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Development of a Diesel Combustion System for Next-Generation Heavy-Duty Engines Using a Synergistic Analysis-and-Testing Approach Dumarey Automotive Italia S.p.A
- Format:
- Book
- Conference/Event
- Author/Creator:
- Belgiorno, Giacomo, author.
- Centini, Maria Pia, author.
- Pezza, Vincenzo, author.
- Cozza, Ivan F., author.
- Pesce, Francesco C., author.
- Vassallo, Alberto, author.
- Colombo, Giovanni, author.
- Gallo, Alessandro, author.
- Mirzaeian, Mohsen, author.
- Borg, Jonathan, author.
- Conference Name:
- CO2 Reduction for Transportation Systems Conference (2026-06-09 : Turin, Italy)
- Language:
- English
- Subjects (All):
- Combustion and combustion processes.
- Alternative fuels.
- Heavy trucks.
- Architecture.
- Engines.
- Vegetable oils.
- Methane.
- Biofuels.
- Local Subjects:
- Combustion and combustion processes.
- Alternative fuels.
- Heavy trucks.
- Architecture.
- Engines.
- Vegetable oils.
- Methane.
- Biofuels.
- Physical Description:
- 1 online resource
- Place of Publication:
- Warrendale, PA SAE International 2026
- Summary:
- Regulators and policymakers have introduced increasingly stringent limits on tailpipe CO₂ and pollutant emissions to accelerate the decarbonization of heavy-duty vehicle applications. The development of innovative propulsion technologies such as advanced combustion systems, low-friction reciprocating components, and improved aftertreatment solutions combined with hybridization and the adoption of alternative fuels (e.g., biogas, HVO, green hydrogen), is a key pathway for meeting future emission and GHG targets.In this study, advanced combustion systems were developed for a 13-liter diesel engine for heavy-duty truck applications, with the objective of meeting forthcoming Euro VII regulations while maximizing thermal efficiency. The combustion system architectureincluding open-bowl geometry with high aspect ratio, injector nozzle with wider spray opening angle, and reduced swirl ratiowas optimized using a Machine Learningalgorithm trained on high-fidelity 3D CFD combustion data. The method enabled the identification of two optimized combustion-system "recipes", one of which was evaluated through engine tests, which refined nozzle specifications and injection strategies, using a structured Design of Experiments (DoE) approach.Results were benchmarked against a MY24 baseline combustion system, assessing efficiency, NOxsoot trade-offs, and combustion behaviors. Based on 3D-CFD results, the advanced combustion concept achieved an improvement in Brake Thermal Efficiency (BTE) of up to +0.8% points and delivered substantial NOx reductions of up to 45%, while maintaining smoke emissions at or below baseline levels. The experimental results indicate that the advanced combustion system developments designed for next-generation heavy-duty engines can further increase BTE by up to ~1% relative to the baseline combustion system, without deteriorating the sootNOx trade-off
- Notes:
- Vendor supplied data
- Access Restriction:
- Restricted for use by site license
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