Yarn Orientation Detection Method of Biaxial Weft Knitted Composites Based on Binocular Vision System
XIANG He1,2, JIANG Yaming1,2,*, YANG Chen1,2, ZHOU Yiying1,2,3
1 Key Laboratory of Advanced Textile Composites (Ministry of Education), Tiangong University, Tianjin 300387, China 2 School of Textile Science and Engineering, Tiangong University, Tianjin 300387, China 3 Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong 999077, China
Abstract: The local fiber orientation of fiber reinforced composites is critical to the mechanical properties of composites. To ensure the performance of composite parts and achieve efficient fiber orientation detection of composites’ surface, a low-cost yarn orientation reconstruction system for the composite parts’ surface was developed based on binocular structured light detection technology. Firstly, the position of the turntable axis in the world coordinate system was calibrated. Secondly, the prepared sample was placed on the turntable to acquire its three-dimensional graphic information, and the contour information of warp and weft yarn in each collection result was extracted. Then, the filtered local data were combined to obtain the overall graphic information of the sample and the spatial path of the yarn. Finally, the coverage of yarn path recognition and the accuracy of graphic data were evaluated, and the source of error was analyzed. The experimental data shows that the coverage of the reconstructed yarn path was 80%, and the error rate of the graphic data was less than 0.2%. The results indicate that the designed binocular structured light measurement system is effective and feasible, which can provide support for product quality control and technical process design.
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2023, Vol. 37 
