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This model for gelatin gels considers appropriately the interplay between the networks involving: (a) viscoelastic relaxation as a consequence of an imposed mechanical history, (b) average degree of physical cross-links in the partially generated permanent network acting in the short-term mechanical response.
Three sizes are available including a high-throughput model for gels up to 340 mm × 290 mm.
An earlier critique of the PEDRo model for gels, and some possible extensions, is provided by [ 21].
The model accounts for gel effect and glass effect in bulk free-radical polymerization.
The specific engineering problem to be solved here is to develop a model for how gel rheology and volume, interacting with loaded drug concentration, govern the transport of the microbicide drug tenofovir into the vaginal mucosa to its stromal layer.
A key factor in this limited commercial uptake is the lack of a predictive model for grout gelling which controls grout penetration: whilst data are available to underpin design of a grouting campaign in laboratory conditions, little research has been done to underpin applications in natural environments.
Analysis of variance (ANOVA) showed that the contribution of quadratic term to the model over the linear was significant for pH and L⁎ value, whereas linear model was significant for gel strength.
The model is validated against experimental observations for gel times of 32 766 min, the model accurately predicts the log gel time) with an average error of 4% which corresponds to an R2 value of 0.96.
It was demonstrated that an existing model for the prediction of gel bead diameter in a SMX static mixer is applicable for the new procedure described in this study.
We apply the model to polymer gel plates, for which a specific kinematic constraint and constitutive relations hold.
A gel effect model for the free radical polymerization of PMMA under nonisothermal conditions has been used to simulate the profiles of various system parameters, such as temperature, initiator concentration and conversion.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com