Foam Structure Modeling for Fast Material Property Estimation
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Solution Overview
Problem
Existing methods for determining material properties of foam samples are labor-intensive, requiring extensive equipment, skilled personnel, and time, and are not easily adaptable to various foam materials and size scales.
Innovation Solution
A computer-implemented method that extracts structural features such as walls, struts, and nodes from sample representations, using image processing techniques, and applies these features to material models to determine properties like Young's modulus, elasticity, and thermal conductivity, utilizing both physical and data-driven models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional testing methods are used to determine material properties, then measurement precision is improved, but loss of time and productivity deteriorate
Solution Approach 1:
The patent creates a digital copy (3D model) of the foam sample's internal structure using imaging techniques like X-ray micro-computed tomography. This virtual replica allows for computational analysis of material properties without requiring physical testing, thereby eliminating time-consuming mechanical tests while maintaining measurement accuracy through image-based structural analysis.
Solution Approach 2:
The patent replaces mechanical testing systems with an image processing and computational system. Instead of applying physical loads to measure mechanical properties, the system uses digital models and image analysis algorithms to predict material properties from the foam's structural features, substituting mechanical measurement with computational evaluation.
2Measurement precision
If traditional testing methods are used to determine material properties, then measurement precision is improved, but device complexity and ease of operation worsen
Solution Approach 1:
The patent develops a universal image processing framework that can determine multiple material properties (density, porosity, mechanical properties) from a single set of images. This multi-functional approach eliminates the need for separate specialized testing equipment for each property measurement, reducing overall device complexity while maintaining precision through a unified analysis system.
Solution Approach 2:
By creating a comprehensive digital model that captures the foam's complete internal structure, the system enables multiple property extractions from one copy, replacing the need for multiple physical test setups and reducing the complexity associated with various specialized testing apparatuses.
3Measurement precision
If traditional testing methods are used to determine material properties, then measurement precision is improved, but ease of operation worsens
Solution Approach 1:
The patent implements automated image processing algorithms that automatically extract structural features and calculate material properties without requiring manual intervention. The system performs self-service through automated segmentation, feature extraction, and property calculation, eliminating the need for skilled personnel to conduct and interpret physical tests, thereby simplifying operation while maintaining precision.
Solution Approach 2:
The replacement of manual mechanical testing with automated computational analysis removes the need for trained operators to perform complex physical tests, making the process easier to operate while preserving measurement accuracy through algorithmic analysis of the digital model.
4Productivity
If image-based methods are used to determine material properties, then productivity is improved, but measurement precision may deteriorate
Solution Approach 1:
The patent performs preliminary high-resolution imaging to capture the complete internal structure of the foam sample before analysis. This preliminary action creates a detailed digital record that can be analyzed computationally to extract accurate material properties, ensuring that all necessary structural information is captured upfront to maintain precision while enabling fast subsequent analysis.
Solution Approach 2:
The creation of a high-fidelity digital copy preserves all structural details needed for accurate property determination. The copying process itself is fast and non-destructive, and the resulting digital model can be analyzed repeatedly without degradation, maintaining precision while enabling rapid productivity through computational analysis.
Data Source
AI summary
The present invention is in the field of methods for determining material properties from foam samples. It relates to a computer-implemented method for determining a material property of a foam sample comprising (a) providing a representation of the sample, (b) extracting at least one structural feature from the representation, wherein the at least one structural feature comprises walls, struts, or nodes (c) providing the at least one structural feature to a material model suitable for obtaining at least one material property from the structural feature, and (d) outputting the at least one material property received from the material model.