Towards realistic characterisation of chemical reactors: An in-depth analysis of catalytic particle beds produced by sieving
Towards realistic characterisation of chemical reactors: An in-depth analysis of catalytic particle beds produced by sieving
Optimization of large-scale fixed particle bed catalytic reactors requires extensive insight into the multi-scale bed structure, even down to the micrometre scale. Theoretical studies of chemical reactors provide a time- and cost-effective means to supporting the optimisation process. However, they rely on simplified assumptions for the particles, e.g. homogeneous perfect spheres. In practise, the preparation of catalytic particles cannot attain this level of uniformity. Typical preparation techniques, such as sieving, are conducted with the aim of obtaining particle size distributions within a pre-defined range, governed by the sizes of the sieves. However, such methods offer limited control in the actual particle sizes and shapes. This paper evaluates the impact of sieving on the resulting particles and overall structural morphology of catalytic beds. The bed structure is quantified using micro-focus computed tomography (μ-CT), enabling the non-destructive examination and analysis of over 150 thousand particles, in terms of particle size, shape, uniformity, and interparticle porosity. Furthermore, the chemical performance of the resulting beds is compared. The detailed characterisation achieved paves the way for the evolution of more rigorous computational models coupling intricate, localised hydrodynamics with realistic chemical processes. Validation of such models at the lab-scale will accelerate the development of more accurate large-scale models.
Catalytic particles, Fixed bed, Particle analysis, Porosity, Sieving, micro-CT
Kyrimis, Stylianos
c58fb1be-3a2a-4231-bf5e-b49f1439cd4a
Rankin, Kathryn E.
d9516566-0ad8-473d-b99b-4683c663a2b7
Potter, Matthew
34dee7dc-2f62-4022-bb65-fc7b7fb526d2
Raja, Robert
74faf442-38a6-4ac1-84f9-b3c039cb392b
Armstrong, Lindsay-Marie
db493663-2457-4f84-9646-15538c653998
February 2023
Kyrimis, Stylianos
c58fb1be-3a2a-4231-bf5e-b49f1439cd4a
Rankin, Kathryn E.
d9516566-0ad8-473d-b99b-4683c663a2b7
Potter, Matthew
34dee7dc-2f62-4022-bb65-fc7b7fb526d2
Raja, Robert
74faf442-38a6-4ac1-84f9-b3c039cb392b
Armstrong, Lindsay-Marie
db493663-2457-4f84-9646-15538c653998
Kyrimis, Stylianos, Rankin, Kathryn E., Potter, Matthew, Raja, Robert and Armstrong, Lindsay-Marie
(2023)
Towards realistic characterisation of chemical reactors: An in-depth analysis of catalytic particle beds produced by sieving.
Advanced Powder Technology, 34 (2), [103932].
(doi:10.1016/j.apt.2022.103932).
Abstract
Optimization of large-scale fixed particle bed catalytic reactors requires extensive insight into the multi-scale bed structure, even down to the micrometre scale. Theoretical studies of chemical reactors provide a time- and cost-effective means to supporting the optimisation process. However, they rely on simplified assumptions for the particles, e.g. homogeneous perfect spheres. In practise, the preparation of catalytic particles cannot attain this level of uniformity. Typical preparation techniques, such as sieving, are conducted with the aim of obtaining particle size distributions within a pre-defined range, governed by the sizes of the sieves. However, such methods offer limited control in the actual particle sizes and shapes. This paper evaluates the impact of sieving on the resulting particles and overall structural morphology of catalytic beds. The bed structure is quantified using micro-focus computed tomography (μ-CT), enabling the non-destructive examination and analysis of over 150 thousand particles, in terms of particle size, shape, uniformity, and interparticle porosity. Furthermore, the chemical performance of the resulting beds is compared. The detailed characterisation achieved paves the way for the evolution of more rigorous computational models coupling intricate, localised hydrodynamics with realistic chemical processes. Validation of such models at the lab-scale will accelerate the development of more accurate large-scale models.
Text
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More information
Accepted/In Press date: 22 December 2022
e-pub ahead of print date: 3 January 2023
Published date: February 2023
Additional Information:
Funding Information:
The authors would like to thank the Southampton Marine & Maritime Institute for their funding. In addition, the authors would like to thank Dr. David Chatelet for the fruitful discussions on Fiji and Avizo.
Publisher Copyright:
© 2022 The Society of Powder Technology Japan
Keywords:
Catalytic particles, Fixed bed, Particle analysis, Porosity, Sieving, micro-CT
Identifiers
Local EPrints ID: 474094
URI: http://eprints.soton.ac.uk/id/eprint/474094
ISSN: 0921-8831
PURE UUID: b734e38f-951a-46ea-a800-cdff656df4f4
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Date deposited: 13 Feb 2023 17:57
Last modified: 06 Jun 2024 01:50
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Author:
Stylianos Kyrimis
Author:
Kathryn E. Rankin
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