Microstructure Analysis Using Virtual Curved Surface Solids
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Solution Overview
Problem
Current methods for analyzing the microstructure of porous bodies, such as those used in filters, lack accuracy in evaluating trapping performance, particularly in simulating complex pore shapes and deriving relevant flow rates for fluid analysis.
Innovation Solution
A microstructure analysis method that uses virtual curved surface solids to simulate complex pore shapes within porous bodies, deriving flow-rate-weighted mean diameters by combining positional and voxel-type information from CT scans, and performing fluid analysis to assess trapping performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If virtual spheres are used to simulate pores in porous bodies, then microstructure analysis can be performed, but the accuracy of trapping performance evaluation is insufficient due to inability to accurately represent complex pore shapes
Solution Approach 1:
The patent uses virtual curved surface solids (spheroids) instead of simple spheres to simulate pore shapes. By employing curved surface geometry that can represent complex pore morphologies more accurately, the analysis achieves better shape representation while maintaining the computational advantages of spherical-based models.
Solution Approach 2:
The patent introduces flow-rate-weighted mean diameter as a new parameter that combines pore size information with flow rate characteristics. This parameter transformation enables more accurate trapping performance evaluation by weighting pore diameter measurements according to actual fluid flow conditions rather than simple geometric averages.
2Ease of manufacture
If simple average diameter is used for pore analysis, then calculation is simplified, but the correlation with actual trapping performance is weak due to ignoring flow rate variations
Solution Approach 1:
The patent transforms the simple average diameter parameter into a flow-rate-weighted mean diameter parameter. This parameter change incorporates flow rate information into the diameter calculation, creating a new metric that maintains computational feasibility while significantly improving correlation with actual trapping performance through the weighting mechanism.
Solution Approach 2:
The patent implements a feedback mechanism where flow rate information obtained from virtual fluid analysis is used to weight the pore diameter measurements. This feedback loop ensures that pores with higher flow rates contribute more to the mean diameter calculation, reflecting their greater importance to overall trapping performance.
3Shape
If virtual curved surface solids are placed to fill space voxels, then complex pore shapes can be simulated, but the device complexity and computational requirements increase
Solution Approach 1:
The patent creates virtual copies of curved surface solids to represent physical pores in the porous body. These virtual models replicate the essential geometric and flow characteristics of actual pores without requiring physical measurement of each pore, simplifying the analysis system while maintaining accuracy through computational modeling.
Solution Approach 2:
The patent replaces complex physical measurement and analysis systems with computational fluid dynamics and virtual modeling approaches. By substituting mechanical measurement methods with numerical simulations of virtual curved surface solids, the system achieves high accuracy while reducing physical complexity and measurement invasiveness.
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
This method provides a high-accuracy analysis of trapping performance by simulating complex pore shapes and deriving flow-rate-weighted mean diameters, enabling better evaluation of filter efficiency and performance.
Implementation Method 1
porous-body data in which positional information indicating position of a voxel obtained by three-dimensionally scanning the porous body
Data Source
Figure 1
Figure 2~3
Figure 4A~4B
AI summary
Plural of virtual curved surface solids, each of which is a curved surface solid formed by a combination of plural of virtual spheres, is placed so as to fill in space voxels, referring to porous-body data in which positional information is associated with voxel-type information (step S100). Information regarding a flow rate for each space voxel when a fluid passes through a porous body is derived by executing a fluid analysis based on the porous-body data (step S110). A flow-rate-weighted mean diameter Ru, which is a weighted average obtained by weighting an equivalent diameter R'i for each virtual curved surface solid with a volume Vi and an average flow rate Ui for each virtual curved surface solid, is derived based on information regarding the virtual curved surface solids and information regarding the flow rate for each space voxel (step S120).