Yu Benhui, Ren Jianbin, Wang Kongshuo, Wang Chuansheng, Bian Huiguang
College of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao 266061, China.
Shandong Provincial Key Laboratory of Polymer Material Advanced Manufactorings Technology, Qingdao University of Science and Technology, Qingdao 266061, China.
Materials (Basel). 2022 May 23;15(10):3726. doi: 10.3390/ma15103726.
Polyester-short-fiber-reinforced rubber composites have been detected by an X-ray three-dimensional microscope, and then the three-dimensional reconstruction of the image has been carried out to characterize the orientation of polyester short fibers in the composites for the first time. Based on the summary of three traditional methods and mechanisms of characterizing the orientation of polyester short fibers by the numerical parameter method, the direct test method, and the indirect test method, the method and mechanism of the X-ray three-dimensional microscope applied to the orientation characterization of polyester short fibers have been studied. The combination of the center point and threshold segmentation methods has been used to distinguish which fiber section belongs to the same fiber, and the identification of the whole short fiber in different slice images has been realized for the first time. Moreover, Avizo software has been used to realize the three-dimensional reconstruction of a polyester short fiber scanning image. The obtained data have been integrated and the orientation angle and orientation degree have been quantitatively characterized for the first time. This has filled the key technical problem of quantitative characterization of the orientation angle and orientation degree of polyester fibers. The image has been verified by 3Dmed software, and furthermore, the accuracy of the three-dimensional reconstruction results has been verified.
采用X射线三维显微镜对聚酯短纤维增强橡胶复合材料进行了检测,并首次对图像进行三维重建,以表征复合材料中聚酯短纤维的取向。在总结数值参数法、直接测试法和间接测试法这三种传统表征聚酯短纤维取向的方法及机理的基础上,研究了X射线三维显微镜应用于聚酯短纤维取向表征的方法及机理。采用中心点与阈值分割方法相结合,区分了属于同一纤维的纤维截面,首次实现了不同切片图像中整个短纤维的识别。此外,利用Avizo软件实现了聚酯短纤维扫描图像的三维重建。首次对获得的数据进行整合,并对取向角和取向度进行了定量表征。这填补了聚酯纤维取向角和取向度定量表征的关键技术难题。利用3Dmed软件对图像进行了验证,进一步验证了三维重建结果的准确性。