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基于图像处理技术的纳米纤维膜孔隙率表征

         

摘要

A new characterization method for the porosity of nanofiber membrane was put forward based on the digital image processing and analysis technology. Firstly, the segmentation threshold of SEM images was obtained by Photoshop, and then the areas were counted by MatLab. And finally the value of porosity was acquired by calculating. Test results showed that the porosity of nanofiber membrane decreased as the fiber diameter increased. When compared with density method, it was found that the error was lower than 6% , indicating that this method is reliable. Furthermore, in order to investigate the influence of the fiber crisscross on the porosity, membranes with different thicknesses were prepared under the same spinning conditions, and the image analysis showed that the porosity errors between samples were lower than 4%, therefore, it might be considered that fiber crisscross had little influence on the measurement results.%基于数字图像处理分析技术,提出一种纳米纤维膜孔隙率的表征方法.首先采用Photoshop软件确定纤维膜SEM图像的分割阈值,然后运用MatLab软件进行面积统计,计算出纳米纤维膜的孔隙率.测试结果表明,纳米纤维膜的孔隙率随着纤维直径的增大而减小.同时,将图像处理方法与密度法的测试结果进行对比,发现误差不大于6%,说明该方法的测试结果是可靠的.此外,为了研究纤维膜中纤维交错对孔隙率的影响,在相同纺丝工艺条件下,制备了不同厚度的纳米纤维膜,图像法得到的孔隙率差异在4%以内,可以认为纤维交错对测试结果影响不大.

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