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Variable Subpixel Convolution Based Arbitrary-Resolution Hyperspectral Pansharpening
IEEE Transactions on Geoscience and Remote Sensing ( IF 7.5 ) Pub Date : 7-11-2022 , DOI: 10.1109/tgrs.2022.3189624
Lin He 1 , Jinhua Xie 1 , Jun Li 2 , Antonio Plaza 3 , Jocelyn Chanussot 4 , Jiawei Zhu 1
Affiliation  

The present report demonstrates the efficacy and capabilities of transformer oil due to their growing demand for the production of good insulation. In this work, we have enhanced the electrical and thermal properties of nanofluid (NF)-based mineral oils using the Quickfield simulation in the presence of the different types of nanoparticles (NPs), namely, magnesium oxide (MgO), titanium dioxide (TiO2), and iron oxide (Fe3O4), which are classified based on their conductivity. Different concentrations of NPs of 1%, 5%, and 10% have been used to prepare the NFs. The test cell model and the dummy model of a three-phase transformer have been designed to investigate the electrical and thermal properties of the NFs. It is found that the addition of NPs enhanced both the electrical and thermal properties of the fluid. The voltage at the center of the electrodes decreased by 46% in the case of TiO2 at the highest percentage concentration (10%) of NPs, while for the same concentration of MgO and Fe3O4, it is reduced by 18% and 24%, respectively, whereas the temperature of the oil decreased by approximately 20%, for all NFs at the highest concentration (10%). It is envisaged that the method used can be very useful in determining the properties of NPs before testing them in real life.

中文翻译:


基于可变子像素卷积的任意分辨率高光谱全色锐化



本报告展示了变压器油的功效和能力,因为它们对生产良好绝缘的需求不断增长。在这项工作中,我们在存在不同类型的纳米粒子 (NP)(即氧化镁 (MgO)、二氧化钛 (TiO2))的情况下,使用 Quickfield 模拟增强了纳米流体 (NF) 基矿物油的电学和热学性质)和氧化铁(Fe3O4),根据其电导率进行分类。 1%、5%和10%的不同浓度的NP已用于制备NF。三相变压器的测试单元模型和虚拟模型旨在研究 NF 的电性能和热性能。研究发现,纳米颗粒的添加增强了流体的电性能和热性能。在纳米颗粒最高百分比浓度(10%)的TiO2情况下,电极中心电压下降了46%,而对于相同浓度的MgO和Fe3O4,电极中心电压分别下降了18%和24% ,而对于最高浓度 (10%) 的所有 NF,油温降低了约 20%。据设想,所使用的方法对于在现实生活中测试纳米粒子之前确定纳米粒子的特性非常有用。
更新日期:2024-08-26
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