Journal article
Modelling structural deformations in a roasting coffee bean
- Abstract:
- Macroscale deformations in a roasting coffee bean are important mechanisms in determining flavour development, moisture loss, and consistency of the bean. In this paper, we model the stresses and strains in the cellulose structure of a roasting coffee bean via temperature-dependent poroviscoelastic constitutive equations. This model accounts for the deformations that are created and controlled by the moisture content, temperature, and gas pressure inside of the roasting coffee bean. The model combines previously derived multiphase heat and mass transfer models for roasting coffee beans with these poroviscoelastic equations, to determine when and where macroscale deformations of the cellular matrix are likely to occur. By exploiting reasonable asymptotic reductions of the poroviscoelastic equations, we find that a large surge of stress is produced in the interior of a coffee bean. We determine that this build-up of stress is due to the viscoelastic interior of the bean being contained by a rigid elastic exterior and unable to expand. Our theoretical results suggest directions for possible improvement in standard industrial coffee roasting techniques, which may allow the macroscale deformations of the cellular matrix to be controlled and thereby improve properties such as flavour, moisture loss, and consistency of the final product.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
-
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(Preview, Accepted manuscript, pdf, 445.6KB, Terms of use)
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- Publisher copy:
- 10.1016/j.ijnonlinmec.2018.12.006
Authors
- Publisher:
- Elsevier
- Journal:
- International Journal of Non-Linear Mechanics More from this journal
- Volume:
- 110
- Pages:
- 123-130
- Publication date:
- 2018-12-19
- Acceptance date:
- 2018-12-15
- DOI:
- EISSN:
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1878-5638
- ISSN:
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0020-7462
- Keywords:
- Pubs id:
-
pubs:959261
- UUID:
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uuid:25eb9401-15cd-4b94-a807-0d7dc60f9226
- Local pid:
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pubs:959261
- Source identifiers:
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959261
- Deposit date:
-
2019-03-22
- ARK identifier:
Terms of use
- Copyright holder:
- Elsevier Ltd
- Copyright date:
- 2018
- Notes:
- © 2018 Elsevier Ltd. All rights reserved. This is the accepted manuscript version of the article. The final version is available online from Elsevier at: https://doi.org/10.1016/j.ijnonlinmec.2018.12.006
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