Numerical and experimental study of the flow distribution inside slender packed beds of spherocylindrical particles

Ali Fathiganjehlou; Noah Romijn; Yasmine Bergmans; Maike W. Baltussen; Kay A. Buist; E.A.J.F. Peters; J.A.M. Kuipers

doi:10.1016/j.powtec.2023.119103

Numerical and experimental study of the flow distribution inside slender packed beds of spherocylindrical particles

Ali Fathiganjehlou, Noah Romijn, Yasmine Bergmans, Maike W. Baltussen, Kay A. Buist (Corresponding author), E.A.J.F. Peters, J.A.M. Kuipers

Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review

2 Citaten (Scopus)

72 Downloads (Pure)

Samenvatting

In this paper, Magnetic Resonance Imaging (MRI) and a Pore Network Model (PNM) are used to characterize the flow in packed beds of spherocylindrical particles. PNM is chosen as it is a relatively fast numerical approach, which provides local information on the bed flow pattern. MRI scans of packed bed reactors provide detailed information on the bed structure and the flow. In this study, the packed beds are reconstructed from the MRI images. The impact of the image quality on the PNM’s flow field prediction is assessed. It is shown that improved image quality significantly enhances prediction accuracy. With a sufficient image quality, PNM is able to closely match MRI in predicting the flow fields and capture important characteristics such as wall channeling.

Originele taal-2	Engels
Artikelnummer	119103
Aantal pagina's	11
Tijdschrift	Powder Technology
Volume	431
DOI's	https://doi.org/10.1016/j.powtec.2023.119103
Status	Gepubliceerd - 1 jan. 2024

Financiering

This work is part of the research programme TOP Grants Chemical Sciences with project number 716 018 001 which is financed by the Dutch Research Council (NWO) , and it is also supported by the Netherlands Center for Multiscale Catalytic Energy Conversion (MCEC) , an NWO Gravitation program funded by the Ministry of Education, Culture, and Science of the government of the Netherlands.

Financiers	Financiernummer
Netherlands Center for Multiscale Catalytic Energy Conversion
Ministerie van OCW
Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Toegang tot document

10.1016/j.powtec.2023.119103

pdfDefinitieve gepubliceerde versie, 4,06 MBLicentie: CC BY

Andere bestanden en links

Link naar publicatie in Scopus

Citeer dit

@article{47704f2fa98e46ba8d0b4fe3ca5e44a8,

title = "Numerical and experimental study of the flow distribution inside slender packed beds of spherocylindrical particles",

abstract = "In this paper, Magnetic Resonance Imaging (MRI) and a Pore Network Model (PNM) are used to characterize the flow in packed beds of spherocylindrical particles. PNM is chosen as it is a relatively fast numerical approach, which provides local information on the bed flow pattern. MRI scans of packed bed reactors provide detailed information on the bed structure and the flow. In this study, the packed beds are reconstructed from the MRI images. The impact of the image quality on the PNM{\textquoteright}s flow field prediction is assessed. It is shown that improved image quality significantly enhances prediction accuracy. With a sufficient image quality, PNM is able to closely match MRI in predicting the flow fields and capture important characteristics such as wall channeling.",

keywords = "Hydrodynamics, Slender packed bed reactors, Magnetic resonance imaging, Pore Network Modelling, Spherocylindrical particles, Position and orientation detection",

author = "Ali Fathiganjehlou and Noah Romijn and Yasmine Bergmans and Baltussen, {Maike W.} and Buist, {Kay A.} and E.A.J.F. Peters and J.A.M. Kuipers",

year = "2024",

month = jan,

day = "1",

doi = "10.1016/j.powtec.2023.119103",

language = "English",

volume = "431",

journal = "Powder Technology",

issn = "0032-5910",

publisher = "Elsevier",

}

TY - JOUR

T1 - Numerical and experimental study of the flow distribution inside slender packed beds of spherocylindrical particles

AU - Fathiganjehlou, Ali

AU - Romijn, Noah

AU - Bergmans, Yasmine

AU - Baltussen, Maike W.

AU - Buist, Kay A.

AU - Peters, E.A.J.F.

AU - Kuipers, J.A.M.

PY - 2024/1/1

Y1 - 2024/1/1

N2 - In this paper, Magnetic Resonance Imaging (MRI) and a Pore Network Model (PNM) are used to characterize the flow in packed beds of spherocylindrical particles. PNM is chosen as it is a relatively fast numerical approach, which provides local information on the bed flow pattern. MRI scans of packed bed reactors provide detailed information on the bed structure and the flow. In this study, the packed beds are reconstructed from the MRI images. The impact of the image quality on the PNM’s flow field prediction is assessed. It is shown that improved image quality significantly enhances prediction accuracy. With a sufficient image quality, PNM is able to closely match MRI in predicting the flow fields and capture important characteristics such as wall channeling.

AB - In this paper, Magnetic Resonance Imaging (MRI) and a Pore Network Model (PNM) are used to characterize the flow in packed beds of spherocylindrical particles. PNM is chosen as it is a relatively fast numerical approach, which provides local information on the bed flow pattern. MRI scans of packed bed reactors provide detailed information on the bed structure and the flow. In this study, the packed beds are reconstructed from the MRI images. The impact of the image quality on the PNM’s flow field prediction is assessed. It is shown that improved image quality significantly enhances prediction accuracy. With a sufficient image quality, PNM is able to closely match MRI in predicting the flow fields and capture important characteristics such as wall channeling.

KW - Hydrodynamics

KW - Slender packed bed reactors

KW - Magnetic resonance imaging

KW - Pore Network Modelling

KW - Spherocylindrical particles

KW - Position and orientation detection

UR - http://www.scopus.com/inward/record.url?scp=85175293127&partnerID=8YFLogxK

U2 - 10.1016/j.powtec.2023.119103

DO - 10.1016/j.powtec.2023.119103

M3 - Article

AN - SCOPUS:85175293127

SN - 0032-5910

VL - 431

JO - Powder Technology

JF - Powder Technology

M1 - 119103

ER -

Numerical and experimental study of the flow distribution inside slender packed beds of spherocylindrical particles

Samenvatting

Financiering

Toegang tot document

Andere bestanden en links

Vingerafdruk

Citeer dit