基于PVM的聚合物绝缘子疏水性图像分析

T. Tokoro, Y. Omoto, M. Kosaki
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引用次数: 11

摘要

通过对硅橡胶绝缘子(SIR)等高分子绝缘材料表面的图像数据分析,研究了其表面的疏水性。利用UNIX操作系统下的PVM(并行虚拟机)编程程序,从样品表面水滴的表面图像评价聚合物表面的疏水性。利用CCD摄像机拍摄蒸馏水喷淋下的疏水表面图像。视频图像被分割成各个图像帧,PVM程序同时对每个图像数据进行分析。可以从每个疏水图像帧中评估液滴的大小和形状因子fc等图像指标。然后,评估了尺寸和fc的分布。在电场作用下液滴发生变形时,疏水指数随时间的变化也进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image analysis of hydrophobicity of polymer insulators using PVM
Hydrophobicity of polymeric insulating material surface such as silicone rubber insulator (SIR) was studied by using image data analysis of the sample surface. Using PVM (parallel virtual machine) programming procedure for UNIX operating system, hydrophobicity of polymer surface was evaluated from their surface images of water droplets on the sample surface. The hydrophobic surface images under the spraying of distilled water were taken by CCD camcorder. The video image was divided into each image frame and PVM program analyzed each image data, simultaneously. Image indexes such as size and shape factor, fc, of droplets can be evaluated from each hydrophobic image frame. Then, the distribution of the size and fc were evaluated. Time variation of the hydrophobic indexes during high electric field application was also evaluated, where electric field deformed the droplets.
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