ArticleScientific reports2025
Machine learning and experimental emission assessment in high temperature air premixed charged compression ignition engines using the Pugh matrix.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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, supplying 70% of the fuel with direct injection and 30% through the intake air manifold. The test fuels considered were D100 (commercial diesel), AN20 + D80, SOME20 + D80, and their corresponding mixture with nano-additives CeO₂ and Al₂O₃ (10 ppm).Performance analysis showed that the highest brake thermal efficiency (BTE) was attained by the SOME20 + D80 mixture with Al₂O₃, which rose by 2.5% with respect to diesel, and AN20 + D80 with Al₂O₃ with a 2.3% rise in BTE. Brake-specific fuel consumption (BSFC) was reduced by 0.10 g/kWh for AN20 + D80 with Al₂O₃ with respect to diesel due to its lower viscosity. Emission analysis showed a hydrocarbon (HC) emission decrease of up to 7 ppm for all the blends tested, although CO₂ and NO
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