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A new methodology to estimate the steady-state permeability of roast and ground coffee in packed beds

•A methodology to estimate permeability of coffee packed beds was developed.•The relation between permeability and particle size was dependent on bed bulk density.•Bed bulk porosity was assessed with a combination of porosimetry and pycnometry.•Conventional Kozeny–Carman equation over-predicted expe...

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Bibliographic Details
Published in:Journal of food engineering 2015-04, Vol.150, p.106-116
Main Authors: Corrochano, B.R., Melrose, J.R., Bentley, A.C., Fryer, P.J., Bakalis, S.
Format: Article
Language:English
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Summary:•A methodology to estimate permeability of coffee packed beds was developed.•The relation between permeability and particle size was dependent on bed bulk density.•Bed bulk porosity was assessed with a combination of porosimetry and pycnometry.•Conventional Kozeny–Carman equation over-predicted experimental results.•Bed consolidation had a larger effect than a mere decrease in bed porosity. In an espresso-style extraction hot water (90±5°C) is driven through a coffee packed bed by a pressure gradient to extract soluble material from the coffee matrix. Permeability is a key parameter affecting extraction as it determines the flow rate through the bed and hence brewing and residence time. This may alter bed-to-cup mass transfer and therefore impact brew quality. In this work a methodology that will allow estimation of the permeability of coffee packed beds in steady-state was developed. Fitting measured flow rate – pressure drop data to Darcy’s law resulted in permeability values in the range of 10−13–10−14m2. Disagreement between the experimental and theoretical permeability, as estimated from dry measurements of particle size distribution and Kozeny–Carman equation, was found. Bed consolidation may have a larger effect on the packing structure than the mere decrease in bed bulk porosity. The Kozeny–Carman equation, corrected with a porosity-dependent tortuosity according to a power law, gave a good fit of the data.
ISSN:0260-8774
1873-5770
DOI:10.1016/j.jfoodeng.2014.11.006