EFFECTS OF KEY PARAMETERS ON VISCOUS HOLLOW CONE SPRAY ANGLE AND AVAILABLE CORRELATION FOR SPRAY ANGLE PREDICTION

配体锥角 喷雾特性 材料科学 机械 无粘流 粘度 流量(数学) 接触角 Cone(正式语言) 压差 喷嘴 复合材料 热力学 物理 数学 喷嘴 锥面 算法
作者
Lei Sun,Yong Huang,Zhilin Liu,Wei Xiao,Shaolin Wang
出处
期刊:Atomization and Sprays [Begell House Inc.]
卷期号:32 (10): 71-88 被引量:2
标识
DOI:10.1615/atomizspr.2022040731
摘要

Pressure swirl atomizers are widely applied in daily life and production activities. The spray angle is one of the most important parameters for the pressure swirl atomizers and mainly affects the spatial distribution of sprays and droplets. The quick prediction of the spray angle is important for the design and optimization of a pressure swirl atomizer. In the present study, the effects of length of swirl chamber, liquid viscosity and pressure differential on the hollow cone spray angle are studied by experiments. An available semi-empirical correlation for hollow cone spray angle prediction is derived by proper assumptions and simplification. This available correlation is validated by comparison with the experimental results. Besides, other correlations based on inviscid flow and viscous flow are also introduced to predict the spray angle for comparison. Based on the experimental results, the measured hollow cone spray angle decreases with the increasing of length of swirl chamber and liquid viscosity nonlinearly. The measured hollow cone spray angle shows no obvious growth with the increasing of the pressure differential when the pressure differential reaches a critical value. Further, the hollow cone spray angles predicted by the present available correlation agree well with the experimental results. The prediction uncertainties can be within ±15% for all cases. While, the prediction uncertainties are no less than ±40% by other correlations. Compared with previous correlations, the present available correlation can achieve better prediction accuracy. This available correlation is capable for the quick prediction of the viscous hollow cone spray angle.

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
刚刚
张瑞彬发布了新的文献求助10
1秒前
LUCKYLI_QIAN发布了新的文献求助10
1秒前
小小台yeah完成签到,获得积分10
1秒前
1秒前
meng完成签到,获得积分10
2秒前
zhb9527完成签到,获得积分10
2秒前
2秒前
2秒前
unn发布了新的文献求助10
3秒前
3秒前
3秒前
3秒前
clm发布了新的文献求助100
4秒前
Elvichy发布了新的文献求助30
4秒前
4秒前
蕊123发布了新的文献求助10
4秒前
cuarzn完成签到,获得积分20
5秒前
怡然乐巧发布了新的文献求助10
5秒前
科研通AI6.1应助Hexagram采纳,获得10
5秒前
zgxyws完成签到,获得积分10
5秒前
丘比特应助稳重的雨灵采纳,获得30
6秒前
夏艳萍完成签到,获得积分10
6秒前
6秒前
所所应助看不懂采纳,获得10
7秒前
Akim应助unn采纳,获得10
7秒前
7秒前
萧萧发布了新的文献求助10
7秒前
SciGPT应助026采纳,获得10
8秒前
张思梦关注了科研通微信公众号
8秒前
8秒前
luozejun发布了新的文献求助10
8秒前
9秒前
111111发布了新的文献求助10
9秒前
忠一完成签到,获得积分10
9秒前
9秒前
CipherSage应助呆萌树叶采纳,获得10
9秒前
10秒前
founoers发布了新的文献求助10
10秒前
cuarzn发布了新的文献求助10
10秒前
高分求助中
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Propeller Design 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Handbook of pharmaceutical excipients, Ninth edition 1500
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 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6010665
求助须知:如何正确求助?哪些是违规求助? 7556567
关于积分的说明 16134437
捐赠科研通 5157332
什么是DOI,文献DOI怎么找? 2762362
邀请新用户注册赠送积分活动 1740942
关于科研通互助平台的介绍 1633458