4.2 Article

Assessment of the influence of electric arc furnace slag as a non-conventional filler for Nitrile Butadiene Rubber

Journal

RESULTS IN ENGINEERING
Volume 17, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.rineng.2023.100987

Keywords

Electric arc furnace slag; Mechanical characterization; Dynamic mechanical characterization; Payne effect; Crosslink density

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The reinforcement of polymers using particle fillers is a complex process influenced by the hydrodynamic effect and interfacial interactions between the polymer, filler, and interfacial region. In this study, the potential of using electric arc furnace steel slag as a filler for Nitrile-Butadiene Rubber was investigated. The slag content was found to enhance the material's capability to store and dissipate energy, with the immobilized rubber fraction around the slag particles playing a crucial role. The slag stiffened the NBR composite, and its reinforcing ability was confirmed through various models and analyses.
Reinforcement of polymers by the addition of particles filler is a complex phenomenon that depends mainly on the hydrodynamic effect and a complex interplay between polymer, filler, and interfacial region. Mineral fillers are usually adopted as low-cost extenders due to their lower cost.In this study, the influence of a waste material such as electric arc furnace steel slag is assessed as filler for Nitrile-Butadiene Rubber following experimental procedures and analytical calculations adopted for traditional fillers. It was found that the slag content affects the static and the dynamic properties by increasing the material's capability to storage and dissipate energy. In addition to an important contribution of the hydrodynamic effect, the presence of an increasing immobilized rubber fraction around the slag particles (quantified by a differential scanning calorimetry analysis) plays a central role. The slag stiffens the NBR composite; the increase of static tensile and dynamic shear storage moduli was found to be consistent with the Halpin-Tsai and Guth-Gold pre-vision models respectively. Moreover, the non-linear dynamic behavior was found to be well-fitted by the Kraus equation models. The reinforcing ability of the slag particles as filler was confirmed by the negative slope of the Kraus plot on swelling data.

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