A review of the pre-chamber ignition system applied on future low-carbon spark ignition engines

S Zhu, S Akehurst, A Lewis, H Yuan - Renewable and Sustainable Energy …, 2022 - Elsevier
Legislations for greenhouse gas and pollutant emissions from light-duty vehicles are
pushing the spark ignition engine to be cleaner and more efficient. As one of the promising …

[HTML][HTML] Numerical and experimental evaluation of the passive pre-chamber concept for future CNG SI engines

R Payri, R Novella, I Barbery, O Bori-Fabra - Applied Thermal Engineering, 2023 - Elsevier
The third decade of the 21st century is set to be one of the most relevant in terms of the
transition of methods and forms of using different energy sources, with short and medium …

Numerical analysis of the passive pre-chamber ignition concept for light duty applications

R Novella, J Gómez-Soriano, I Barbery… - Applied Thermal …, 2022 - Elsevier
The use of advanced ignition concepts and enhanced combustion strategies is being widely
studied for modern engine applications. In this framework, the passive pre-chamber ignition …

Optical evaluation of orifice orientation and number effects on active pre-chamber spark ignition combustion

R Novella, J De la Morena, V Pagano, R Pitarch - Fuel, 2023 - Elsevier
Pre-chamber spark ignition combustion has shown several advantages for its
implementation in engines, mainly related to its capability to achieve stable operation at lean …

Knowledge-based data identification for machine learning use cases

H Ebel, SB Hassine, R Stark - Proceedings of the Design Society, 2023 - cambridge.org
The number of digital solutions based on machine learning has increased in recent years. In
many industrial sectors, they try to enhance automation in manual or repetitive tasks or …

Classification framework for machine learning support in manufacturing

B Ördek, Y Borgianni, E Coatanea - International Symposium on Industrial …, 2022 - Springer
Advancement in the production industry moves towards automation due to an increase in
demand. Artificial intelligence (AI) has been introduced in industrial applications to this …

Reconstruction and analysis of negatively buoyant jets with interpretable machine learning

M Alvir, L Grbčić, A Sikirica, L Kranjčević - Marine pollution bulletin, 2023 - Elsevier
In this paper, negatively inclined buoyant jets, which appear during the discharge of
wastewater from processes such as desalination, are observed. A detailed numerical …

Experimental study of turbulent flame propagation under wall film conditions

H Zhang, X Liang, Y Wang, S Zhu, Z Liu - Fuel, 2022 - Elsevier
The presence of a liquid wall film caused by spray impingement is inevitable in modern
direct injection engines and can have a substantial effect on flame dynamics and pollutant …

Swirl-induced motion prediction with physics-guided machine learning utilizing spatiotemporal flow field structure

Z Zhou, F Zhao, D Hung - … Journal of Numerical Methods for Heat & …, 2024 - emerald.com
Purpose Higher energy conversion efficiency of internal combustion engine can be
achieved with optimal control of unsteady in-cylinder flow fields inside a direct-injection (DI) …

Impact of Injection Valve Condition on Data-driven Prediction of Key Combustion Parameters Based on an Intelligent Diesel Fuel Injector for Large Engine …

C Laubichler, C Kiesling, S Warter, M Kober, A Wimmer… - 2024 - sae.org
The advent of digitalization opens up new avenues for advances in large internal
combustion engine technology. Key engine components are becoming" intelligent" through …