3D Woven Fabric Image Analysis for X-Yarn Orientation Estimation
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Solution Overview
Problem
Existing methods for analyzing the orientations of fiber bundles in fiber-reinforced composite materials, such as those used in Ceramic Matrix Composites, are limited in their ability to accurately assess multiple orientations and are impractical for product testing due to long imaging times and incompatibility with non-circular cross-section fibers.
Innovation Solution
An image analysis apparatus and method that binarizes three-dimensional images of woven fabrics, extracts overlapping areas, determines reference directions, removes Z-yarns using directional distance methods, and estimates fiber bundle orientations, enabling accurate analysis of X-yarns and Y-yarns in three-dimensional weaving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-definition X-ray CT imaging is used to identify each fiber, then measurement precision is improved, but imaging time increases significantly making it impractical for product testing
Solution Approach 1:
The patent segments the analysis process into two stages: first, low-definition imaging captures overall fiber bundle orientations; second, only regions requiring detailed inspection are imaged at high definition. This segmentation allows most of the material to be analyzed quickly while maintaining the option for detailed examination of specific areas, thus reducing overall imaging time while preserving measurement precision where needed.
Solution Approach 2:
The patent applies partial action by using low-definition imaging for the majority of the fiber bundle analysis, and only applying high-definition imaging partially to specific regions of interest. This approach achieves sufficient measurement precision for most purposes without the excessive time cost of full high-definition imaging, effectively resolving the contradiction between precision and time.
2Device complexity
If Fourier transformation and power spectrum analysis are used to determine orientation, then analysis is simplified, but only one direction can be obtained which is insufficient for multi-directional fiber arrangements
Solution Approach 1:
The patent transitions from two-dimensional slice image analysis to three-dimensional volumetric image analysis. By utilizing the third dimension (depth/height), the system can determine orientations of fiber bundles in multiple directions simultaneously, not just a single in-plane direction. This dimensional expansion preserves all orientation information while maintaining analytical tractability through 3D image processing techniques.
3Measurement precision
If X-ray CT imaging with special filter functions is used to analyze fiber orientations, then measurement precision is improved, but the method is only effective for circular cross-section fibers and requires manual input of starting points
Solution Approach 1:
The patent develops an image processing method that is universal for fiber bundles regardless of cross-sectional shape. By using three-dimensional image processing that analyzes the overall shape and orientation of fiber bundles in space, the method works for both circular and non-circular cross-sections. This eliminates the limitation of shape-specific methods and provides a unified approach that maintains precision while improving ease of operation.
Solution Approach 2:
The patent implements automatic detection algorithms that self-determine the starting points and trajectories of fiber bundles without requiring manual input. The system automatically identifies fiber bundle positions and orientations through image processing, making the analysis process autonomous and eliminating the troublesome manual operations required by previous methods, thereby significantly improving ease of operation.
4Loss of information
If three-dimensional weaving analysis is performed to capture all fiber directions, then orientation information completeness is improved, but analysis complexity increases due to multiple intersecting yarn directions
Solution Approach 1:
The patent segments the complex three-dimensional fiber bundle analysis into distinct processing steps: first extracting overall orientation from the 3D image, then identifying individual fiber bundle trajectories, and finally analyzing intersections and weaves. This segmentation breaks down the complex problem into manageable components, maintaining complete orientation information while reducing overall analysis complexity through systematic decomposition.
Data Source
AI summary
An image analysis apparatus, which analyzes orientations of fiber bundles of X-yarns and Y-yarns from a three-dimensional image of a woven fabric made of fiber bundles of the X-yarns, the Y-yarns, and Z-yarns, includes: a binarization unit that binarizes the three-dimensional image; an overlapping area extraction unit that extracts an overlapping area from the binarized image; a reference direction determination unit that averages an overlapping direction of each voxel included in the overlapping area and determines the averaged direction as a reference direction; a Z-yarn removal unit that removes the Z-yarns from the binarized image by applying a directional distance method on a reference plane perpendicular to the reference direction; and a fiber bundle orientation estimation unit that applies the directional distance method on the reference plane and estimates the orientations of the fiber bundles of the X-yarns and the Y-yarns based on a calculated directional distance.