3D-Printed Fiber-Reinforced Article Strength Evaluation by Tomography
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Solution Overview
Problem
Existing methods struggle to accurately evaluate the strength of fiber reinforced plastics due to their non-uniform internal rigidity, which is influenced by the direction and density of reinforcing fibers, especially in articles produced by 3D printers with complex internal structures.
Innovation Solution
A computing device and method that utilizes tomographic images to calculate rigidity parameters for small regions of fiber reinforced plastic articles by aligning tomographic images with calculation grids, specifying fiber directions, and applying finite element analysis to evaluate strength.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the article is divided into multiple small regions to evaluate strength accurately, then the measurement precision of strength is improved, but the device complexity increases due to the need to obtain rigidity parameters for each region based on complicated internal shape
Solution Approach 1:
The patent uses tomographic images as a copy or representation of the article's internal structure. Instead of directly measuring each small region's rigidity parameter through complex physical testing, the system creates a digital copy (tomographic image) that captures the internal geometry, then processes this copy to obtain the required rigidity parameters for strength evaluation.
Solution Approach 2:
The patent replaces complex mechanical measurement systems with a computational approach. Instead of using physical testing equipment to measure rigidity parameters of each small region, the system uses image processing and computational algorithms to extract geometric information from tomographic images and calculate the required parameters, thereby reducing device complexity while maintaining measurement precision.
2Measurement precision
If tomographic images are used to represent internal structure, then the measurement precision of internal structure is improved, but the loss of time increases due to the computational process required to process images and calculate rigidity parameters
Solution Approach 1:
The patent performs preliminary actions by acquiring tomographic images that already contain the internal structure information before the strength evaluation is needed. The tomographic imaging process captures the complete internal geometry in advance, and the system then processes these pre-acquired images to extract rigidity parameters, thereby reducing the overall time required compared to performing measurements during the evaluation process.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables precise strength evaluation of fiber reinforced plastic articles by reflecting their internal structure, including defect detection, thereby improving the accuracy of strength assessment.
Implementation Method 1
a tomographic image acquisition unit that acquires a plurality of tomographic images representing shapes of reinforcing fibers and shapes of resin in a plurality of sections
Data Source
AI summary
A computing device includes: a tomographic image acquisition unit that acquires a plurality of tomographic images representing shapes of reinforcing fibers and shapes of resin in a plurality of cross sections obtained when an article containing the reinforcing fibers and the resin is divided in parallel; and a computing unit that calculates a rigidity parameter of each of a plurality of small regions obtained by dividing the article, based on the plurality of acquired tomographic images.