Session: 06-01: Spray Modeling
Paper Number: 148611
148611 - Merit-Function-Driven Optimization of Cfd Model Parameters for Gasoline Sprays in Direct Injection Engines
Abstract:
Gasoline Direct Injection (GDI) is a key technology for achieving reduction of carbon dioxide emissions and criteria pollutants, often combined with boosted operation and engine downsizing. The development of advanced GDI internal combustion engines is increasingly focused on refining the in-cylinder spray processes, encompassing spray formation, evaporation, fuel-air mixing, and combustion, to achieve both homogeneous and stratified combustion. Given the broad spectrum of operating conditions, from cold starts to early and late injections at different engine loads, accurately modeling spray formation and evolution presents significant challenges. This study introduces a merit function designed to optimize spray morphology across diverse conditions, injector geometries, and fuel types. Model validation was carried out against experimental data available through the Engine Combustion Network and the recently concluded PACE Program funded by the U.S. DOE, ensuring consistency between CFD and experimental data processing. The proposed merit function evaluates key attributes of spray behavior, including penetration length and spray width, to address key factors such as evaporation and fuel dispersion, both during and after the end of injection. This research offers valuable insights for improving engine designs and operation and provides enhanced confidence in free-spray modeling, with the goal of improving spray-wall interaction predictions under various operating conditions.
Presenting Author: Lien Hao-Pin Argonne National Laboratory
Presenting Author Biography: Paul Lien is a Postdoctoral Researcher at Argonne National Laboratory since February 2024. He earned his PhD in 2023 from Technical University Darmstadt, Germany, mainly focusing on spray-wall-flow interaction in DISI engines.
During his PhD, Paul was active in the Darmstadt Engine Workshop and was also one of the topic leaders for the methanol and PACE-20 sections in the ECN 9 workshop.
Authors:
Lien Hao-Pin Argonne National LaboratoryBestel Diego Argonne National Laboratory
Muhsin Ameen Argonne National Laboratory
Roberto Torelli Argonne National Laboratory
Le Zhao Aramco Americas: Aramco Research Center - Detroit
Anqi Zhang Aramco Americas: Aramco Research Center - Detroit
Ji-Woong Park Aramco Americas: Aramco Research Center - Detroit
Yuanjiang Pei Aramco Americas: Aramco Research Center - Detroit
Merit-Function-Driven Optimization of Cfd Model Parameters for Gasoline Sprays in Direct Injection Engines
Paper Type
Technical Presentation Only
