3-D automatic mesh generation for FEA using dynamic bubble system

Yokoyama, Takayuki; Čingoski, Vlatko; Kaneda, Kazufumi; Yamashita, Hideo

doi:10.1109/20.767204

Cited by 25 publications

(17 citation statements)

References 2 publications

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“…In the proposed system, since the bubble movement is performed independently in every tetrahedral subdivision, the total computation for distance between far bubbles is reduced for shortening the computation cost. The previous dynamic bubble system [4] has a problem with respect to the memory size of GPU. Because the space of considering the bubble force was restricted to the initial subdivision in the proposed method, the used memory of GPU can be saved.…”

Section: A Subdivided Dynamic Bubble Systemmentioning

confidence: 99%

“…The force f i , which depends on the center position and the distances from its center to the center of the neighboring bubbles, is mathematically modeled by the van der Waals force [4]. Let d denote the distance between the centers of two adjacent bubbles, and the van der Waals force acting on the bubbles is approximated by the 3rd order polynomials, as shown in Fig.…”

Section:  mentioning

confidence: 99%

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Acceleration of Dynamic Bubble Mesh Generation for Large-Scale Model

2014

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An automatic mesh generation method employing a dynamic bubble system can provide a high-quality mesh for electromagnetic finite element analysis. However, it takes very long time to compute bubbles' movement when a mesh with a huge number of elements is generated. The bubbles move according to a force among them like the van der Waals force. However, the force received from bubbles of very far distance can be ignored. Therefore, it is unnecessary to calculate the force from all the bubbles. In this paper, we propose the subdivided dynamic bubble system in order to shorten the computation time. The proposed method considers an analysis region to divide into some tetrahedral subdivisions, and then the bubbles moves independently in the tetrahedral subdivisions. As the result, the acceleration of the computation time is achieved.Index Terms-Dynamic bubble system, finite element analysis, mesh generation, parallel computing.

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Section: A Subdivided Dynamic Bubble Systemmentioning

confidence: 99%

Section:  mentioning

confidence: 99%

Acceleration of Dynamic Bubble Mesh Generation for Large-Scale Model

2014

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“…with n k = |D a| (8) where k is the number of steps of the MFLE probability decreasing process, D is the element that has already updated the MFLE probability in Step 3 or 5, and a is the adjacent element of D k−1 . When γ k+1 is equal to 0.0 and j is smaller than N p , increase j by 1 and return to Step 3.…”

Section: Calculation Proceduresmentioning

confidence: 99%

Fast Magnetic Flux Line Allocation Algorithm for Interactive Visualization Using Magnetic Flux Line Existence Probability

et al. 2016

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The visualization of magnetic flux lines is one of the most effective ways to intuitively grasp a magnetic field. The depiction of continuous and smooth magnetic flux lines according to the magnetic field is of paramount importance. Thus, it is important to adequately allocate the distribution of magnetic flux lines in the analyzed space. We have already proposed two methods of determining the allocation of magnetic flux lines in 3-D space. However, both the methods exhibited a long computation time to determine the allocation of magnetic flux lines. For solving this problem, in this paper, we propose a new improved method for the correct allocation of magnetic flux lines in the 3-D space with modest computational cost. The main advantages of this method are shorter computation time, correct allocation of the magnetic flux lines, and, especially, short computation time for the visualization of magnetic flux lines when changes in the number of depicted flux lines are requested

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“…The analysis models distribute to slaves, and they analyze the electromagnetic characteristics such as the steady torque by using 2D-FEM. The automatic mesh generation is the bubble mesh method [10]. This method is used after the shape is determined.…”

Section: Genetic Programming (Gp)mentioning

confidence: 99%

Shape Optimization for Magnet and Flux Barriers of IPMSM By Using Polygon Model Method with GP

Ishikawa

Kitagawa

Takeshita

2015

Journal of the Japan Society of Applied Electromagnetics and Me

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This paper presents the shape optimization of magnet and flux barriers in the interior permanent magnet synchronous motor (IPMSM). Authors use the polygon model method with genetic programming (GP) by the twodimensional finite element method (2D-FEM). In this method, the analysis model of IPMSM is regarded as a tree structure. This method optimizes a shape by operating tree structures with GP. The tree structure of this method is possible to express every shape. Therefore, this method can obtain an optimal shape without being bound by a stereotype. The purpose is the investigation of shape design of magnet and flux barriers to improve the electromagnetic characteristics. Additionally, authors take into consideration about complexity of shape and volume of magnet.

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3-D automatic mesh generation for FEA using dynamic bubble system

Cited by 25 publications

References 2 publications

Acceleration of Dynamic Bubble Mesh Generation for Large-Scale Model

Acceleration of Dynamic Bubble Mesh Generation for Large-Scale Model

Fast Magnetic Flux Line Allocation Algorithm for Interactive Visualization Using Magnetic Flux Line Existence Probability

Shape Optimization for Magnet and Flux Barriers of IPMSM By Using Polygon Model Method with GP

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