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
懵懂的明辉完成签到,获得积分10
刚刚
1秒前
星映弈完成签到 ,获得积分10
1秒前
隐形忆丹完成签到,获得积分10
1秒前
hahahahaha完成签到,获得积分10
1秒前
郭强强完成签到,获得积分10
1秒前
饶天源完成签到,获得积分10
1秒前
teadan完成签到 ,获得积分10
1秒前
matty发布了新的文献求助10
2秒前
Orange应助开朗水云采纳,获得10
2秒前
博修发布了新的文献求助10
2秒前
陌路人完成签到,获得积分10
2秒前
多毛巨兽完成签到 ,获得积分10
2秒前
张瑜发布了新的文献求助10
2秒前
汉堡包应助寡聚体采纳,获得10
3秒前
3秒前
3秒前
852应助科研通管家采纳,获得10
3秒前
reed1220完成签到,获得积分20
3秒前
烟花应助科研通管家采纳,获得10
3秒前
孤独寻云完成签到,获得积分10
3秒前
3秒前
cxyyy完成签到,获得积分10
3秒前
Kao应助科研通管家采纳,获得10
3秒前
mashengzhe完成签到,获得积分20
3秒前
3秒前
Owen应助科研通管家采纳,获得10
3秒前
3秒前
李健应助科研通管家采纳,获得10
4秒前
4秒前
乐乐应助科研通管家采纳,获得10
4秒前
李爱国应助科研通管家采纳,获得10
4秒前
molihuakai应助xm采纳,获得20
4秒前
Kao应助科研通管家采纳,获得10
4秒前
深情安青应助科研通管家采纳,获得10
4秒前
彭于晏应助科研通管家采纳,获得10
5秒前
5秒前
可爱的函函应助辣个男子采纳,获得10
5秒前
5秒前
5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
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 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 7606636
求助须知:如何正确求助?哪些是违规求助? 9182455
关于积分的说明 19666637
捐赠科研通 7180838
什么是DOI,文献DOI怎么找? 3269605
关于科研通互助平台的介绍 2433547
邀请新用户注册赠送积分活动 2263836