Computer pattern recognition technology for microstructure of composite material and three-dimensional modeling method
A technology for computer identification and mesostructure, applied in the field of composite materials, can solve the problems of difficult and unstable identification of material components, and achieve the effect of reducing boundary point extraction errors, saving time, and avoiding errors and instability.
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[0055] A computer graphics recognition technology and a three-dimensional modeling method for a 2.5D composite material mesostructure, comprising the steps of:
[0056] Step 1: Using XCT technology to obtain slices of the internal structure of the 2.5D composite material. The length direction of the picture is the length direction of the material, and the out-of-plane direction of the picture is the axial direction of the weft yarn, such as figure 1 shown.
[0057] Step 2: Calculate the theoretical threshold m0 by using the outu threshold segmentation method, and compare the threshold segmentation effects adjacent to m. Such as figure 2 (a), (b), and (c) are binary images segmented by thresholds m0, m0+1, and m0+2 in turn, and the total number of corresponding independent small regions is 328, 196, and 228 in turn. It can be seen from the figure that after the threshold m0 is used for segmentation, there are more noise points in the picture, so the number of independent sm...
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