公开(公告)号：US20220035967A1

公开(公告)日：2022-02-03

申请号：US17349270

申请日：2021-06-16

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Shengfa WANG ,  Jiangbei HU ,  Xiaopeng ZHENG ,  Na LEI ,  Zhongxuan LUO

IPC: G06F30/20

Abstract: An efficient method for representation and optimization of porous structures belongs to the field of computer aided design. Firstly, a representation method of a multi-scale porous structure described by a function is provided. Based on the function representation, an optimization frame is designed. Then, an optimization problem model is established by taking structural energy minimization as a goal and taking a volume and a gradient as constraints. Finally, topological optimization is conducted firstly, and then geometric optimization is conducted. The topology and the thickness of the porous structure are optimized to obtain an optimization model filled with the porous structure. The present invention completely represents, analyzes, optimizes and stores the porous structure by functions, which greatly reduces the calculation complexity and greatly shortens the design and optimization period. Moreover, the present invention can provide an optimization model with strong structural hardness and stiffness under the volume constraint. The structure is suitable for frequently-used 3D printing manufacturing technologies. The internal structure does not need additional support in the printing process, which can save printing time and printing material.

公开(公告)号：US20240233294A1

公开(公告)日：2024-07-11

申请号：US17778263

申请日：2021-05-08

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Shengfa WANG ,  Yiming ZHU ,  Xiaopeng ZHENG ,  Na LEI ,  Zhongxuan LUO ,  Fuwei CHEN ,  Yongjie WANG ,  Fan ZHANG

IPC: G06T19/20 ,  G06T17/20

CPC classification number: G06T19/20 ,  G06T17/20 ,  G06T2219/2021

Abstract: The present invention discloses a topological preserving deformation method for a 3D model based on a multiple volumetric harmonic field, and belongs to the fields of computer graphics, computational mathematics, topology and differential geometry. Firstly, a tetrahedral mesh is constructed between a source 3D model and a target 3D model; then, a domain of topological transformation in a deformation process is calculated based on a traditional single volumetric harmonic field; special multiple boundary conditions are set; next, a multiple volumetric harmonic field is calculated; and finally, topological preserving surface deformation is induced. The present invention can find the domain of topological transformation in the deformation process based on a saddle point in the traditional volumetric harmonic field, and can adaptively construct the multiple volumetric harmonic field that can induce topological preserving deformation, so as to generate topological preserving deformation surfaces under the guidance of the multiple volumetric harmonic field. The method has universality and high efficiency for 3D model deformation of the same topology, requires less computational cost compared with the traditional large deformation diffeomorphism metric mapping, and can be widely used.

公开(公告)号：US20220327258A1

公开(公告)日：2022-10-13

申请号：US17841306

申请日：2022-06-15

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Shengfa WANG ,  Jiangbei HU ,  Na LEI ,  Zhongxuan LUO

IPC: G06F30/17 ,  G06F30/23 ,  G06T17/20

Abstract: The present invention relates to an efficient design and optimization algorithm framework of multi-scale porous structures. Firstly, initialized parameters are input by the user to obtain an initial porous structure through the design module. Then, the structure and external physical conditions defined by the user are transmitted to the analysis module to conduct mechanical response analysis of the porous structure. Next, an objective function and constraint functions of the optimization module are defined according to application requirements, and gradient information obtained by the analysis module is input to drive the operation of the optimization module. Finally an optimal multi-scale porous structure is obtained. The present invention relies on a vectorization mode in computer programming, converts a loop problem into a memory storage problem, and benefits from the existing fast computer algorithms for solving a system of linear equations, thus accelerating the calculation process of the whole algorithm.

公开(公告)号：US20210358208A1

公开(公告)日：2021-11-18

申请号：US17283206

申请日：2020-07-24

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Na LEI ,  Xiaopeng ZHENG ,  Zhongxuan LUO

IPC: G06T17/10 ,  G06T17/20

Abstract: The present invention discloses a method, device and computer readable storage medium (CRSM) for generating a volume foliation. The method comprises: constructing a pants decomposition graph on a smooth closed surface S of genus g>1, wherein the surface S has g handles, and the pants are a genus-zero triangular mesh surface with g boundaries; constructing an initial mapping f0:(T, g)→(Gr, h) from a tetrahedral mesh T to a graph Gr by a process of extending a topological disk Dk into a solid cylinder Ck; evolving the initial mapping into a generalized harmonic map by the nth iterative mapping; and obtaining a volume foliation of the tetrahedral mesh T from preimages of all nodes of a metric graph (Gr, h) and points on edges of the metric graph (Gr, h) under the generalized harmonic map f.

公开(公告)号：US20230185974A1

公开(公告)日：2023-06-15

申请号：US17779354

申请日：2021-07-16

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Shengfa WANG ,  Jun YANG ,  Na LEI ,  Zhongxuan LUO

IPC: G06F30/10 ,  G06F30/20

CPC classification number: G06F30/10 ,  G06F30/20 ,  G06F2111/10

Abstract: The present invention discloses a design and optimization method based on a self supporting ellipsoidal cavity structure. First, a three-dimensional model with initialized self supporting ellipsoidal cavities is represented by a function; then the structure of the object is analyzed, modeled and optimized by the continuity and differentiability of the function; the internal lightweighting of the model is carried out with the self supporting ellipsoidal cavities, without the need of adding a supporting structure, thus avoiding waste of materials; the intersection of self supporting ellipsoids is strictly controlled to avoid damage to self supportability within the model due to intersection; and finally, the above modeling problem is geometrically optimized to obtain an internal shape of the object optimized under given constraint conditions. The present invention greatly shortens the design and optimization cycle of the hole structure, realizes self supporting for the internal cavities of the model.

公开(公告)号：US20220414282A1

公开(公告)日：2022-12-29

申请号：US17605659

申请日：2020-12-15

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Shengfa WANG ,  Yiming ZHU ,  Xiaopeng ZHENG ,  Na LEI ,  Zhongxuan LUO ,  Fuwei CHEN ,  Yongjie WANG ,  Fan ZHANG

IPC: G06F30/15

Abstract: The present invention discloses a boundary layer mesh generation method based on an anisotropic volume harmonic field, and belongs to the technical filed of computational fluid dynamics, numerical simulation, computer aided design and manufacturing. First, a boundary surface mesh of the Minkowski sum is used to construct a tetrahedral background mesh required for solving volume harmonic fields, then an anisotropic tensor is automatically added according to the actual demand, the anisotropic volume harmonic field is calculated under the control of the tensor, and finally, the advancing direction required by the boundary layer mesh is generated in combination with special weighted Laplace smoothing. The strategy of constructing a tetrahedral background mesh based on the boundary surface mesh of the Minkowski sum of the present invention reduces the calculation time and the memory waste, controllably and locally adjusts the thickness of the boundary layer mesh by automatically adding an anisotropic tensor, optimizes the advancing direction in combination with special weighted Laplace smoothing, and significantly improves the generation quality of the boundary layer mesh.