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Quantitative modeling of threadlike micellar solution rheology

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Abstract

A mesoscopic simulation method, the “pointer algorithm,” is here shown to capture accurately the rheology of a variety of surfactant solutions, including CTAB/NaNO3, CPyCl/NaSal, and CTAB/NaSal, at different salt and surfactant concentrations presented in the literature. In addition, correlations derived from this method are shown to allow the average micelle length \(\langle L\rangle\) to be estimated from \(\frac{{G}_{\mathrm{min}}^{\mathrm{^{\prime}}}}{{G}_{\mathrm{min}}^{^{\prime\prime} }}=0.317{\left(\frac{\langle L\rangle }{{l}_{\mathrm{e}}}\right)}^{0.82}\) where \({G}_{\mathrm{min}}^{\mathrm{^{\prime}}}\)/\({G}_{\mathrm{min}}^{^{\prime\prime} }\) is the ratio of storage to loss modulus at the frequency where G″ exhibits a local minimum, and \({l}_{\mathrm{e}}\) is the entanglement length, which can be estimated from the modulus. We also obtain from the pointer algorithm a formula whereby the micelle breakage time (τbr) can be estimated from the longest relaxation time (\({\tau }_{\mathrm{R}}\)). The pointer algorithm’s predictions are also shown to match those of a more microscopic slip-spring model, which had been previously validated by comparison to polymer rheological data. Thus, the work provides both a method and example estimates of these parameters as functions of surfactant and salt concentration, filling a major gap in characterization of these solutions. Finally, we investigate the determination of the micelle persistence length from high-frequency data.

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taken from Kalur and Raghavan (2005)

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Acknowledgements

The authors thank Takeshi Sato for providing the slip-spring simulations at Z = 9 used for comparison with the pointer algorithm.

Funding

Funding was provided by Procter and Gamble, as well as the National Science Foundation (NSF) under grant CBET-1907517. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of NSF.

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Correspondence to Ronald G. Larson.

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Tan, G., Larson, R.G. Quantitative modeling of threadlike micellar solution rheology. Rheol Acta 61, 443–457 (2022). https://doi.org/10.1007/s00397-022-01341-4

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  • DOI: https://doi.org/10.1007/s00397-022-01341-4

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