Name
Abstract | ||
|---|---|---|
Mesh slicing is one of the most common operations in additive manufacturing (AM). However, the computing burden for such an application is usually very heavy, especially when dealing with large models. Nowadays the graphics processing units (GPU) have abundant resources and it is reasonable to utilize the computing power of GPU for mesh slicing. In the paper, we propose a parallel implementation of the slicing algorithm using GPU. We test the GPU-accelerated slicer on several models and obtain a speedup factor of about 30 when dealing with large models, compared with the CPU implementation. Results show the power of GPU on the mesh slicing problem. In the future, we will extend our work and standardize the slicing process. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/COASE.2017.8256075 | 2017 13th IEEE Conference on Automation Science and Engineering (CASE) |
Keywords | Field | DocType |
GPU-based parallel slicer,3D printing,additive manufacturing,parallel slicer,slicing process,mesh slicing problem,slicing algorithm,parallel implementation,graphics processing units | Graphics,Central processing unit,Instruction set,Computer science,Slicing,Parallel computing,3D printing,Solid modeling,Three dimensional printing,Speedup | Conference |
ISSN | ISBN | Citations |
2161-8070 | 978-1-5090-6782-4 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| xipeng zhang | 1 | 3 | 2.46 |
| Gang Xiong | 2 | 299 | 92.20 |
| Zhen Shen | 3 | 6 | 5.53 |
| Yiyao Zhao | 4 | 0 | 0.34 |
| Chao Guo | 5 | 6 | 6.59 |
| Xisong Dong | 6 | 47 | 13.05 |