CAS OpenIR
Modeling total drag force exerted on particles in dense swarm from experimental measurements using an inline image-based method
Wang, Haoliang1,2; Zhang, Biyu1,2; Li, Xiangyang3; Xiao, Yiting1,2; Yang, Chao1,2,4
2022-03-01
Source PublicationCHEMICAL ENGINEERING JOURNAL
ISSN1385-8947
Volume431Pages:12
AbstractIt 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.
KeywordDrag force model Inline image-based method Dense swarm Solid-liquid system Computational fluid dynamics
DOI10.1016/j.cej.2021.133485
Language英语
WOS KeywordDIRECT NUMERICAL SIMULATIONS ; SOLID-LIQUID SUSPENSIONS ; SIZE DISTRIBUTIONS ; VOLUME FRACTION ; CFD SIMULATION ; SINGLE BUBBLE ; STIRRED TANKS ; MASS-TRANSFER ; FLUID-FLOW ; VELOCITY
Funding ProjectNational 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 Research AreaEngineering
WOS SubjectEngineering, Environmental ; Engineering, Chemical
Funding OrganizationNational 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
WOS IDWOS:000773482900004
PublisherELSEVIER SCIENCE SA
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ipe.ac.cn/handle/122111/52583
Collection中国科学院过程工程研究所
Corresponding AuthorLi, Xiangyang; Yang, Chao
Affiliation1.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
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang, Haoliang]'s Articles
[Zhang, Biyu]'s Articles
[Li, Xiangyang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang, Haoliang]'s Articles
[Zhang, Biyu]'s Articles
[Li, Xiangyang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang, Haoliang]'s Articles
[Zhang, Biyu]'s Articles
[Li, Xiangyang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.