2009
DOI: 10.1115/1.3130825
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The Dynamic Compressive Response of an Open-Cell Foam Impregnated With a Non-Newtonian Fluid

Abstract: The response of a reticulated, elastomeric foam filled with colloidal silica under dynamic compression is studied. Under compression beyond local strain rates on the order of 1 s−1, the non-Newtonian, colloidal silica-based fluid undergoes dramatic shear thickening and then proceeds to shear thinning. In this regime, the viscosity of the fluid is large enough that the contribution of the foam and the fluid-structure interaction to the stress response of the fluid-filled foam can be neglected. An analytically t… Show more

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Cited by 48 publications
(20 citation statements)
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“…In contrast, for shear thickening fluids, in spite of the large body of literature devoted to microscopic models based on the Smoluchowski formalism [23][24][25], it is of common use to resort to the power-law model [26,27], given by Eq. (2)…”
Section: The Proposed Viscosity Functionmentioning
confidence: 95%
“…In contrast, for shear thickening fluids, in spite of the large body of literature devoted to microscopic models based on the Smoluchowski formalism [23][24][25], it is of common use to resort to the power-law model [26,27], given by Eq. (2)…”
Section: The Proposed Viscosity Functionmentioning
confidence: 95%
“…Applications proposed towards these properties are integration in dampers [17,18], in structures such as skis to tailor both their damping and stiffness properties [11,19] and in personal protective equipment [20,21]. Flexible ballistic vests known as "liquid armour" [22][23][24] composed of Kevlar fabrics impregnated with STF have thus been proposed, as well as foam-impregnated STF pads for impact absorption [20,21].…”
Section: Introductionmentioning
confidence: 99%
“…This behavior has been exploited in a number of smart material applications, including STFcontaining foams, beams, and dashpots [12][13][14][15]. More recently, STFs have been used to create flexible straps with rate-dependent properties [16,17].…”
Section: Introductionmentioning
confidence: 97%