Prediction of RCCI combustion fueled with CNG and algal biodiesel to sustain efficient diesel engines using machine learning techniques

This study used microalgae biodiesel as a high-reactive fuel directly injected along with various Compressed Natural Gas (CNG) energy shares (10, 20, 30, and 40%) as low-reactive fuel injected into the intake system. The experiments are performed in a single-cylinder, water-cooled, 1500 rpm, 3.5 kW...

Descripció completa

Dades bibliogràfiques

Autors principals:	Elumalai Ramachandran, Ravi Krishnaiah, Elumalai Perumal Venkatesan, Satyajeet Parida, Siva Krishna Reddy Dwarshala, Sher Afghan Khan, Mohammad Asif, Emanoil Linul
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2023-11-01
Col·lecció:	Case Studies in Thermal Engineering
Matèries:	CNG fuel Microalgae biodiesel Energy fraction RCCI combustion Machine learning techniques
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2214157X2300936X
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!