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Performance and emission prediction using ANN (artificial neural network) on H2-assisted Garcinia gu...

Performance and emission prediction using ANN (artificial neural network) on H2-assisted Garcinia gu...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f4ee0d10f9094e1fb1779a9ababd245e

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

About this item

Full title

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

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2025-02, Vol.15 (1), p.5911-34, Article 5911

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

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 H
2
and TiO
2
nano additives. For experimentation, H
2
gas was introduced to the mixes containing TiO
2
nanoparticles. Diesel, B10 blend...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f4ee0d10f9094e1fb1779a9ababd245e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f4ee0d10f9094e1fb1779a9ababd245e

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-025-90165-2

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