Improved Semiempirical Correlation to Predict Sauter Mean Diameter for Pressure-Swirl Atomizers

作者
Wei Xiao,Yong Huang
出处
期刊:Journal of Propulsion and Power [American Institute of Aeronautics and Astronautics]
卷期号:30 (6): 1628-1635 被引量:54
标识
DOI:10.2514/1.b35238
摘要

The Sauter mean diameter of pressure-swirl atomizers plays a critical role in combustors. The semiempirical correlations are extensively employed in the preliminary combustion design stage to estimate the Sauter mean diameter for combustors. However, few correlations are capable to reflect the effects of geometry on the Sauter mean diameter with satisfied accuracy. In this study, a semiempirical model improved from the surface wave breakup theory was established to predict Sauter mean diameter of pressure-swirl atomizers. Three geometric elements of atomizers, including tangential ports, swirl chamber, and discharge orifice, pose a significant effect on the Sauter mean diameter of pressure-swirl atomizers. The effects of the three geometric elements on Sauter mean diameter are included in the semiempirical correlation. Eighteen different pressure-swirl atomizers were employed in the experiment to verify the established model. Pressure-swirl atomizers are here investigated experimentally at supply pressures up to 12 bar. Water and kerosene were applied in the verification of the model. The uncertainty of prediction on the Sauter mean diameter is less than . The precision of improved semiempirical correlation was also verified with the experimental results from other literature. The improved semiempirical correlation is proved to be qualified for the optimization of existing pressure-swirl atomizers.

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
bsf123完成签到,获得积分10
1秒前
1820877108发布了新的文献求助10
1秒前
bkagyin应助无私夏旋采纳,获得10
1秒前
2秒前
senli2018发布了新的文献求助10
3秒前
眼睛大的小熊猫完成签到,获得积分10
3秒前
JamesPei应助senli2018采纳,获得10
3秒前
3秒前
若兰发布了新的文献求助10
4秒前
6秒前
额特别发布了新的文献求助10
7秒前
科研通AI6.4应助anwen采纳,获得10
8秒前
共享精神应助稳重的书双采纳,获得10
8秒前
xuan发布了新的文献求助10
8秒前
PGM发布了新的文献求助10
8秒前
9秒前
Lucas应助lll采纳,获得10
10秒前
10秒前
11秒前
大个应助要减肥的宛儿采纳,获得10
11秒前
12秒前
月月完成签到,获得积分10
12秒前
13秒前
开朗黑猫发布了新的文献求助10
14秒前
15秒前
SciGPT应助开朗的尔琴采纳,获得10
16秒前
16秒前
小颜完成签到,获得积分10
17秒前
17秒前
初景发布了新的文献求助10
17秒前
17秒前
xuan发布了新的文献求助10
18秒前
ding应助阿聪采纳,获得10
19秒前
lll完成签到,获得积分10
19秒前
19秒前
研友_VZG7GZ应助乌拉挂机采纳,获得10
20秒前
烟花应助shuxin采纳,获得30
20秒前
要减肥的宛儿完成签到 ,获得积分10
21秒前
21秒前
糖果不甜完成签到,获得积分10
22秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 2030
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
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 7576852
求助须知:如何正确求助?哪些是违规求助? 9156487
关于积分的说明 19588700
捐赠科研通 7160673
什么是DOI,文献DOI怎么找? 3265177
关于科研通互助平台的介绍 2430231
邀请新用户注册赠送积分活动 2255758