Study on EPDM/Boron Mud Composites

Li, Dong Han; Li, Zong Lin; Li, Zhao

doi:10.4028/www.scientific.net/amm.320.358

Cited by 1 publication

(1 citation statement)

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“…Boron has versatile applications depending on its unique properties. Although there are examples of boron containing polymer composites, to the best of our knowledge there have been meager researches on this boron industrial solid waste reinforced polymer composites [34,35]. In this study, the dispersive component of the surface energies of the composites and the components which move the tips of adhesion are determined by IGC.…”

Section: Morphologic Analysismentioning

confidence: 98%

Evaluation of boron industrial solid waste in composite materials

Yazıcı

Çetinkaya

2017

Composite Interfaces

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Boron industrial solid waste is used as reinforcement for preparing composite materials. This waste has boron trioxide which holds unique properties may affect the surface or interface of the composite. The prepared composites are characterized in order to determine the dispersion and the structure by means of inverse gas chromatography (IGC), Fourier transform infrared spectroscopy, thermal gravimetric analysis, scanning electron microscopy (SEM) and X-ray diffraction (XRD). There is a strong relation between the dispersion of reinforcement and the properties of newly formed composite. The dispersive component of the surface energies of the composites and components are determined by IGC. This parameter is difficult to measure by other methods and it is related to the wettability and adhesive characters of solid materials. The effect of compounding ratios of reinforcement is also examined. Furthermore, XRD diffractograms and SEM images of composites showed well dispersion. Thermal analysis revealed that the addition of the boron industrial solid waste to the polymer increased the thermal stability of pure polymer. Infrared spectra of the composites indicated that the composites were formed from the waste reinforcement and the polymer matrix.

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Section: Morphologic Analysismentioning

confidence: 98%