Investigation on dynamic movement of cylindrical biomass particles in a fast fluidized bed

流态化 机械 停留时间分布 阻力 材料科学 流化床 离散元法 粒子(生态学) 生物量(生态学) 停留时间(流体动力学) 流量(数学) 脉冲(物理) 经典力学 物理 热力学 岩土工程 地质学 海洋学
作者
Fan Geng,Xinyue Feng,Haixu Teng,Lang Yuan,Jie Cai,Tie Li,Jajun An,Shilong Yuan,Shuo Wu
出处
期刊:Advanced Powder Technology [Elsevier BV]
卷期号:33 (2): 103397-103397 被引量:6
标识
DOI:10.1016/j.apt.2021.103397
摘要

The processing of biomass particles is complex in a fluidized bed due to their heterogeneous characteristics. To further understand biomass particles, the dynamic movement of cylindrical biomass particles were investigated in a fast fluidized bed. Cylindrical particles were studied via the impulse momentum theorem and the Discrete Element Method (DEM). Meanwhile, the contact action, the drag force and other conventional forces were considered. To validate the present method, the predicted orientation and the minimum fluidization velocities of cylindrical particles were compared with the relative results, and validate the present approach. Then the characteristics of biomass particle flow dynamics were analyzed in terms of the particle concentration, the orientation distribution and the residence time distribution (RTD). It was found that most particles present as the horizontal or nearly horizontal states (0°) during the fluidization, and the percentage can reach and exceed 16%. High concentration occurs near the wall due to the back flow. The lower fluidization velocity corresponds to a wider RTD. The particles with the same size leave the riser with various residence times. The applied method and the obtained results provide helpful consults to study the cylindrical and other non-spherical biomass particles in an extensive way.

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
Suchen完成签到 ,获得积分10
刚刚
无聊的冰之应助wsx采纳,获得30
1秒前
乐乐应助文静绮梅采纳,获得10
1秒前
hhhhh应助King16采纳,获得10
1秒前
云海老发布了新的文献求助10
1秒前
1秒前
1秒前
1秒前
onesilime完成签到,获得积分10
1秒前
马迦南完成签到 ,获得积分10
3秒前
zhang发布了新的文献求助10
3秒前
3秒前
4秒前
5秒前
6秒前
6秒前
chunying发布了新的文献求助10
6秒前
6秒前
6秒前
7秒前
wanning发布了新的文献求助10
7秒前
秋月飞白完成签到,获得积分10
7秒前
vincentbioinfo完成签到,获得积分10
7秒前
旺仔发布了新的文献求助10
8秒前
8秒前
damon完成签到,获得积分10
8秒前
浇汁土豆泥完成签到,获得积分10
9秒前
学无止境完成签到 ,获得积分10
10秒前
niki关注了科研通微信公众号
10秒前
10秒前
aojl90发布了新的文献求助10
10秒前
1212完成签到,获得积分10
10秒前
11秒前
Emily完成签到,获得积分10
12秒前
12秒前
传奇3应助wo采纳,获得10
12秒前
多喝矿泉水完成签到,获得积分20
12秒前
星辰大海应助damon采纳,获得10
12秒前
yxl发布了新的文献求助10
12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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
The SAGE Dictionary of Qualitative Inquiry 610
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
On the Dragon Seas, a sailor's adventures in the far east 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6345795
求助须知:如何正确求助?哪些是违规求助? 8160459
关于积分的说明 17162158
捐赠科研通 5401910
什么是DOI,文献DOI怎么找? 2860950
邀请新用户注册赠送积分活动 1838784
关于科研通互助平台的介绍 1688145