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April 3, 2026Royal Society Open Science1 citationsOpen Access

A model for the permeability of coffee pucks validated using X-ray computed micro-tomography

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FWFabian B. WadsworthJVJérémie VasseurJZJingwei Zhang

Key Points

  • The research aims to develop a model for predicting the permeability of ground coffee beds essential for espresso extraction.
  • Developed a theoretical framework for permeability based on pore volume fraction and surface area.
  • Conducted lattice-Boltzmann simulations of fluid flow through 3D structures of ground coffee.
  • Utilized X-ray computed micro-tomography to analyze two different roasted coffees.
  • Tested various grind settings from fine to coarse to evaluate model predictions.
  • Achieved excellent agreement between theoretical predictions and experimental data.
  • Demonstrated a relationship between grind size, packing fraction, and coffee permeability.
  • Introduced a Forchheimer number to help predict the onset of inertial flow in coffee.

Abstract

Abstract Tuning the permeability of beds of ground coffee is central to making good espresso. Here, we develop a theoretical framework for such a permeability model, which depends principally on the pore volume fraction that is connected between the grains ϕp and the specific surface area of the interfaces between liquid and coffee grains, s. We test our theoretical predictions by using lattice-Boltzmann simulations of fluid flow through three-dimensional domains obtained via X-ray computed micro-tomography (XCT) of real packed ground coffee. Our tomography is performed on two different roasted coffees (‘Tumba’ from Rwanda and ‘Guayacán’ from Colombia) ground to one of 11 grind settings using a Mahlkönig grinder, ranging from very fine to coarse grinds. We find excellent agreement with our percolation theory, suggesting a practical way to relate grind size and packing fraction to the specific surface area to predict coffee permeability. We discuss this model in the context of optimal espresso recipe design and the effects of coffee dose to define a Forchheimer number that can be used to predict the onset of inertial flow in coffee.

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Cite This Study

Wadsworth et al. (2026) studied this question.

synapsesocial.com/papers/69cf5ebd5a333a821460d557https://doi.org/10.1098/rsos.252031
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