2020
DOI: 10.1590/0104-1428.10719
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Synergistic improvement of mechanical and magnetic properties of a new magnetorheological elastomer composites based on natural rubber and powdered waste natural rubber glove

Abstract: Recycling of rubber waste and finding the effective methods to extend its use are one of major challenges nowadays. In the present study, waste natural rubber glove (wNRg) was used in an attempt to extend its use and create a value-added composite based on natural rubber (NR) and wNRg. Another interesting focus was to develop such material into a new Magnetorheological Elastomer (MRE). This MRE can be prepared by incorporating Ferromagnetic particles namely carbonyl iron (CI) to the rubber composite. Carbon bl… Show more

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Cited by 2 publications
(2 citation statements)
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“…For identification of magnetic constants, the theoretical prediction (equation ( 11)) calibrates with the experimental results (i.e., uniaxial compression in loading phase) by using nonlinear least square error methods, and then the magnetic constants are achieved. In the following, benefiting from the fixed-values assumption for the previously determined coefficients, the viscoelastic constants (Prony parameters) are obtained for equation (12). These constants are achieved by calibrating the parameters of the theoretical model against the experimental results, utilizing the particle swarm optimization (PSO) algorithm and nonlinear least square error method.…”
Section: Determination Of Materials Constantsmentioning
confidence: 99%
See 1 more Smart Citation
“…For identification of magnetic constants, the theoretical prediction (equation ( 11)) calibrates with the experimental results (i.e., uniaxial compression in loading phase) by using nonlinear least square error methods, and then the magnetic constants are achieved. In the following, benefiting from the fixed-values assumption for the previously determined coefficients, the viscoelastic constants (Prony parameters) are obtained for equation (12). These constants are achieved by calibrating the parameters of the theoretical model against the experimental results, utilizing the particle swarm optimization (PSO) algorithm and nonlinear least square error method.…”
Section: Determination Of Materials Constantsmentioning
confidence: 99%
“…Their study showed that CI particles are more compatible with the EPDM rubber matrix than BI particles, based on mechanical and MR properties. Nabil and Hanafi 12 fabricated a new MRE based on natural rubber and powdered waste natural rubber gloves in association with a combination of CI and CB. Their results showed that these new value-added rubber composites present improvement of magnetic and mechanical properties with higher magnetic strength, superior tensile strength, modulus, and elongation at break.…”
Section: Introductionmentioning
confidence: 99%