复合绝缘子弱憎水性状态描述方法Ⅲ——液滴面积法的适用性

发布时间：2018-04-17 10:18

本文选题：弱憎水性 + 液滴面积　；参考：《电工技术学报》2015年08期

【摘要】：寻求合适的方法及参数来描述染污复合绝缘子的弱憎水性状态,对弱憎水性状态给出明确的定义,并对当前已有的7个憎水等级进一步细化。通过10μL靛蓝溶液在染污高温硫化硅橡胶试片表面的垂直投影面积,来反映污层的憎水性状况,并尝试将液滴面积与染污绝缘芯棒的污闪电压建立联系,以揭示弱憎水性阶段憎水性能改变对绝缘子污闪特性的影响。结合液滴在污层表面的形态以及试品的污闪特性,在人工污秽试验的基础上将当前憎水等级HC7进一步细化为四个阶段,分别是HC7A、HC7B、HC7C及HC7D。比较液滴面积、液滴接触角以及喷水分级试验结果,将新憎水等级HC7B定义为弱憎水性状态。试验研究认为:液滴面积法弥补了液滴接触角法在染污试品呈弱憎水性状态下的不足,可以用于弱憎水性阶段的憎水特性研究;而憎水性较强时,面积法对憎水性的辨识能力有限,选用接触角法更适合此阶段的研究。
[Abstract]:To find suitable methods and parameters to describe the weak hydrophobicity state of contaminated composite insulator, to define the weak hydrophobicity state clearly, and to further refine the existing 7 hydrophobicity grades.The vertical projection area of 10 渭 L indigo solution on the surface of contaminated high temperature vulcanized silicone rubber was used to reflect the hydrophobicity of the fouling layer, and to establish a relationship between the liquid drop area and the pollution flashover voltage of the contaminated insulating mandrel.In order to reveal the influence of the change of hydrophobicity on insulator pollution flashover in the stage of weak hydrophobicity.Combined with the morphology of droplets on the surface of the sewage layer and the flashover characteristics of the samples, the current hydrophobic grade HC7 was further refined into four stages, namely HC7A, HC7B, HC7C and HC7D, on the basis of the artificial contamination test.The new hydrophobicity grade (HC7B) is defined as weak hydrophobic state by comparing the results of droplet area, drop contact angle and spray grading test.The experimental results show that the drop area method can make up for the deficiency of droplet contact angle method under the condition of weak hydrophobicity, and can be used to study the hydrophobicity in the stage of weak hydrophobicity, but when the hydrophobicity is strong,The area method has limited ability to identify hydrophobicity, and contact angle method is more suitable for this stage of research.
【作者单位】：清华大学深圳研究生院;
【基金】：国家自然科学基金资助项目(51377093)
【分类号】：TM216

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