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Multiparametric Optimization on Influence of Ethanol and Biodiesel Blends on Nanocoated Engine by Full Factorial Design
Author(s) -
A. Venkatesh,
T. P. Latchoumi,
S. Chezhian Babu,
K. Balamurugan,
S. Ganesan,
M. Ruban,
Lijalem Mulugeta
Publication year - 2022
Publication title -
journal of nanomaterials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.463
H-Index - 66
eISSN - 1687-4129
pISSN - 1687-4110
DOI - 10.1155/2022/5350122
Subject(s) - materials science , factorial experiment , biodiesel , ethanol , organic chemistry , computer science , catalysis , chemistry , machine learning
Energy conservation and management have become critical industrial activities, since energy expenses account for a significant portion of production costs. This proactive strategy has had an effect on worldwide energy consumption trends. Integration of thermal barrier coatings into engine design is necessary to solve efficiency concerns, and this coating technology has the potential to increase engine power while lowering specific fuel consumption. In a similar line, biodiesel has been presented as a possible substitute to diesel since it is nontoxic and sourced from renewable energy sources. The present study aims to enhance the performance of a diesel engine via the use of a thermal barrier-coated piston that works on biodiesel mixes. Due to its outstanding thermal insulation qualities, yttria-stabilized zirconia is the preferred material for thermal barrier coatings. Brake thermal efficiency for B20E15 is about 4% better than diesel and for B20E05 and B20E15 is about 4.6% and 13.5% less fuel consumption. CO and HC emissions were reduced by 6% to 8% on average with the B20 blends. Biodiesel blends were compared to pure diesel in terms of performance and emissions, and the blend ratio was improved using a design of experiment tool.

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