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Path: Home » Indice Pubblicazioni » Rivista La Termotecnica - Accesso riservato soci CTI » 2019, numero 09 » A 3D-CFD Methodology to Quantitativel...
Autore: M. Del Pecchia, S. Sparacino, S. Breda, G. Cantore
Collana: 2019, numero 09
Note:
While being a promising solution to reduce greenhouse gases emissions Gasoline Direct Injected (GDI) engines produce a number of particles (PN) of fine size higher than Port Fuel Injected ones. Efforts are made by the research community to understand the root causes leading to soot formation via 3D-CFD. In the present work, a Sectional Method-based methodology, to quantitatively predict GDI soot, is presented and validated against PM,
PN and Particle Size Distribution measurements on a optically accessible GDI research unit.
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