journal article·2018-12

Discharged energy density and efficiency of nanocomposites based on poly(vinylidene fluoride) and core-shell structured BaTiO3@Al2O3 nanoparticles

Shaohui Liu, Jiao Wang, Haoshan Hao, Limin Zhao, Jiwei Zhai

Ceramics International· Volume 44· Issue 18
Publisher page

Abstract

Abstract High discharged energy density and efficiency composites dielectric capacitors have gained world-wide attention. We apply a solution casting method to prepare films of PVDF nanocomposites containing sol-gel processed core-shell structured BaTiO 3 @Al 2 O 3 nanoparticles. Their interfacial polarization and discharged energy density performance were investigated. On the morphological characterizations, the core-shell nanoparticles based on TEM were found to have Al 2 O 3 with an average thickness of 6 nm, which acts as a shell layer coating on the surface of the BaTiO 3 -core. SEM results indicate that the core-shell nanoparticles created are dispersed uniformly in the PVDF matrix. Among the studied PVDF nanocomposites with different BaTiO 3 @Al 2 O 3 nanoparticle loadings, the nanocomposite with 5 vol% BaTiO 3 @Al 2 O 3 nanoparticles shows the highest discharged energy density of 6.1 J/cm 3 , which is 1.2 times higher than that of the nanocomposite with pure BaTiO 3 nanoparticles. For the 5 vol% of BaTiO 3 @Al 2 O 3 nanoparticles added, the resulting nanocomposite exhibits a high efficiency of 81.6% below 1000 kV/cm and is higher than 66.5% at 2800 kV/cm. The enhanced discharged energy density and efficiency could be attributed to the improvement of the Maxwell-Wagner-Sillars interfacial polarization at the dynamic interface between PVDF matrix and BaTiO 3 @Al 2 O 3 nanoparticles by which the difference of dielectric constant at the interface is reduced.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Dielectric materials and actuators · Advanced Sensor and Energy Harvesting Materials · Ferroelectric and Piezoelectric Materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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