An Offsetting Framework of Triangular Models for 3D Printing

Author(s):  
Xiaotong Jiang ◽  
Qingjin Peng ◽  
Xiaosheng Cheng ◽  
Ning Dai ◽  
Yu Xiao

An efficient and intersection-free model offsetting framework is introduced in this paper to generate shell models for 3D printing. The basic concept of the framework is to offset vertices of the input mesh to obtain an approximate discrete signed distance field for reconstructing the offsetting mesh. The framework first offsets vertices of the mesh by a given distance along their normal directly. These vertices are then adjusted or discarded according to the given offsetting distance to form an approximate discrete signed distance field using a binary space partition (BSP) tree. These reserved vertices are finally reconstructed using Poisson reconstruction algorithms to form the inner surface of the shell model. Results of the framework are intersection and non-manifold free for an arbitrary distance. It also allows different parts of a model for different offsetting distances from user interactions. Several examples are given to demonstrate that the framework is effective and robust for 3D printing.

Author(s):  
Wasim Abbas ◽  
Chris Doran ◽  
Rich Evans ◽  
Roberto Lopez Mendez

2021 ◽  
pp. 103166
Author(s):  
Wenjuan Hou ◽  
Chen Zong ◽  
Pengfei Wang ◽  
Shiqing Xin ◽  
Shuangmin Chen ◽  
...  

2018 ◽  
Vol 141 (6) ◽  
Author(s):  
Chenguang Zhang ◽  
Chunliang Wu ◽  
Krishnaswamy Nandakumar

We present three algorithms for robust and efficient geometric calculations in the context of immersed boundary method (IBM), including classification of mesh cells as inside/outside of a closed surface, projection of points onto a surface, and accurate calculation of the solid volume fraction field created by a closed surface overlapping with a background Cartesian mesh. The algorithms use the signed distance field (SDF) to represent the surface and remove the intersection tests, which are usually required by other algorithms developed before, no matter the surface is described in analytic or discrete form. The errors of the algorithms are analyzed. We also develop an approximate method on efficient SDF field calculation for complex geometries. We demonstrate how the algorithms can be implemented within the framework of IBM with a volume-average discrete-forcing scheme and applied to simulate fluid–structure interaction problems.


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