Comparative Study on the Thermal-Aging Characteristics of Cellulose Insulation Polymer Immersed in New Three-Element Mixed Oil and Mineral Oil

Feng, Dawei; Hao, Jian; Liao, Ruijin; Chen, Xin; Cheng, Lin; Liu, Mengna

doi:10.3390/polym11081292

Cited by 34 publications

(17 citation statements)

References 26 publications

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“…After polymerization, they rearrange themselves with fibrils of high orders in them influencing characteristics like texture, density and other properties. 9 Studies on cellulose modification didn't start yesterday but rather in the 1880s. During Gunpowder warfare, cellulose nitrate was made accidentally by treating Cellulose with nitrate.…”

Section: Modification Of Cellulose and Applicationsmentioning

confidence: 99%

Cellulose Bio–ink on 3D Printing Applications

Ganpisetti¹,

Lalatsa²

2021

JYP

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Nanocellulose polymers have played a vital role in biomedical applications and the medical field as a whole and made possible with 3D bio-ink printing. This achievement has made it easy for skin grafting, organ transplants and cancer screening and treatment. The many available thermoplastics are being replaced with cellulose from wood, pulp and plants, some of the cellulose polymers covered in this paper are Nanocellulose (CNF), nanofibers (CNC), Bacterial cellulose and many more cellulose polymers as discussed in the preceding chapters. This review also details advancements in modifications that have been done in cellulose polymers to make them more and more effective in the medical field that each day is facing challenges. The introduction section, chapter one, brings out the core issues of the paper introducing bio-ink which is further discussed in detail in chapters two and three, information on cellulose, its sources and polymer can be obtained from both chapters one and two. The aims and objectives of this writing are to review the journey that 3D bio-ink printing of cellulose Polymers, particularly Nano polymers of CNC and CNF, have taken since their inception in Sweden. This paper blends with previous information and current findings, uses and discoveries on the 3D bio-ink printing of nanocellulose. It also endeavors to ascertain how 3D printing has influenced the application of 4D bioprinting in its advanced stages.

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Section: Modification Of Cellulose and Applicationsmentioning

confidence: 99%

Cellulose Bio–ink on 3D Printing Applications

Ganpisetti¹,

Lalatsa²

2021

JYP

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“…Power transformers perform a vital task of transforming electrical energy in power systems, and the condition evaluation of its internal oil/paper system has attracted wide attention [ 1 , 2 , 3 , 4 , 5 , 6 ]. In recent years, a prevailing method of moisture determination is the so-called frequency domain spectroscopy (FDS) [ 7 , 8 , 9 , 10 ] technique, which is also called dielectric frequency response (DFR) technique.…”

Section: Introductionmentioning

confidence: 99%

Moisture Prediction of Transformer Oil-Immersed Polymer Insulation by Applying a Support Vector Machine Combined with a Genetic Algorithm

Zhang

Fan

et al. 2020

Polymers

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The support vector machine (SVM) combined with the genetic algorithm (GA) has been utilized for the fault diagnosis of transformers since its high accuracy. In addition to the fault diagnosis, the condition assessment of transformer oil-immersed insulation conveys the crucial engineering significance as well. However, the approaches for getting GA-SVM used to the moisture prediction of oil-immersed insulation have been rarely reported. In view of this issue, this paper pioneers the application of GA-SVM and frequency domain spectroscopy (FDS) to realize the moisture prediction of transformer oil-immersed insulation. In the present work, a method of constructing a GA-SVM multi-classifier for moisture diagnosis based on the fitting analysis model is firstly reported. Then, the feasibility and reliability of the reported method are proved by employing the laboratory and field test experiments. The experimental results indicate that the reported prediction model might be serviced as a potential tool for the moisture prediction of transformer oil-immersed polymer insulation.

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“…The aging process of insulating paper is the process of breaking the macromolecular chain of cellulose, causing a decrease in the degree of polymerization (DP) of insulating paper [4]. The DP is an index to measure the size of a polymer molecule based on the number of repeating units, and is the average number of repeating units contained on the polymer macromolecular chain [5]. By directly measuring the DP of the insulating paper, the aging information can be clearly obtained [6,7].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Ethanol Detection by Automatic Headspace Method for Cellulose Insulation Aging of Oil-immersed Transformers

Zheng

Zhang

et al. 2020

Polymers

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The method using ethanol to evaluate the cellulose insulation aging condition of oil-immersed transformers has been proposed. At present, the dominating method for detecting ethanol in insulating oil is to use headspace–gas-chromatography–mass-spectrometry (HS-GC-MS). However, the problem of quantitative inaccuracy will be sometimes encountered in the actual detection process due to improper instrument parameter setting and improper manual operation. In this study, as an aging marker, ethanol in transformer insulating oil was separated by using VF-624 ms capillary column. The effects of gas-chromatography–mass-spectrometry (GC-MS) optimization conditions, headspace equilibrium temperature, headspace equilibrium time and standard solution preparation method on the determination of ethanol content in oil were discussed, and optimized measures were proposed. The experimental results showed that the measurement can be more accurate under the headspace temperature of 80 °C and the headspace time of 40 min, and relative standard deviation percentage (RSD%) could reach to 4.62% under this condition. It was also pointed out that, for the preparation of standard solution, the method which controlled the sampling volume of anhydrous ethanol by microliter syringe could make the peak area of ethanol chromatogram have a better linear relationship with the standard curve. Under the similar linear range, the goodness of fitting curve without diluting process could be as high as 0.9993, while the method of preparing the stock solution and diluting stepwise to obtain the fitting curve only had a goodness of 0.9910. The method was validated by standard addition recovery test, and the recovery values obtained were between 90.3% and 95.8%. The optimized method is of great significance for the measurement of ethanol dissolved in insulating oil.

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Comparative Study on the Thermal-Aging Characteristics of Cellulose Insulation Polymer Immersed in New Three-Element Mixed Oil and Mineral Oil

Cited by 34 publications

References 26 publications

Cellulose Bio–ink on 3D Printing Applications

Cellulose Bio–ink on 3D Printing Applications

Moisture Prediction of Transformer Oil-Immersed Polymer Insulation by Applying a Support Vector Machine Combined with a Genetic Algorithm

Optimization of Ethanol Detection by Automatic Headspace Method for Cellulose Insulation Aging of Oil-immersed Transformers

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