3D Fiber Bundle Distribution Evaluation Using Reference Vector Cells
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Solution Overview
Problem
Existing methods fail to provide a systematic and quantitative evaluation of fiber bundle distribution in three-dimensional fiber reinforced materials, particularly in CMCs, due to fiber displacement during deformation, which affects material properties.
Innovation Solution
A system for evaluating fiber bundle distribution using three-dimensional vector data, involving division of the material into cells, data averaging, and display of reference vector data to facilitate quantitative comparison.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the fabric is molded into a three-dimensional structure, then the material achieves complex shapes and structural diversity, but the fiber bundles become displaced and disordered, leading to loss of information about original fiber directions
Solution Approach 1:
The patent applies preliminary action by embedding markers in the fabric before molding, and capturing images at this stage when fiber directions are still intact. This allows the original fiber orientation information to be recorded before the molding process causes displacement and disordering of the fiber bundles.
Solution Approach 2:
The patent creates a copy of the fiber direction information by using markers that represent the original fiber orientations. These markers are captured in images before molding, creating a preservable record (copy) of the fiber directions that can be analyzed later even after the actual fibers become disordered during three-dimensional molding.
2Strength
If ceramic reinforcement fibers are used, then heat resistance and strength are improved, but the fibers cannot stretch to absorb deformation, causing fiber bundles to displace during bending
Solution Approach 1:
The patent introduces markers as intermediary elements that are embedded with the fiber bundles. These markers serve as mediators to track and record the position and direction of fiber bundles throughout the molding process. The markers themselves can deform with the fabric, allowing them to maintain their relationship with the fibers while providing a measurable record of fiber orientation changes.
Solution Approach 2:
The patent utilizes markers with distinct visual characteristics (color, reflectivity, or other detectable properties) that allow for easy identification and tracking. These markers create visual contrast against the background, enabling image processing systems to detect and analyze fiber bundle orientations through optical properties rather than requiring direct observation of the ceramic fibers themselves.
3Strength
If fiber bundles are densely packed to increase strength, then material strength improves, but evaluating the distribution becomes more difficult due to overlapping and disordering
Solution Approach 1:
The patent extracts the evaluation task from direct observation of the complex fiber bundle arrangements and separates it into marker detection. By focusing on detecting and analyzing the positions and orientations of the simpler, more distinct markers rather than directly analyzing the overlapping fiber bundles, the system can evaluate fiber distribution even in densely packed regions where direct fiber observation would be difficult.
Solution Approach 2:
The patent replaces direct mechanical/optical observation of fiber bundles with an image processing and computational analysis system. Instead of manually or directly visually evaluating fiber distributions, the system uses captured images of markers, processes them through image analysis algorithms, and computationally determines fiber bundle orientations and densities, making the evaluation objective and quantifiable.
Data Source
AI summary
A system for evaluating a distribution of fiber bundles in a fiber reinforced material by three-dimensional vector data of the fiber bundles is provided with: a calculator configured to divide the fiber reinforced material into a plurality of three-dimensional cells, selecting data respectively belonging to the cells, and averaging the selected data to calculate reference vector data; and a display configured to display the reference vector data two-dimensionally or three-dimensionally.