2021
DOI: 10.1016/j.jmbbm.2021.104804
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Analytical model for the prediction of permeability of triply periodic minimal surfaces

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Cited by 62 publications
(26 citation statements)
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“…It is well-known from literature that a certain matrix stiffness encourages stem mesenchyme cells to differentiate into a particular lineage. For mesenchymal, neuropathic, myogenic, and osteogenic development, the ideal stiffness ranges are 10-50 Pa, 0.11-1 kPa, 7-17 kPa, and 25-40 kPa, respectively [27].…”
Section: Proposed Methodsmentioning
confidence: 99%
“…It is well-known from literature that a certain matrix stiffness encourages stem mesenchyme cells to differentiate into a particular lineage. For mesenchymal, neuropathic, myogenic, and osteogenic development, the ideal stiffness ranges are 10-50 Pa, 0.11-1 kPa, 7-17 kPa, and 25-40 kPa, respectively [27].…”
Section: Proposed Methodsmentioning
confidence: 99%
“…We use the Kozeny–Carman equation in some examples due to its widespread familiarity, but not as an endorsement of its universal accuracy. For a lattice, the permeability can be expected to have a weaker dependence on porosity at midrange porosities, and a quadratic dependence on the lattice parameter 7,41 . If an analyte binds only to the outer surface of the solid and cannot diffuse into it, a different version of Equation () would apply.…”
Section: Mathematical Model Formulationmentioning
confidence: 99%
“…For an additively manufactured lattice, tuning of unit cell size and pore volume fraction allows design of permeabilities over a theoretically wide range. [7][8][9][10][11] Additive manufacturing of polymer lattices by extrusion or photocuring allows for creation of lattices with designed flow characteristics, such as creating a desired pressure drop, 12 creating graded porosity 13 that could aid fluid distribution, or tailoring wetting properties that define flow channels. 14,15 When polymer properties do not suffice, it is possible to directly fabricate metal lattices 16 or use polymer lattices to template metal lattices.…”
mentioning
confidence: 99%
“…Ali et al [ 29 ] investigated the fluid flow within the scaffolds using computational fluid dynamic (CFD) analysis, and the results show that the permeability of the scaffolds was governed by their architecture and any changes in the size of channels would reduce permeability. Asbai-Ghoudan et al [ 30 ] used CFD to calculate permeability for three TPMS-based scaffolds and the results show that permeability increased with porosity at different rates, highlighting the importance of pore distribution and architecture. Ma et al [ 14 ] indicated that the roughness of the scaffolds’ surfaces can influence transmission performance, especially for the scaffolds with small pore sizes.…”
Section: Introductionmentioning
confidence: 99%