Abstract
Additive alignment inside a polymer composite significantly affects the physical properties of the material. Many studies have attempted to predict, measure, and control additive alignment inside polymer composites with the aim of enhancing their properties. The objective of this study is to analyze additive alignment inside a mixture of ball-milled carbon fibers and liquid polydimethylsiloxane flowing in a channel. To this end, an image-processing method was developed to more quickly and accurately analyze the additive alignment in images obtained from flow visualization experiments. A process was developed to calculate the angle and length of an additive according to its location and the time at which the image was captured, by analyzing a sequence of images obtained from an optical microscope with a high-speed camera. The proposed process was applied to images composed of arbitrarily drawn lines and actual flow visualization images, and the results were verified by being compared with those of calculations based on the Hough transform or with directly measured values.
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Jun Yub Park received Bachelor’s degree in Mechanical Engineering from Chosun University in 2017. He is currently pursuing Master’s degree in Heat Transfer Lab., Chosun University. His research area is analysis of fiber alignment inside polymer composites.
Dong-Wook Oh is an Assistant Professor in Department of Mechanical Engineering, Chosun University, Korea. He received Ph.D. from Department of Mechanical and Aerospace Engineering, Seoul National University in 2008. His research interests are focused in thermophysical property measurement techniques, thermal characterization of polymer composites and polymer heat exchangers.
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Park, J.Y., Oh, DW. Image processing of additive alignment inside a polydimethylsiloxane and carbon fiber mixture flow. J Mech Sci Technol 33, 2203–2209 (2019). https://doi.org/10.1007/s12206-019-0422-y
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DOI: https://doi.org/10.1007/s12206-019-0422-y