已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

An Experimental and Numerical Study of Flow and Convective Heat Transfer in a Freely Falling Curtain of Particles

粒子(生态学) 机械 阻力 阻力系数 传热 传热系数 材料科学 对流 热力学 工作(物理) 物理 地质学 海洋学
作者
Jill M. Hruby,Richard R. Steeper,G.H. Evans,Clayton Crowe
出处
期刊:Journal of Fluids Engineering-transactions of The Asme [ASM International]
卷期号:110 (2): 172-181 被引量:72
标识
DOI:10.1115/1.3243531
摘要

The flow characteristics and convective heat transfer in a freely falling curtain of spherical particles with an average diameter of 650 μm has been studied experimentally and numerically. Both heated and unheated particle flows have been considered. This work is part of a larger study to determine the feasibility of using particles to directly absorb the insolation in a solar central receiver for high temperature applications. The particles of interest are Norton Master Beads™ which are primarily aluminum oxide. Measurements have been made of particle velocity in heated and unheated particle flows, and particle temperature and air temperature in heated particle flows. Comparison of the measurements with calculations has been made for two particle mass flow rates at room temperature and at two initial elevated particle temperatures. Excellent agreement between numerical and experimental results is obtained for particle velocity in the unheated flow. For the heated particles, both data and predictions show the same trends with regard to particle velocity, particle temperature, and air temperature. However, the calculations of these quantities overpredict the data. The results suggest that the drag coefficient in flows where the particles are hot compared to the air is larger than predicted using conventional methods to account for nonisothermal effects. The prediction of particle temperature and air temperature attained with a drag coefficient that is larger than the standard drag coefficient agrees well with the data.
最长约 10秒,即可获得该文献文件

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
bingbing完成签到,获得积分10
刚刚
科研通AI6.4应助Samuel采纳,获得10
2秒前
fff完成签到 ,获得积分10
2秒前
HJJHJH发布了新的文献求助10
4秒前
Kao完成签到,获得积分0
6秒前
陈俐俐完成签到,获得积分10
7秒前
9秒前
cdercder应助科研通管家采纳,获得10
9秒前
cdercder应助科研通管家采纳,获得10
9秒前
10秒前
6666应助科研通管家采纳,获得10
10秒前
充电宝应助科研通管家采纳,获得10
10秒前
所所应助科研通管家采纳,获得10
10秒前
Kao应助科研通管家采纳,获得10
10秒前
晒透完成签到,获得积分10
11秒前
Ying完成签到,获得积分10
12秒前
茗白完成签到,获得积分10
12秒前
小蘑菇应助朱广能采纳,获得10
12秒前
chen01hang发布了新的文献求助20
14秒前
十月发布了新的文献求助10
15秒前
爆米花应助Samuel采纳,获得10
17秒前
sdf完成签到 ,获得积分10
17秒前
Yuther完成签到 ,获得积分10
19秒前
科研小牛完成签到,获得积分10
20秒前
Ava应助顾思凡采纳,获得10
20秒前
十月完成签到,获得积分10
24秒前
潘玉平关注了科研通微信公众号
25秒前
悲凉的雁芙完成签到,获得积分10
25秒前
28秒前
29秒前
Song完成签到 ,获得积分10
30秒前
科研通AI6.2应助Samuel采纳,获得10
31秒前
星辰大海应助doufly采纳,获得10
32秒前
haru发布了新的文献求助10
34秒前
朱广能发布了新的文献求助10
36秒前
感动书蝶完成签到 ,获得积分10
37秒前
骑着蜗牛撵大象完成签到,获得积分20
42秒前
goodltl完成签到 ,获得积分10
43秒前
科研通AI6.4应助Samuel采纳,获得10
45秒前
风趣的冰蓝完成签到,获得积分10
45秒前
高分求助中
(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
Principles of town planning: translating concepts to applications 1000
Navigating Normative Orders. Interdisciplinary Perspectives 800
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 7738566
求助须知:如何正确求助?哪些是违规求助? 9287601
关于积分的说明 20184267
捐赠科研通 7316425
什么是DOI,文献DOI怎么找? 3305909
关于科研通互助平台的介绍 2458258
邀请新用户注册赠送积分活动 2315792