Machine learning based analysis of diesel engine performance using Fe₃O₄ nanoadditive in sterculia foetida biodiesel blend

Abstract This investigation examines the influence of Fe₃O₄ (magnetite) nano additions in sterculia foetida methyl ester (SME) mixtures on diesel engine performance, combustion, and emissions. SME was produced using transesterification and dispersed with surface modified Fe₃O₄ nanoparticles (NPs) em...

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Srinivasarao Mylapalli, Yaswanth Kumar Reddy Maddi, Joga Rao Bikkavolu, Battula Suryanarayana Murthy, Gandhi Pullagura, H. Ravi, Milon Selvam Dennison, Debabrata Barik
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Nature Portfolio 2025-11-01
סדרה:	Scientific Reports
נושאים:	Sterculia foetida biodiesel Fe3O4 nanoparticles Diesel engine Performance Emissions Machine learning
גישה מקוונת:	https://doi.org/10.1038/s41598-025-26178-8
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!