Numerical Study on the Design of a Passive Pre-Chamber for a Heavy-Duty Hydrogen Combustion Engine

燃烧室 燃烧 重型的 汽车工程 环境科学 核工程 工程类 物理 化学 量子力学 有机化学
作者
R.J. Maas,Cemil Bekdemir,Bart Somers
出处
期刊:SAE technical paper series 被引量:2
标识
DOI:10.4271/2024-01-2112
摘要

<div class="section abstract"><div class="htmlview paragraph">Lean-burn hydrogen internal combustion engines are a good option for future transportation solutions since they do not emit carbon-dioxide and unburned hydro-carbons, and the emissions of nitric-oxides (NOx) can be kept low. However, under lean-burn conditions the combustion duration increases, and the combustion stability decreases, leading to a reduced thermal efficiency. Turbulent jet ignition (TJI) can be used to extend the lean-burn limit, while decreasing the combustion duration and improving combustion stability. The objective of this paper is to investigate the feasibility of a passive pre-chamber TJI system on a heavy-duty hydrogen engine under lean-burn conditions using CFD modelling. The studied concept is mono-fuel, port-fuel injected, and spark ignited in the pre-chamber. The overall design of the pre-chamber is discussed and the effect of design parameters on the engine performance are studied. From this analysis, it was found that the volume of the pre-chamber and the area of the pre-chamber holes have major impact on the performance of the pre-chamber. Next, the difference between a regular spark-ignited combustion and a TJI system are investigated at a medium load point. The combustion duration is shortened significantly using a passive pre-chamber. However, the heat transfer loss through the walls increased significantly due to prolonged higher temperatures and higher turbulence near the combustion chamber walls. Finally, the air-fuel ratio is increased to study its effect on the heat transfer loss and NOx emissions.</div></div>

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
胡晓龙发布了新的文献求助10
1秒前
云是完成签到 ,获得积分10
2秒前
caizx完成签到,获得积分10
3秒前
所所应助ZL采纳,获得10
3秒前
科科完成签到 ,获得积分10
5秒前
爱听歌的依秋完成签到,获得积分10
6秒前
Littlerain~完成签到,获得积分10
7秒前
CodeCraft应助花生了什么树采纳,获得10
12秒前
LYSnow7完成签到 ,获得积分10
13秒前
13秒前
Owen应助Noah采纳,获得10
15秒前
19秒前
never发布了新的文献求助10
19秒前
20秒前
书记发布了新的文献求助10
20秒前
博修发布了新的文献求助10
21秒前
22秒前
大个应助binbin采纳,获得10
23秒前
HQS发布了新的文献求助30
24秒前
黎乐荷发布了新的文献求助10
25秒前
可爱的石头完成签到,获得积分10
25秒前
ranj完成签到,获得积分10
27秒前
王哆哆完成签到,获得积分10
27秒前
29秒前
852应助iWanted采纳,获得10
31秒前
FashionBoy应助keyantong1采纳,获得10
31秒前
WANG完成签到,获得积分10
33秒前
33秒前
33秒前
33秒前
田様应助tuao234采纳,获得30
34秒前
花生了什么树完成签到,获得积分10
34秒前
38秒前
华仔应助KY采纳,获得10
38秒前
时尚听筠发布了新的文献求助10
38秒前
kls发布了新的文献求助10
38秒前
39秒前
李健的小迷弟应助kls采纳,获得10
42秒前
小二郎应助Tina采纳,获得10
42秒前
隐形曼青应助月亮不营业采纳,获得10
43秒前
高分求助中
【请各位用户详细阅读此贴后再求助】科研通的精品贴汇总(请勿应助) 10000
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
徐淮辽南地区新元古代叠层石及生物地层 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Research on Disturbance Rejection Control Algorithm for Aerial Operation Robots 1000
Global Eyelash Assessment scale (GEA) 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4046142
求助须知:如何正确求助?哪些是违规求助? 3583869
关于积分的说明 11390815
捐赠科研通 3311163
什么是DOI,文献DOI怎么找? 1822153
邀请新用户注册赠送积分活动 894354
科研通“疑难数据库(出版商)”最低求助积分说明 816171