Computational modelling of packed bed systems

N. Gopinathan; Michael Fairweather; Xiaodong Jia; Richard A Williams

Computational modelling of packed bed systems

N. Gopinathan^*, Michael Fairweather, Xiaodong Jia, Richard A Williams

^*Corresponding author for this work

School of Engineering & Physical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Predicting particle packing and flow through porous media has long been a problem for engineers of many disciplines. This paper describes a novel digitalisation approach, which is capable of predicting the way in which particles of any shape pack into a container of any geometry. The particle shapes are acquired using X-ray microtomography (XMT). Lattice Boltzmann method (LBM) can then be used to predict fluid flow through the generated packing structure. It is demonstrated that the combination of the digital packing model DigiPac and LBM provides a powerful modelling capability for packed beds that is of value to the improved design of a wide range of unit operations. Through the use of XMT, the combination also gives higher-resolution results than, for example, the combination of magnetic resonance imaging and LBM previously reported.

Original language	English
Title of host publication	3rd World Congress on Industrial Process Tomography
Publisher	International Society for Industrial Process Tomography
Pages	601-606
Number of pages	6
ISBN (Print)	9780853163190
Publication status	Published - 2003
Event	3rd World Congress on Industrial Process Tomography - Banff, Canada Duration: 2 Sept 2003 → 5 Sept 2003

Conference

Conference	3rd World Congress on Industrial Process Tomography
Country/Territory	Canada
City	Banff
Period	2/09/03 → 5/09/03

Keywords

Lattice Boltzmann method
Particle packing
X-ray tomography

ASJC Scopus subject areas

Computer Science Applications
Control and Systems Engineering
Computer Vision and Pattern Recognition
Computational Mechanics

Cite this

@inproceedings{de8c8befe2914c7e96789e1b3ea20260,

title = "Computational modelling of packed bed systems",

abstract = "Predicting particle packing and flow through porous media has long been a problem for engineers of many disciplines. This paper describes a novel digitalisation approach, which is capable of predicting the way in which particles of any shape pack into a container of any geometry. The particle shapes are acquired using X-ray microtomography (XMT). Lattice Boltzmann method (LBM) can then be used to predict fluid flow through the generated packing structure. It is demonstrated that the combination of the digital packing model DigiPac and LBM provides a powerful modelling capability for packed beds that is of value to the improved design of a wide range of unit operations. Through the use of XMT, the combination also gives higher-resolution results than, for example, the combination of magnetic resonance imaging and LBM previously reported.",

keywords = "Lattice Boltzmann method, Particle packing, X-ray tomography",

author = "N. Gopinathan and Michael Fairweather and Xiaodong Jia and Williams, {Richard A}",

year = "2003",

language = "English",

isbn = "9780853163190",

pages = "601--606",

booktitle = "3rd World Congress on Industrial Process Tomography",

publisher = "International Society for Industrial Process Tomography",

note = "3rd World Congress on Industrial Process Tomography ; Conference date: 02-09-2003 Through 05-09-2003",

}

TY - GEN

T1 - Computational modelling of packed bed systems

AU - Gopinathan, N.

AU - Fairweather, Michael

AU - Jia, Xiaodong

AU - Williams, Richard A

PY - 2003

Y1 - 2003

N2 - Predicting particle packing and flow through porous media has long been a problem for engineers of many disciplines. This paper describes a novel digitalisation approach, which is capable of predicting the way in which particles of any shape pack into a container of any geometry. The particle shapes are acquired using X-ray microtomography (XMT). Lattice Boltzmann method (LBM) can then be used to predict fluid flow through the generated packing structure. It is demonstrated that the combination of the digital packing model DigiPac and LBM provides a powerful modelling capability for packed beds that is of value to the improved design of a wide range of unit operations. Through the use of XMT, the combination also gives higher-resolution results than, for example, the combination of magnetic resonance imaging and LBM previously reported.

AB - Predicting particle packing and flow through porous media has long been a problem for engineers of many disciplines. This paper describes a novel digitalisation approach, which is capable of predicting the way in which particles of any shape pack into a container of any geometry. The particle shapes are acquired using X-ray microtomography (XMT). Lattice Boltzmann method (LBM) can then be used to predict fluid flow through the generated packing structure. It is demonstrated that the combination of the digital packing model DigiPac and LBM provides a powerful modelling capability for packed beds that is of value to the improved design of a wide range of unit operations. Through the use of XMT, the combination also gives higher-resolution results than, for example, the combination of magnetic resonance imaging and LBM previously reported.

KW - Lattice Boltzmann method

KW - Particle packing

KW - X-ray tomography

UR - http://www.scopus.com/inward/record.url?scp=77949490293&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:77949490293

SN - 9780853163190

SP - 601

EP - 606

BT - 3rd World Congress on Industrial Process Tomography

PB - International Society for Industrial Process Tomography

T2 - 3rd World Congress on Industrial Process Tomography

Y2 - 2 September 2003 through 5 September 2003

ER -

Computational modelling of packed bed systems

Abstract

Conference

Keywords

ASJC Scopus subject areas

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