Performance and emission prediction using ANN (artificial neural network) on H2-assisted Garcinia gummi-gutta biofuel doped with nano additives

Performance and emission prediction using ANN (artificial neural network) on H2-assisted Garcinia gummi-gutta biofuel doped with nano additives

Abstract The current work focuses on utilization of ANN (artificial neural network) for the prediction of performance and tailpipe emissions of Garcinia gummigutta methyl ester (GGME) enriched with H2 and TiO2 nano additives. For experimentation, H2 gas was introduced to the mixes containing TiO2 na...

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Main Authors: Harish Venu, Manzoore Elahi M. Soudagar, Tiong Sieh Kiong, N. M. Razali, Hua-Rong Wei, T. M. Yunus Khan, Naif Almakayeel, M. A. Kalam, Erdem Cuce
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Artificial neural network
Garcinia gummi-gutta biodiesel
Diesel engine
Performance and pollutant emissions
Online Access:https://doi.org/10.1038/s41598-025-90165-2
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https://doi.org/10.1038/s41598-025-90165-2

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