DC breakdown strength of polypropylene films: area dependence and statistical behavior

Laihonen, Sari; Gäfvert, U.; Schütte, Thorsten; Gedde, Ulf W.

doi:10.1109/tdei.2007.344604

Cited by 111 publications

(58 citation statements)

References 13 publications

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“…Therefore the simulation results in Fig. 1 is very close to the experimental results that the ␤-value increased from less than 10 to over 20 when the sample thickness is increased from 4 to 14 m. 6 Here, in the following calculation, we chose the network thickness to be 30 for simplicity. Figure 2 shows the simulated results in the cases of different sample areas when the trap barrier is assumed to be uniformly distributed in the range from 0 to 1 eV.…”

Section: A Effects Of Sample Size and Defect Distributionsupporting

confidence: 70%

“…In addition to these theoretical questions as to the applicability of the Weibull distribution to polymer breakdown, there are some experimental doubts as well, for example, it has been shown that the low field breakdowns measured with the large electrode deviated from the Weibull distribution. 5,6 Furthermore the area effect of breakdown also showed deviation from the Weibull distribution ͑see also Ref. 3 for theoretical considerations of the same effect͒.…”

Section: Introductionmentioning

confidence: 83%

“…However, these contradict with the experimental data of area dependence of breakdown. 5,6 The question of the applicability of the Weibull distribution to polymer breakdown is therefore still not resolved and models for the stochastic mechanism of breakdown are needed in order to study this question in more detail.…”

Section: ͑1͒mentioning

confidence: 99%

“…These agrees with the experimental results of other authors. 5,6 In practice, these large defects may be formed on the material surface or bulk due to thermal instability, mechanical vibration, or internal stress in the manufacture process. The effect of large defects can also explain the phenomena that the ␤-value tends to be smaller in actual thick samples although it increases with sample thickness in the case of thin films.…”

Section: A Effects Of Sample Size and Defect Distributionmentioning

confidence: 99%

“…The effect of large defects can also explain the phenomena that the ␤-value tends to be smaller in actual thick samples although it increases with sample thickness in the case of thin films. 6 In fact, although the usual sample for breakdown test is about 1 mm, the effective thickness to dominate breakdown may be much thinner than the sample thickness. Under dc voltage, because of the effect of space charge, the thickness of the layer with maximum field may be just about 1 m. Under ac or impulse voltage, after the initial electron avalanche driven by the higher field develops in a certain distance, a high density of space charge can be formed, leading to the local field in front of the breakdown path high enough to make the breakdown self-sustainable.…”

Section: A Effects Of Sample Size and Defect Distributionmentioning

confidence: 99%

See 4 more Smart Citations

Statistical behavior of electrical breakdown in insulating polymers

Wang

Cheng

et al. 2010

Journal of Applied Physics

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A simulation model to investigate the statistical property of electrical breakdown is presented based on the field-assisted percolation model for dielectric breakdown, by expressing the disorder in morphology as randomly distributed trap barriers. The effects of sample area and large defects on the statistical property of breakdown are also studied, and the statistical behavior of the lifetime is investigated by considering the stochastic development of deteriorated regions. In addition an equation describing the breakdown probability in homogeneous materials is derived from percolation theory, which we show fits well to the simulation data. The breakdown probability is expressed in terms of trap distribution, and thus provides a way to connect the disorder in polymer morphology with the stochastic nature of breakdown.

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Section: A Effects Of Sample Size and Defect Distributionsupporting

confidence: 70%

Section: Introductionmentioning

confidence: 83%

Section: ͑1͒mentioning

confidence: 99%

Section: A Effects Of Sample Size and Defect Distributionmentioning

confidence: 99%

Section: A Effects Of Sample Size and Defect Distributionmentioning

confidence: 99%

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Statistical behavior of electrical breakdown in insulating polymers

Wang

Cheng

et al. 2010

Journal of Applied Physics

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Effect of Inorganic Nanoparticles on Energy‐Storage Properties of P(VDF–HFP)‐Based Nanocomposites

Guo

Zhou

et al. 2023

Adv Eng Mater

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Polyvinylidene fluoride (PVDF) and its copolymers have been widely used in polymer‐based film capacitors due to their relatively high permittivity and electrical displacement compared with other polymers. Herein, poly(vinylidene fluoride‐hexafluoropropylene) (P(VDF–HFP)) is selected as the polymer matrix, and 0.5 (Bi0.5Na0.5)TiO3–0.5(Sr0.85Sm0.1)TiO3 (BNT–SST) nanoparticles are added as the filler into the polymer to prepare BNT–SST/P(VDF–HFP) nanocomposites. The microstructure, electrical properties, mechanical properties, and energy‐storage properties of the nanocomposites are investigated. The addition of BNT–SST nanoparticles improves the dielectric characteristics and breakdown strength of the nanocomposites. Particularly, when the BNT–SST filler content is 0.7 vol%, the highest breakdown strength reaches 545 MV m−1, which is 1.3 times higher than pure P(VDF–HFP). In addition, the insulation and mechanical properties of BNT–SST/P(VDF–HFP) composite films are improved. The highest direct current resistivity and Young's modulus obtained by 0.7 vol% BNT–SST/P(VDF–HFP) nanocomposites are 6.8 × 1013 Ω cm and 1.94 GPa, respectively. More importantly, at 545 MV m−1, the energy‐storage density and efficiency of 0.7 vol% BNT–SST/P(VDF–HFP) composites are 19.07 J cm−2 and 67.01%, respectively, which are better than other polymer matrix composites. These findings suggest that the addition of inorganic nanoparticles has important research implications for improving the energy‐storage performance of polymer‐based film capacitors.

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Dilute Nanocomposites: Tuning Polymer Chain Local Nanostructures to Enhance Dielectric Responses

Rui,

Bernholc,

Zhang

et al. 2024

Advanced Materials

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Dielectric polymers possessing high energy, power density and low losses over a broad temperature range are of great interest for many electronic and electric devices and systems. Nanocomposites in which high electric constant (high K) nanofillers at high volume loading (> 10 volume percent, 10 vol%) are admixed with polymer matrix have been investigated for many decades, aiming at enhancing the dielectric performance, but with limited success. In 2017, it was discovered that reducing nanofiller loading to less than 0.5 vol% in high‐temperature dielectric polymers can lead to marked enhancement in dielectric performance. Here, we review the discoveries and advances of this unconventional approach to enhance dielectric performance of polymers. The experimental studies uncovered that nanofillers can lead to polymer nanostructure changes over distances larger than 100 nm from nanofiller surfaces. Experimental and modeling results showed that introducing free‐volume locally in high temperature dielectric polymers can reduce the constraints of glass matrix on dipoles in polymers, leading to enhanced dielectric constant K without affecting dielectric breakdown. In addition, low‐K inorganic nanofillers at low‐volume loading can also serve as deep traps for mobile charges, lowering the conduction losses and increasing the breakdown strength. The dilute nanocomposites provide a new avenue for designing dielectric polymers with high dielectric constant, minimal conduction and dielectric losses, and robust breakdown fields, thus achieving high energy and power density and low loss for operation over a broad temperature regime. This article is protected by copyright. All rights reserved

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DC breakdown strength of polypropylene films: area dependence and statistical behavior

Cited by 111 publications

References 13 publications

Statistical behavior of electrical breakdown in insulating polymers

Statistical behavior of electrical breakdown in insulating polymers

Effect of Inorganic Nanoparticles on Energy‐Storage Properties of P(VDF–HFP)‐Based Nanocomposites

Dilute Nanocomposites: Tuning Polymer Chain Local Nanostructures to Enhance Dielectric Responses

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