The dielectric properties of fibre reinforced epoxies under the influence of humidity

Karner, H.C.; Schütz, Andreas E.

doi:10.1109/icpadm.1994.414010

Cited by 7 publications

(5 citation statements)

References 1 publication

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“…For example, in [5], Karner investigates the effects of water absorption in epoxy resins on the permittivity of the material. Karner shows that, in general, the relative permittivity of the composite dielectric increases with water absorption.…”

Section: Introductionmentioning

confidence: 99%

The impact of moisture absorption on the electrical characteristics of organic dielectric materials

Curran

Ndip

Bauer

et al. 2011

2011 12th Intl. Conf. On Thermal, Mechanical &Amp; Multi-Physics Simulation and Experiments in Microelectronics and Microsystem

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Organic dielectric materials will absorb moisture when in direct contact with a liquid or a humid environment. The dielectric then becomes a two-phase dielectric composite with new dielectric characteristics. Using the Lichtenecker Equation, the composite dielectric permittivity and loss characteristics are modeled. The loss modeling includes the polymer dielectric loss characteristics, as well as the conductive loss of the moisture. The model is also used to predict the frequency dispersion of the relative permittivity at lower frequencies caused by the conductivity of the moisture. The modeling is validated using high frequency measurements of interdigital capacitors, which correspond to the modeling within 5% across the entire examined frequency range

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Section: Introductionmentioning

confidence: 99%

The impact of moisture absorption on the electrical characteristics of organic dielectric materials

Curran

Ndip

Bauer

et al. 2011

2011 12th Intl. Conf. On Thermal, Mechanical &Amp; Multi-Physics Simulation and Experiments in Microelectronics and Microsystem

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“…Kärner and Schütz [20] uses the Lichtenecker equation and theoretical absorption prediction, based on the Fick model, to predict the relative permittivity over time.…”

Section: Introductionmentioning

confidence: 99%

A Modeling Approach for Predicting the Effects of Dielectric Moisture Absorption on the Electrical Performance of Passive Structures

Curran¹,

Ndip²,

Engin³

et al. 2014

Journal of Microelectronics and Electronic Packaging

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AbstractÀIn this paper a modeling approach for predicting the electrical behavior of nonresonant and resonant structures under the influence of the absorption of moisture into the dielectric is presented. The paper focuses on the encapsulation materials used for printed circuit boards (PCBs) as a case study. For the investigated cases, analytical modeling shows that the loss of electrical insulation resulting from moisture absorption has minimal effects on the losses in transmission lines (TMLs), which would only cause system failure when combined with other aging effects. However, potential cases are discussed where the loss of electrical insulation could be significantly increased. Full-wave modeling shows that moisture absorption can cause the detuning of passive components, specifically antennas and impedance-controlled TMLs, that can have significant effects on system performance. Antenna resonance frequencies shift by up to 3-5%.

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“…Moreover, the effect of humidity and high rainfall can cause the erosion of the insulator surface, while the difference in partial pressure between the material, and the atmosphere/environment allows penetration of moisture into the insulation, as well as the amount of water absorbed and the speed of the diffusion process, depending on the material itself, humidity outside air and ambient temperature. This phenomenon, according to some researchers, is called the macroscopic interface polarization effect, which will exacerbate the dielectric and electrical properties of the insulator [3]. Besides was causing a decrease in surface properties that are visible with the disappearance of the hydrophobic nature, the occurrence of cracks (tracking), and severe erosion on the surface of the insulator and an increase in surface leakage currents, thereby shortening the life of the insulation.…”

Section: Introductionmentioning

confidence: 99%

Investigation of High-Voltage Insulator Surface Conditions based on Machine Learning TensorFlow

Manjang

2020

Intek

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The insulator plays an essential role in preventing the flow of current from the phase conductor to the earth through supporting towers so that the insulation is a significant part of the electrical energy transmission system. Generally, high-voltage insulators are widely used as external plug insulators, for that the performance of insulators is influenced by environmental conditions that indirectly affect the surface condition of the insulators. In this study, a diagnostic tool used in the testing surface of the insulator, which can classify mechanically whether the insulator is good or damaged. The classification method uses TensorFlow Machine learning. Machine Learning is used as a brain in the isolation classification process while TensorFlow functions to store training data and test data in the classification process. The results obtained from this study show the accuracy of classification data is 98%.

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The dielectric properties of fibre reinforced epoxies under the influence of humidity

Cited by 7 publications

References 1 publication

The impact of moisture absorption on the electrical characteristics of organic dielectric materials

The impact of moisture absorption on the electrical characteristics of organic dielectric materials

A Modeling Approach for Predicting the Effects of Dielectric Moisture Absorption on the Electrical Performance of Passive Structures

Investigation of High-Voltage Insulator Surface Conditions based on Machine Learning TensorFlow

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