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Improvement of Used Transformer Oils with Activated Bentonite 被引量:1
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作者 loai nasrat Mohamed Abdelwahab Gamal Ismail 《Engineering(科研)》 2011年第6期588-593,共6页
This research presents the evaluation of activated Bentonite material for treatment of used transformer oil. Different properties such as;electrical, physical, chemical and thermal of used transformer oil were meas-ur... This research presents the evaluation of activated Bentonite material for treatment of used transformer oil. Different properties such as;electrical, physical, chemical and thermal of used transformer oil were meas-ured before and after purification and treatment. Two power transformers were used in this research (6.4: 4.6 MVA, 3 phases, 50 Hz). One of them was filled with purified oil and the other was filled with activated Bentonite treated oil after purification, and then the two power transformers were tested for one year under practical conditions of the operating field. Initial tests have indicated that the use of Activated BENTONITE in the treatment process for the aged transformer oil improved breakdown voltage, water content, total acidi-ty and flash point. Thus activated Bentonite gives an ideal treatment of aged transformer oil with its environmental and economic advantages. Moreover, activated Bentonite is available at many places in Egypt with low costs. 展开更多
关键词 Aged TRANSFORMER Oil BENTONITE BREAKDOWN VOLTAGE PHYSICAL and Thermal Properties
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ANN approaches to determine the dielectric strength improvement of MgO based low density polyethylene nanocomposite
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作者 Sherif Haggag loai nasrat Hanafy Ismail 《Journal of Advanced Dielectrics》 CAS 2021年第4期27-36,共10页
This paper presents the modification occurred to the dielectric strength feature of low density polyethylene compounded with nano magnesia(LDPE/MgO).MgO nanoparticles were prepared using sol-gel technique,MgO filler s... This paper presents the modification occurred to the dielectric strength feature of low density polyethylene compounded with nano magnesia(LDPE/MgO).MgO nanoparticles were prepared using sol-gel technique,MgO filler surface was functionalized to improve the interfacial bonding.Specimen’s groups of composites with different filler concentrations were fabricated by mix blend method.Samples exposed to various salinity media by immersion,dielectric strength test was applied on each set according to relevant ASTM standard with identical testing technique.The results were statistically processed then compared to the pristine material.Tests results utilized to learn Artificial Neural Network in order to acquire the value of dielectric strength of compounds having similar composition but containing different doping amounts or influenced with various salinity level media.The dielectric strength is enhanced by the addition of MgO nanofiller.From the investigation of the obtained results,it is concluded that additives of 1.4%filler concentration by weight is the optimum MgO content for LDPE/MgO nanofiller material.We think that this paper may promote a good researching methodology that gather both empirical work and numerical tools in this field. 展开更多
关键词 Polymer nanocomposites SALINITY surface treatment breakdown strength artificial neural network
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