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Sample learning-based porous media modeling method

A technology for porous media and modeling methods, applied in the field of porous media modeling based on sample learning, which can solve problems such as failure to reflect design goals, practical limitations, and lack of design rules.

Inactive Publication Date: 2014-12-31
SHANGHAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since the formation of the natural porous structure is affected by the external environment, a specific sample can only reflect a specific local structure and cannot reflect the predetermined design goal, and the limitation of the sample size limits the practicability of this method.
More importantly, various computer-aided design methods lack effective design rules, and the evaluation of the designed model can only rely on subsequent simulation analysis and physical experiments.

Method used

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  • Sample learning-based porous media modeling method
  • Sample learning-based porous media modeling method
  • Sample learning-based porous media modeling method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0078] This method is based on sample learning to design porous structures, and the implementation process is as follows: image 3 As shown, the operation steps are as follows:

[0079] (1) Designing the cell model includes determining the shape of the pores and designing the structure of the cell model.

[0080] In order to obtain a porous structure closer to the natural form, the present invention uses a spheroid as the pore shape. In the case of meeting the requirements of modeling pore size, an ellipsoid with a larger ratio of the major axis radius to the minor axis radius is selected so that the established porous structure has a larger specific surface area and good flow field characteristics.

[0081] The spheroid is filled in the regular hexahedral grid with 6-adjacency relationship as a pore unit model, and the body center of the regular hexahedral grid is used as the spherical center of the ellipsoid. According to the pore requirements of the modeling, the side len...

Embodiment 2

[0090] This embodiment is basically the same as Embodiment 1, and the features are as follows:

[0091] 1. The bone in the human body is a typical porous medium structure. With the development of bone tissue engineering, the modeling of artificial bone scaffolds has received more and more attention. Porosity and pore connectivity are two important parameters to evaluate the performance of artificial bone scaffolds. Due to the lack of effective design rules, how to control the connectivity of artificial bone scaffolds is less studied in the current research. Therefore, the above modeling method is used here to establish a bone scaffold model with controllable porosity and pore connectivity, and to verify the feasibility and reliability of this method.

[0092] The human skeleton is composed of about 80% compact bone and about 20% cancellous bone, and the porosity of cancellous bone is generally about 90%. The porosity of the artificial bone scaffold model is generally requir...

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Abstract

The invention relates to a sample learning-based porous media modeling method. The method comprises the following operating steps of: (1) designing a unit model: taking a rotational ellipsoid as a pore shape, wherein a unit model structure is expressed as a 6-adjscent regular hexahedron structure; (2) selecting unit model characteristics: selecting unit direction vectors of seven long axes in the unit model as structure expression characteristic quantities; (3) collecting samples and establishing a sample library: collecting the samples by referencing a manual assessment result to establish the sample library; (4) learning design rules: aiming at the sample library in the step (3), taking a correlation model of the performance and the structure of a stochastic decision tree forest learning structure as a structure assessment tool; (5) filling a spatial mesh to generate a pore model: selecting structural parameters by utilizing the structure assessment tool in the step (4), filing ellipsoids in a three-dimensional spatial mesh to generate the pore model; and (6) generating a porous media model: constructing a solid model and performing Boolean difference operation on the solid model and the pore model in the step (5) to obtain the required porous media model. The experiments of establishing an artificial bone scaffold model prove that the control over the pore connectivity of a porous structure is realized by adopting the method; the established model can meet a specific objective; and moreover, the internal pores have high connectivity, so that the practical application of the model is facilitated.

Description

technical field [0001] The invention relates to a method for computer-aided design of porous structures, in particular to a method for modeling porous media based on sample learning. Background technique [0002] Porous media is a structural form that widely exists in nature, and its structure consists of two parts—solid matter and pores. According to its formation reasons, it can be divided into natural porous media and artificial porous media. The former includes naturally occurring structures such as rocks, soil, animal bones, plant roots, stems and leaves; the latter includes man-made products such as casting sand molds, ceramics, bricks, activated carbon, glass fibers, and artificial bone scaffolds. Porous media mainly has the following excellent properties: large specific surface area, high mechanical strength / mass ratio, and the complex internal structure and interconnected pores are conducive to the transportation and storage of fluid media. These excellent pro...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50
Inventor 姚远程敏
Owner SHANGHAI UNIV