Enhancing diesel engine performance and emissions with CaO.Al₂O₃-doped Garcinia biodiesel blends using a hybrid statistical-AI framework

Abstract The growing demand for sustainable energy and stringent emission regulations necessitate the development of cleaner alternative fuels for diesel engines. This study investigates the performance and emission characteristics of a binary biodiesel blend derived from Garcinia gummi-gutta (GGG)...

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Autors principals:	Ajith BS, Manjunath Patel GC, Selçuk Sarıkoç, Olusegun D. Samuel, Manjunath Shettar
Format:	Artigo
Idioma:	Inglês
Publicat:	SpringerOpen 2026-06-01
Col·lecció:	Journal of Engineering and Applied Science
Matèries:	GGG + GI biodiesel CaO.Al₂O₃ NPs Starfish optimization algorithm DFA CCD Performance And emission characteristics
Accés en línia:	https://doi.org/10.1186/s44147-026-01089-1
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