle Fuel Additives on Biodiesel. Advances in Mechanical Engineering. https://doi.org/10.1155/2010/581407

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.