A modeling and optimization method for heterogeneous objects based on complex networks theory

Zhang, Denghui; Zhou, Yiqi; Guo, Yang

doi:10.1007/s10586-017-1378-2

Cited by 2 publications

(3 citation statements)

References 27 publications

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“…It is a challenging task to establish the rich solid model of a product and give full play to the advantages of physical and mechanical properties [28]. A regular porous structure can be formed by linear or array combination of simple and primitive cells, while it is difficult to model the sizes and distributions of irregular 3D pores.…”

Section: Problems Of Existing Methodsmentioning

confidence: 99%

A Simple and Effective Modeling Method for 3D Porous Irregular Structures

Ren

Zhang

2022

Processes

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Porous structures are kinds of structures with excellent physical properties and mechanical characteristics through components and internal structure. However, the irregular internal morphology of porous structures poses new challenges to product modeling techniques. Traditional computer-aided design (CAD) modeling methods can only represent the external geometric and topological information of models, lacking the description of the internal structure and conformation, which limits the development of new porous products. In this paper, a new simple and effective modeling method for 3D irregular porous structures is proposed, which improves the controllability of pore shape and porosity, thus overcoming the limitations of existing methods in 3D and concave structures. The key idea is to solve isothermal for modeling the porosity of porous units. Experimental results show that the method can easily obtain smooth and approximate porous structures from arbitrary irregular 3D surfaces.

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Section: Problems Of Existing Methodsmentioning

confidence: 99%

A Simple and Effective Modeling Method for 3D Porous Irregular Structures

Ren

Zhang

2022

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“…The metallic foam has been widely used in protective engineering in recent years. Its excellent performance in machinery and energy absorption capability originates from its inherent characteristics [1][2][3][4][5][6][7][8][9][10], which calls for further exploration of the mesoscopic properties of metallic foam. Generally, the closed-cell aluminium foam is a widely-used foam in engineering because it is convenient and low-cost [3].…”

Section: Introductionmentioning

confidence: 99%

“…Generally, the closed-cell aluminium foam is a widely-used foam in engineering because it is convenient and low-cost [3]. Mesoscopic method is an efficient methodology in studying the mesoscopic damage and has been used widely for the investigation of material mechanics [2][3][4][5][6][7][8][9][10]. Many studies have explored the mesoscopic properties of closedcell aluminium foams [5][6][7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

The development of a 3D mesoscopic model of metallic foam based on an improved watershed algorithm

Zhang¹,

Zhang²,

Wang³

et al. 2018

Modelling Simul. Mater. Sci. Eng.

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The watershed algorithm has been used widely in the x-ray computed tomography (XCT) image segmentation. It provides a transformation defined on a grayscale image and finds the lines that separate adjacent images. However, distortion occurs in developing a mesoscopic model of metallic foam based on XCT image data. The cells are oversegmented at some events when the traditional watershed algorithm is used. The improved watershed algorithm presented in this paper can avoid oversegmentation and is composed of three steps. Firstly, it finds all of the connected cells and identifies the junctions of the corresponding cell walls. Secondly, the image segmentation is conducted to separate the adjacent cells. It generates the lost cell walls between the adjacent cells. Optimization is then performed on the segmentation image. Thirdly, this improved algorithm is validated when it is compared with the image of the metallic foam, which shows that it can avoid the image segmentation distortion. A mesoscopic model of metallic foam is thus formed based on the improved algorithm, and the mesoscopic characteristics of the metallic foam, such as cell size, volume and shape, are identified and analyzed.

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A modeling and optimization method for heterogeneous objects based on complex networks theory

Cited by 2 publications

References 27 publications

A Simple and Effective Modeling Method for 3D Porous Irregular Structures

A Simple and Effective Modeling Method for 3D Porous Irregular Structures

The development of a 3D mesoscopic model of metallic foam based on an improved watershed algorithm

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