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Microscopic processes controlling the Herschel-Bulkley exponent.

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The flow curve of various yield stress materials is singular as the strain rate vanishes and can be characterized by the so-called Herschel-Bulkley exponent n=1/β. A mean-field approximation due to… Click to show full abstract

The flow curve of various yield stress materials is singular as the strain rate vanishes and can be characterized by the so-called Herschel-Bulkley exponent n=1/β. A mean-field approximation due to Hebraud and Lequeux (HL) assumes mechanical noise to be Gaussian and leads to β=2 in rather good agreement with observations. Here we prove that the improved mean-field model where the mechanical noise has fat tails instead leads to β=1 with logarithmic correction. This result supports that HL is not a suitable explanation for the value of β, which is instead significantly affected by finite-dimensional effects. From considerations on elastoplastic models and on the limitation of speed at which avalanches of plasticity can propagate, we argue that β=1+1/(d-d_{f}), where d_{f} is the fractal dimension of avalanches and d the spatial dimension. Measurements of d_{f} then supports that β≈2.1 and β≈1.7 in two and three dimensions, respectively. We discuss theoretical arguments leading to approximations of β in finite dimensions.

Keywords: processes controlling; microscopic processes; bulkley exponent; herschel bulkley

Journal Title: Physical Review E
Year Published: 2018

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