scholarly journals Effect of Alumina and Halloysite clay on Electrical tree growth in Silicone Rubber Nanocomposite

2018 ◽  
Vol 2 (3) ◽  
pp. 20-25
Author(s):  

Nowadays Silicone Rubber (SiR) is recommended in high voltage cable accessories fabrication as it offers excellent electrical and mechanical properties. Electrical tree is one of the phenomenon which contributes to the main factor of SiR insulation breakdown. Recently, a new approach has been applied in order to enhance the insulation strength properties by introducing nano filler in undoped material. Thus, this paper presents the influence of nano-alumina and halloysite nanoclay on electrical tree growth in SiR at 0, 1 vol%, 2 vol% and 3 vol% concentration. The electrical tree growth was investigated at 8kVrms after tree inception voltage (TIV) within 30 minutes under room temperature. The results show reductions of electrical tree growth speed and accumulate damage (%) up to 2 vol% nano-alumina and up to 3 vol% halloysite nanoclay. Nevertheless the presence of 3 vol% nano-alumina in SiR leads to the faster electrical tree growth rate and the worst accumulate damage within 1 minute of electrical tree growth process.

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 24452-24462 ◽  
Author(s):  
M. Hafiz ◽  
M. Fairus ◽  
M. Mariatti ◽  
M. Kamarol

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Mohd Hafizi Ahmad ◽  
Nouruddeen Bashir ◽  
Zolkafle Buntat ◽  
Yanuar Z. Arief ◽  
Abdul Azim Abd Jamil ◽  
...  

This study investigated electrical treeing and its associated phase-resolved partial discharge (PD) activities in room-temperature, vulcanized silicone rubber/organomontmorillonite nanocomposite sample materials over a range of temperatures in order to assess the effect of temperature on different filler concentrations under AC voltage. The samples were prepared with three levels of nanofiller content: 0% by weight (wt), 1% by wt, and 3% by wt. The electrical treeing and PD activities of these samples were investigated at temperatures of 20°C, 40°C, and 60°C. The results show that the characteristics of the electrical tree changed with increasing temperature. The tree inception times decreased at 20°C due to space charge dynamics, and the tree growth time increased at 40°C due to the increase in the number of cross-link network structures caused by the vulcanization process. At 60°C, more enhanced and reinforced properties of the silicone rubber-based nanocomposite samples occurred. This led to an increase in electrical tree inception time and electrical tree growth time. However, the PD characteristics, particularly the mean phase angle of occurrence of the positive and negative discharge distributions, were insensitive to variations in temperature. This reflects an enhanced stability in the nanocomposite electrical properties compared with the base polymer.


2013 ◽  
Vol 845 ◽  
pp. 482-486 ◽  
Author(s):  
A.A.Abd. Jamil ◽  
Mohd Hafizi Bin Ahmad ◽  
M. Kamarol ◽  
M. Mariatti ◽  
M.A.M. Piah

This paper presents experimental study on short-term breakdown of silicone rubber based nanocomposites with different silicone dioxide (SiO2) nanofiller loading by focusing on the effect of electrical tree. The objective of this study was to investigate the ability of SiO2 nanofiller to inhibit the growth of electrical tree in silicone rubber until breakdown. Samples of silicone rubber based nanocomposites (three samples were filled with 1wt%, 2wt% and 3wt% of SiO2 respectively whereas the forth sample was unfilled silicone rubber), were used in this experimental study and two parameters such as electrical tree initiation voltage and breakdown time were measured. Based on the obtained results, the sample with the highest SiO2 loading has shown the highest tree initiation voltage and the longest breakdown time. Therefore, this makes SiO2 a promising material to be used as fillers in polymeric insulations for the purpose of retarding electrical tree growth.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 54009-54018
Author(s):  
Boxue Du ◽  
Tingting Ma ◽  
Jingang Su ◽  
Meng Tian ◽  
Tao Han ◽  
...  

2013 ◽  
Vol 64 (4) ◽  
Author(s):  
A. A. A. Jamil ◽  
M. H. Ahmad ◽  
Y. Z. Arief ◽  
M. Kamarol ◽  
M. Mariatti ◽  
...  

This paper presents the results of the study on the electrical tree growth of organo-montmorillonite (OMMT) nanofillers in silicone rubber under ac ramp voltage of 0.5 kV per second. This study investigates the ability of OMMT to retard the growth of electrical tree in silicone rubber. Samples of silicone rubber nanocomposites (two filled with 1% and 3% OMMT respectfully while the third is unfilled silicone rubber), were used in this experimental study and the growth rate of the electrical tree and its length were observed in both samples. .The result of this study has revealed that in the filled nanocomposite sample, the OMMT acts as barrier which slows down the growth rate of electrical tree. This makes OMMT a potential material to use as fillers in polymeric insulations for the purpose of retarding electrical tree growth.


Author(s):  
A. H. M. Nasib ◽  
M. H. Ahmad ◽  
Z. Nawawi ◽  
M. A. B. Sidik ◽  
M. I. Jambak

This article presents a study on electrical treeing performances with its associated partial discharge (PD) and the influence of filler concentration in silicone rubber (SiR) samples which are filled with silicon dioxide (SiO2) and silicon nitride (Si3N4) as nanofillers for electrical tree growth suppression. There are many researches on electrical treeing in SiR with SiO2 nanofillers but none of the publication have reported on Si3N4 nanofillers for suppression of the electrical tree growth. In this study, the treeing experiments were conducted by applying a fixed AC voltage of 10 kV and 12 kV at power frequency of 50 Hz on unfilled SiR, SiR/SiO2, and SiR/Si3N4 nanocomposites with different filler concentrations by 1, 3, and 5 weight percentage (wt%) and the electrical treeing parameters were observed with its correlated PD patterns. The outcome from this study found that the SiR/Si3N4 nanocomposites were able to withstand the electrical treeing better than the pure SiR or SiR/SiO2 nanocomposites. Furthermore, the increase in filler concentration improved the electrical tree performances of the nanocomposites. This finding suggests the Si3N4 can be used as filler in polymeric insulating materials for electrical tree inhibition. Meanwhile, the PD activity shows increment when the tree progresses thereby indicating correlation in both parameters which can be as key parameter for monitoring unseen electrical treeing in the opaque samples.


Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2562
Author(s):  
Abdullahi Abubakar Mas’ud ◽  
Arunachalam Sundaram ◽  
Jorge Alfredo Ardila-Rey ◽  
Roger Schurch ◽  
Firdaus Muhammad-Sukki ◽  
...  

In high-voltage (HV) insulation, electrical trees are an important degradation phenomenon strongly linked to partial discharge (PD) activity. Their initiation and development have attracted the attention of the research community and better understanding and characterization of the phenomenon are needed. They are very damaging and develop through the insulation material forming a discharge conduction path. Therefore, it is important to adequately measure and characterize tree growth before it can lead to complete failure of the system. In this paper, the Gaussian mixture model (GMM) has been applied to cluster and classify the different growth stages of electrical trees in epoxy resin insulation. First, tree growth experiments were conducted, and PD data captured from the initial to breakdown stage of the tree growth in epoxy resin insulation. Second, the GMM was applied to categorize the different electrical tree stages into clusters. The results show that PD dynamics vary with different stress voltages and tree growth stages. The electrical tree patterns with shorter breakdown times had identical clusters throughout the degradation stages. The breakdown time can be a key factor in determining the degradation levels of PD patterns emanating from trees in epoxy resin. This is important in order to determine the severity of electrical treeing degradation, and, therefore, to perform efficient asset management. The novelty of the work presented in this paper is that for the first time the GMM has been applied for electrical tree growth classification and the optimal values for the hyperparameters, i.e., the number of clusters and the appropriate covariance structure, have been determined for the different electrical tree clusters.


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