CFD Modeling of Conventional and Pre-Chamber Ignition of a High-Performance Naturally Aspirated Engine

Author:

Nodi Alessandro1,Sforza Lorenzo1,Lucchini Tommaso1,Onorati Angelo1,Buttitta Marco2,Marmorini Luca2

Affiliation:

1. Politecnico di Milano

2. Marmotors s.r.l.

Abstract

<div class="section abstract"><div class="htmlview paragraph">The abatement of carbon dioxide and pollutant emissions on motorbike spark-ignition (SI) engines is a challenging task, considering the small size, the low cost and the high power-to-weight ratio required by the market for such powertrain. In this context, the passive pre-chamber (PPC) technology is an attractive solution. The combustion duration can be reduced by igniting the air-fuel mixture inside a small volume connected to the cylinder, unfolding the way to high engine efficiencies without penalization of the peak performance. Moreover, no injectors are needed inside the PPC, guaranteeing a cheap and fast retrofitting of the existing fleet. In this work, a 3D computational fluid dynamics (CFD) investigation is carried out over an experimental configuration of motorbike SI engine, operated at fixed operating conditions with both traditional and PPC configurations. The employed CFD methodology is based on a unique flamelet-based combustion model, regardless the selected ignition strategy. First, 3D gas exchange simulations were performed to achieve realistic conditions for the power-cycle analysis. A specific care was given to the analysis of the PPC scavenging process, which is crucial for a reliable estimation of the exhaust gases stratification near the ignition position. Then, the combustion process was simulated with both ignition strategies, clarifying in particular the dependency of the hot-gases ejection process from the flow field inside the PPC. Finally, a numerical-experimental comparison was carried out in terms of pressure and heat release trends, demonstrating the reliability of the employed CFD methodology in the design of high-performance SI engines.</div></div>

Publisher

SAE International

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3