A comprehensive investigation on the internal flow and outflow characteristics of GDI elliptical divergent nozzles

喷嘴 空化 机械 湍流 阀体孔板 物理 机械工程 工程类 热力学
作者
S.-T. John Yu,Bifeng Yin,Chen Chen,Hekun Jia,Weifeng Wang
出处
期刊:International Journal of Engine Research [SAGE Publishing]
卷期号:25 (6): 1146-1156
标识
DOI:10.1177/14680874231221311
摘要

The substantial demand for enhanced combustion efficiency and achieving near-zero emissions in GDI engines has spurred the introduction of a novel approach employing elliptical divergent nozzle spray technology. This innovative method, which marries the elliptical shape with a divergent nozzle, not only elevates downstream atomization quality but also mitigates nozzle tip wetting. Nevertheless, there exists a dearth of documented research regarding the internal flow and outflow characteristics related to the atomization potential of elliptical divergent nozzles. Numerical investigations have been carried out to scrutinize alterations in the three-dimensional cavitation morphology, the dispersion of turbulent vortex structures, and the nozzle exit flow parameters across a range of cavitation number conditions for both circular and elliptical divergent nozzles. The research findings demonstrate that the cavitation intensity of the elliptical divergent nozzle consistently surpasses that of the circular divergent nozzle. Also, the elliptical divergent nozzle consistently exhibits a greater number of turbulent vortex structures compared to the circular divergent nozzle across all cavitation number conditions. Additionally, as the cavitation number decreases, the difference in turbulence vorticity magnitude between the exits of the circular and elliptical divergent nozzles gradually increases. Furthermore, the elliptical diverging orifices are more susceptible to cavitation compared to their circular counterparts. The elliptical divergent nozzle outperforms the circular nozzle with a substantial 24.6% increase in exit velocity, especially at a cavitation number of 1.016.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
琪琪扬扬发布了新的文献求助10
1秒前
1秒前
老李关注了科研通微信公众号
2秒前
爱大美发布了新的文献求助10
2秒前
人生白完成签到,获得积分10
3秒前
3秒前
niii发布了新的文献求助10
5秒前
科目三应助如意如柏采纳,获得10
6秒前
6秒前
丘比特应助LY采纳,获得10
7秒前
8秒前
搜集达人应助佳子采纳,获得10
8秒前
8秒前
顾矜应助天真书南采纳,获得10
9秒前
酷波er应助佟佳霖采纳,获得10
9秒前
拾捌发布了新的文献求助10
11秒前
11秒前
星河zp完成签到 ,获得积分10
11秒前
顺利小甜瓜应助smt采纳,获得20
12秒前
lan__完成签到,获得积分10
13秒前
13秒前
Azhar发布了新的文献求助100
13秒前
友好破茧发布了新的文献求助10
14秒前
传奇3应助Cindy采纳,获得10
15秒前
科研完成签到,获得积分10
15秒前
满意诗霜完成签到,获得积分10
18秒前
haung完成签到,获得积分10
18秒前
彭于晏女友完成签到,获得积分10
19秒前
英俊的冰棍完成签到 ,获得积分10
19秒前
20秒前
20秒前
20秒前
vict应助贝贝采纳,获得10
21秒前
21秒前
路路通完成签到,获得积分10
23秒前
华仔应助读研顺利采纳,获得10
24秒前
25秒前
黄星升发布了新的文献求助10
25秒前
看客完成签到,获得积分10
26秒前
隐形曼青应助wu采纳,获得10
26秒前
高分求助中
Cronologia da história de Macau 5000
Matrix Methods in Data Mining and Pattern Recognition 510
C语言程序设计(微课版) 500
Interactions of Vowel Quality and Prosody in East Slavic 500
Vander's Renal Physiology第10版 500
Forensic Science An Introduction to Scientific and Investigative Techniques 6th Edition 400
Reaction of 3-Methylenedihydro-(3H)furan-2-one with Diazoalkanes. Syntheses and Crystal Structures of Spiranic Cyclopropyl Compounds 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7096690
求助须知:如何正确求助?哪些是违规求助? 8753218
关于积分的说明 18513691
捐赠科研通 6651370
什么是DOI,文献DOI怎么找? 3138233
关于科研通互助平台的介绍 2246918
邀请新用户注册赠送积分活动 2113004