Modeling total drag force exerted on particles in dense swarm from experimental measurements using an inline image-based method
文献类型：期刊论文
| 作者 | Wang, Haoliang1,2; Zhang, Biyu1,2; Li, Xiangyang3; Xiao, Yiting1,2; Yang, Chao1,2,4 |
| 刊名 | CHEMICAL ENGINEERING JOURNAL
 |
| 出版日期 | 2022-03-01 |
| 卷号 | 431页码:12 |
| 关键词 | Drag force model Inline image-based method Dense swarm Solid-liquid system Computational fluid dynamics |
| ISSN号 | 1385-8947 |
| DOI | 10.1016/j.cej.2021.133485 |
| 英文摘要 | It is of significance but still a great challenge to model drag force exerted on particles in dense systems directly from experimental measurements. In this work, a new procedure using inline experimental measurements is developed to establish a total drag model. Specifically, local flow characteristics including slip velocity, particle holdup and particle acceleration are measured simultaneously using an inline vision probe. Then, the total drag coefficient exerted on particles in suspension is calculated using the inline data with the unsteady motion of particles taken into account. At last, the total drag coefficient versus five dimensionless numbers including all important factors are correlated as C-D = 3.55 x 10(-2)rho(-1.82)(r) (ArRel0.45)-Re-0.53 Re-1.79 alpha(-0.49)(P). Systematically evaluated using the image-based results in this work and PEPT data in the reference as well as Tang model, Gidaspow model and Brucato model popularly used in suspensions, the newly developed model shows some excellent characteristics. (i) It can predict flow field and solid holdup distributions with sufficient accuracy in a wider range of holdups from dilute to dense systems. (ii) Especially, the prediction precision is significantly higher (with deviation of 5.6%) in the holdup distribution compared to Gidaspow model, Brucato model and Tang model. (iii) Furthermore, better mass conservation is always kept during the simulation process compared to the other three models. It is preliminarily inferred that some particles are not fully suspended due to the smaller drag force in the case of Gidaspow model. More studies are still needed to explain quantitatively the above evaluation results. |
| WOS关键词 | DIRECT NUMERICAL SIMULATIONS ; SOLID-LIQUID SUSPENSIONS ; SIZE DISTRIBUTIONS ; VOLUME FRACTION ; CFD SIMULATION ; SINGLE BUBBLE ; STIRRED TANKS ; MASS-TRANSFER ; FLUID-FLOW ; VELOCITY |
| 资助项目 | National Key Research and Development Program[2019YFC1904204] ; National Natural Science Foundation of China[21878297] ; National Natural Science Foundation of China[22035007] ; National Natural Science Foundation of China[91934301] ; NSFC-EU project[31961133018] ; Chemistry and Chemical Engineering Guangdong Laboratory Shantou[1922006] ; Professor Zai-Sha Mao at Institute of Process Engineering |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000773482900004 |
| 出版者 | ELSEVIER SCIENCE SA |
| 资助机构 | National Key Research and Development Program ; National Natural Science Foundation of China ; NSFC-EU project ; Chemistry and Chemical Engineering Guangdong Laboratory Shantou ; Professor Zai-Sha Mao at Institute of Process Engineering |
| 源URL | [http://ir.ipe.ac.cn/handle/122111/52582]  |
| 专题 | 中国科学院过程工程研究所 |
| 通讯作者 | Li, Xiangyang; Yang, Chao |
| 作者单位 | 1.Chinese Acad Sci, Inst Proc Engn, CAS Key Lab Green Proc & Engn, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Chem Engn, Beijing 100049, Peoples R China 3.Sichuan Univ, Sch Chem Engn, Chengdu 610065, Peoples R China 4.Chinese Acad Sci, Green Mfg Inst, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Haoliang,Zhang, Biyu,Li, Xiangyang,et al. Modeling total drag force exerted on particles in dense swarm from experimental measurements using an inline image-based method[J]. CHEMICAL ENGINEERING JOURNAL,2022,431:12. |
| APA | Wang, Haoliang,Zhang, Biyu,Li, Xiangyang,Xiao, Yiting,&Yang, Chao.(2022).Modeling total drag force exerted on particles in dense swarm from experimental measurements using an inline image-based method.CHEMICAL ENGINEERING JOURNAL,431,12. |
| MLA | Wang, Haoliang,et al."Modeling total drag force exerted on particles in dense swarm from experimental measurements using an inline image-based method".CHEMICAL ENGINEERING JOURNAL 431(2022):12. |
入库方式： OAI收割
来源：过程工程研究所
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