Unusual effect of temperature on direct fluorination of high temperature vulcanized silicone rubber and properties of the fluorinated surface layers

An, Zhenlian; Shan, Fei; Yang, Long; Shen, Ruochen; Gu, Xiaoqiong; Zheng, Feihu; Zhang, Yewen

doi:10.1109/tdei.2018.006784

Cited by 18 publications

(6 citation statements)

References 35 publications

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“…Du et al investigated the effects of direct fluorination on the electrical properties of both outdoor and indoor insulators, and revealed that surface fluorination could reduce the accumulation of surface charges and improve the flashover voltage [13,14]. An et al obtained various types of temperature fluorinated silicone rubber, and found that there were two effects from the substitution reaction and fluorine diffusion during the fluorination process [15]. Most of the related research focuses on the fluorination-dependent surface charge of insulators.…”

Section: Introductionmentioning

confidence: 99%

Surface Layer Fluorination-Modulated Space Charge Behaviors in HVDC Cable Accessory

et al. 2018

Polymers

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Space charges tend to accumulate on the surface and at the interface of ethylene–propylene–diene terpolymer (EPDM), serving as high voltage direct current (HVDC) cable accessory insulation, which likely induces electrical field distortion and dielectric breakdown. Direct fluorination is an effective method to modify the surface characteristics of the EPDM without altering the bulk properties too much. In this paper, the surface morphology, hydrophobic properties, relative permittivity, and DC conductivity of the EPDM before and after fluorination treatment were tested. Furthermore, the surface and interface charge behaviors in the HVDC cable accessory were investigated by the pulsed electroacoustic (PEA) method, and explained from the point of view of trap distribution. The results show that fluorination helps the EPDM polymer obtain lower surface energy and relative permittivity, which is beneficial to the interface match in composite insulation systems. The lowest degree of space charge accumulation occurs in EPDM with 30 min of fluorination. After analyzing the results of the 3D potentials and the density of states (DOS) behaviors in EPDM before and after fluorination, it can be found that fluorination treatment introduces shallower electron traps, and the special electrostatic potential after fluorination can significantly suppress the space charge accumulation at the interface in the HVDC cable accessory.

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Section: Introductionmentioning

confidence: 99%

Surface Layer Fluorination-Modulated Space Charge Behaviors in HVDC Cable Accessory

et al. 2018

Polymers

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“…For direct fluorination of polymers, the thickness, fluorine content, bond cleavage and surface roughness of the formed surface layer generally increase with fluorination temperature at the same fluorination time [13]. Actually, we have reported that fluorination temperature has an unusual effect on surface physicochemical characteristics of the SIR material used in this study, for instance, the fluorination at 55 °C produced a fluorinated layer unusually thicker than that formed by fluorination at a higher temperature of 85 °C at the same treatment time of 30 min [15]. Figure 3 shows SEM cross-section and surface images of the surface fluorinated samples in this study, where the crosssection and the smooth surface of the virgin sample are also given for comparison.…”

Section: Physicochemical Characteristics and Mechanisms For Moisture mentioning

confidence: 50%

“…The same silicone base and curing process as before [15] were employed to prepare SIR sheets in this study. The silicone base was high consistency SIR containing peroxide vulcanizing agent and 30% by weight of surface modified fumed silica, supplied by Elkem Silicone Shanghai Co., Ltd.…”

Section: Sample Preparation and Fluorinationmentioning

confidence: 99%

“…Its most extensive commercial application is to enhance the barrier properties of polymeric containers to permeation of various liquids [13]. However, to the best of our knowledge, there are no reports on the application of direct fluorination for the improvement of moisture barrier properties of polymers, although the method has been used to improve the electrical properties of polymer insulators in the past decade [14][15][16]. For example, we have reported that direct fluorination can improve the hydrophobicity and discharge resistance of a HTV SIR material and fluorination conditions have an effect on the property improvement [15,16].…”

Section: Introductionmentioning

confidence: 99%

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Moisture Barrier Properties of Silicone Rubber Surface Layers Fluorinated at Different Temperatures

Chen

Huang

et al. 2021

IEEE Trans. Dielect. Electr. Insul.

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In this study, direct fluorination is used to modify the surface of silicone rubber. Moisture barrier properties of the SIR surface layers fluorinated at different temperatures are evaluated by moisture absorption experiments at a temperature of 30 or 60 °C and at a relative humidity of 75 or 97%. Physicochemical characteristics of the fluorinated SIR surface layers are investigated on the basis of ATR-IR, XPS and SEM techniques. The moisture absorption measurements show that the fluorinated surface layer has a distinct moisture barrier to the entry of water into the interior of SIR at each humidity and temperature condition, and a close association of the barrier properties with fluorination temperature or physicochemical characteristics of the fluorinated layer. The barrier is particularly significant for such a surface layer fluorinated at a lower temperature, which has higher fluorine content and compactness although a small thickness, compared to the surface layer fluorinated at higher temperatures. In addition, fitting analysis of the experimental data further shows a lower apparent diffusivity of the surface fluorinated samples than the unfluorinated sample.

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“…be under high temperature conditions and pay attention for a long time to ensure the successful completion of production work, such as the temperature control of molten iron in front of the furnace, the casting machine, etc., and also require workers to concentrate on standing or sitting for a long time in high temperature and noise. Hence, in addition to occupational diseases, there are also a series of chronic non-infectious diseases in the course of work [3], [4]. Dyslipidemia is one of the major risk factors for a variety of chronic non-infectious diseases, and a major cause of stroke and heart disease [5].…”

Section: Introductionmentioning

confidence: 99%

Research on Risk Prediction of Dyslipidemia in Steel Workers Based on Recurrent Neural Network and LSTM Neural Network

Cui

Chen

et al. 2020

IEEE Access

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With the development of medical digitization technology, artificial intelligence and big data technology, the medical model is gradually changing from treatment-oriented to prevention-oriented. In recent years, with the rise of artificial neural networks, especially deep learning, great achievements have been made in realizing image classification, natural language processing, text processing and other fields. Combining artificial intelligence and big data technology for disease risk prediction is a research focus in the field of intelligent medicine. Blood lipids are the main risk factors of cardiovascular and cerebrovascular diseases. If early prediction of abnormal blood lipids in iron and steel workers can be carried out, early intervention can be carried out, which is beneficial to protect the health of iron and steel workers. This paper around the steel workers dyslipidemia prediction problem for further study, firstly analyzes the influence factors of the steel workers dyslipidemia, discusses the commonly used method for prediction of disease, and then studied deep learning related theory, this paper introduces the two deep learning algorithms of RNN (Recurrent Neural Network) and LSTM (Long Short-Term Memory). Use the basic principle of Python language and the TensorFlow deep learning framework, establishes a prediction model based on two deep learning networks, and makes an example analysis. Experimental results show the LSTM prediction effect is superior to traditional RNN network, It provides scientific basis for the prevention of iron and steel dyslipidemia. INDEX TERMS Dyslipidemia, risk prediction, deep learning, RNN, LSTM.

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Unusual effect of temperature on direct fluorination of high temperature vulcanized silicone rubber and properties of the fluorinated surface layers

Cited by 18 publications

References 35 publications

Surface Layer Fluorination-Modulated Space Charge Behaviors in HVDC Cable Accessory

Surface Layer Fluorination-Modulated Space Charge Behaviors in HVDC Cable Accessory

Moisture Barrier Properties of Silicone Rubber Surface Layers Fluorinated at Different Temperatures

Research on Risk Prediction of Dyslipidemia in Steel Workers Based on Recurrent Neural Network and LSTM Neural Network

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