Numerical simulation on gas behavior inside pellet based on X-ray micro-computed tomography

被引:6
|
作者
Qiu, Dejin [1 ]
Wang, Kai [1 ]
Xiong, Yuandong [1 ]
Wei, Han [2 ]
Elsherbiny, Abdallah Ahmed [1 ,3 ]
Zhu, Yongjun [4 ]
Song, Wengang [4 ]
Yu, Yaowei [1 ]
机构
[1] Shanghai Univ, Sch Mat Sci & Engn, State Key Lab Adv Special Steel, Shanghai Key Lab Adv Ferrometallurgy, Shanghai, Peoples R China
[2] Jiangsu Univ Sci & Technol, Sch Met Engn, Zhangjiagang 215600, Jiangsu, Peoples R China
[3] Mansoura Univ, Fac Engn, Prod & Mech Design Engn Dept, Mansoura 35516, Egypt
[4] Baoshan Iron & Steel Co Ltd, Ironmaking Plant, Baosteel Branch, Shanghai 200940, Peoples R China
基金
中国国家自然科学基金;
关键词
Computational fluid dynamics; Realistic pellet model; X-ray micro-computed tomography; Three-dimensional reconstruction; Microfluidic boundary layer theory; STRUCTURAL MODEL; SOLID REACTIONS; MOVING BOUNDARY; SIZE DISTRIBUTION; HEMATITE PELLET; GRAIN-SIZE; REDUCTION; IRON; STEELMAKING; POROSITY;
D O I
10.1016/j.powtec.2023.119270
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The objective of this work is to investigate gas behavior inside a realistic pellet model while varying inlet velocities and comparing it against published studies. A CT three-dimensional (3D) reconstruction technique was performed to construct a realistic pellet model from the two-dimensional (2D) tomographic images. The distribution of gas velocity, pressure, and species inside the pellet was investigated with computational fluid dynamics (CFD) and microfluidic boundary layer theory. The results indicated that pellet morphology, pore size, and position were responsible for the variability in velocity anisotropy inside the pellet. The pressure gradient between the windward and leeward sides of the pellet tended to rise as the inlet velocity increased, up to a maximum value of 4.2 Pa. Moreover, the pressure gradient resulted in a higher species concentration on the windward side, particularly at lower flow velocities. Finally, the potential effect of the pellet structure on the reduction process is proposed.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Analysis of the fetal placental vascular tree by X-ray micro-computed tomography
    Langheinrich, AC
    Wienhard, J
    Vormann, S
    Hau, B
    Bohle, RM
    Zygmunt, M
    PLACENTA, 2004, 25 (01) : 95 - 100
  • [22] The Effect of Experiment Variabies on Industrial X-ray Micro-computed Tomography Sensitivity
    Roth, D. J.
    Rauser, R. W.
    MATERIALS EVALUATION, 2015, 73 (12) : 1577 - 1584
  • [23] X-ray micro-computed tomography system: Novel applications in bone imaging
    Latson, L
    Kuban, B
    Bryan, J
    Stredney, D
    Davros, W
    Midura, R
    Apte, S
    Powell, K
    PROCEEDINGS OF THE 25TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4: A NEW BEGINNING FOR HUMAN HEALTH, 2003, 25 : 1058 - 1061
  • [24] Automated Quantitative Bone Analysis in In Vivo X-ray Micro-Computed Tomography
    Behrooz, Ali
    Kask, Peet
    Meganck, Jeff
    Kempner, Joshua
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2017, 36 (09) : 1955 - 1965
  • [25] Development of high-speed fluorescent x-ray micro-computed tomography
    Takeda, T
    Tsuchiya, Y
    Kuroe, T
    Zeniya, T
    Wu, J
    Thet-Thet-Lwin
    Yashiro, T
    Yuasa, T
    Hyodo, K
    Matsumura, K
    Dilmanian, FA
    Itai, Y
    Akatsuka, T
    SYNCHROTRON RADIATION INSTRUMENTATION, 2004, 705 : 1320 - 1323
  • [26] Spatial resolution of drug crystallisation in the skin by X-ray micro-computed tomography
    Goh, Choon Fu
    O'Flynn, Daniel
    Speller, Robert
    Lane, Majella E.
    MICRON, 2021, 145
  • [27] Laboratory x-ray micro-computed tomography: a user guideline for biological samples
    du Plessis, Anton
    Broeckhoven, Chris
    Guelpa, Anina
    le Roux, Stephan Gerhard
    GIGASCIENCE, 2017, 6 (06):
  • [28] X-ray micro-computed tomography and tortuosity calculations of percolating pore networks
    Shanti, Noah O.
    Chan, Victor W. L.
    Stock, Stuart R.
    De Carlo, Francesco
    Thornton, Katsuyo
    Faber, Katherine T.
    ACTA MATERIALIA, 2014, 71 : 126 - 135
  • [29] Application of the X-ray micro-computed tomography to the analysis of the structure of polymeric materials
    Szewczykowski, Piotr P.
    Skarzynski, Lukasz
    POLIMERY, 2019, 64 (01) : 12 - 22
  • [30] Virtual histology uncertainty in synchrotron x-ray micro-computed tomography evaluation
    Lauridsen, T.
    Feidenhans'l, R.
    Pinholt, E. M.
    JOURNAL OF CRANIO-MAXILLOFACIAL SURGERY, 2018, 46 (09) : 1569 - 1575