2017
DOI: 10.3390/nano7090254
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An Optimum Specimen Geometry for Equibiaxial Experimental Tests of Reinforced Magnetorheological Elastomers with Iron Micro- and Nanoparticles

Abstract: The aim of this paper focused on obtaining the optimum cruciform geometry of reinforced magnetorheological elastomers (MRE) to perform homogeneous equibiaxial deformation tests, by using optimization algorithms and Finite Element Method (FEM) simulations. To validate the proposed specimen geometry, a digital image correlation (DIC) system was used to compare experimental result measurements with respect to those of FEM simulations. Moreover, and based on the optimum cruciform geometry, specimens produced from … Show more

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Cited by 13 publications
(16 citation statements)
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“…The strain field values on the sample surface were measured using a digital image correlation (DIC) system, Aramis V8. The measurements were performed at room temperature using a cruciform sample geometry [14]. The corresponding experimental tests were carried out by considering three loading and unloading cycles with specified displacement of 1, 2, and 3 mm.…”
Section: Uniaxial and Biaxial Tensile Testsmentioning
confidence: 99%
“…The strain field values on the sample surface were measured using a digital image correlation (DIC) system, Aramis V8. The measurements were performed at room temperature using a cruciform sample geometry [14]. The corresponding experimental tests were carried out by considering three loading and unloading cycles with specified displacement of 1, 2, and 3 mm.…”
Section: Uniaxial and Biaxial Tensile Testsmentioning
confidence: 99%
“…This can be performed either by finite element simulations, where a constitutive model has to be assumed, or by experimental testing (or a combination of both). Shape optimization using finite elements might either be done by trial and error contour definitions, or by applying numerical tools from optimization …”
Section: Specimen's Shapementioning
confidence: 99%
“…Shape optimization using finite elements might either be done by trial and error contour definitions, [27,30,34] or by applying numerical tools from optimization. [20,36,37] Since we are interested in talking about homogeneity of the strain distribution in a certain region, we have to introduce a measure. Thus, we define the region length L 0 , which is clear for the specimens in Figures 2A and 4A; thinnest region in the center of the specimen, and determine the mean value within the central region of L m = 0.2L 0 using the data of the DIC system.…”
Section: Homogeneity In the Central Regionmentioning
confidence: 99%
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