Machine learning and experimental emission assessment in high temperature air premixed charged compression ignition engines using the Pugh matrix

Machine learning and experimental emission assessment in high temperature air premixed charged compression ignition engines using the Pugh matrix

Abstract This research explores the performance, exhaust emissions, and combustion properties of a Premixed Charged Compression Ignition (PCCI) engine using combinations of Andropogon narudus (AN) and Sapota Oil Methyl Ester (SOME) blended as substitute fuels. A split-fuel injection system was used,...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohammed Al Awadh, Kah Ong Michael Goh
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Machine learning
Sustainability metrics
Emission assessment
PCCI engines
And Pugh matrix
Online Access:https://doi.org/10.1038/s41598-025-00523-3
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-00523-3

Similar Items