Reverse Forming Parts of Characteristics Analysis and Optimization

DOI

10.2991/meic-14.2014.66How to use a DOI?

Keywords

reverse engineering; CAD; finite element analysis; quality detection; 3D entity model

Abstract

The non-contact 3D surface measurement theory and CAD technology integration, the reverse engineering means can be three-dimensional entity model accurately obtain irregular products. Application of reverse engineering method to establish CAD model and suitable to finite element analysis, the shape and size of surface reconstruction of entity can be guaranteed, through the component structure design and optimization, the realization of rapid prototyping and quality testing of new products. The point cloud data acquisition products surface using 3D laser scanner, the scanner itself, the measurement process vulnerable to the external environment and the surrounding objects of interference noise, therefore, the research take the suitable method of point cloud data denoising. The key research based on the mathematical model of NURBS curve and surface, revealing the control principle of curve and surface, the shape is easier to achieve the best effect, the completion of surface reconstruction and materialization process in CAD software. The final will be imported into the finite element software reverse molding analysis and optimization of the characteristics of the local, through the analysis of cloud drop test, stress generation, to provide a theoretical basis for the optimization design of structure.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Shigang Wang
AU  - Yanwei Dong
AU  - Fengjuan Wang
AU  - Guanxiong Wu
PY  - 2014/11
DA  - 2014/11
TI  - Reverse Forming Parts of Characteristics Analysis and Optimization
BT  - Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
PB  - Atlantis Press
SP  - 294
EP  - 298
SN  - 2352-5401
UR  - https://doi.org/10.2991/meic-14.2014.66
DO  - 10.2991/meic-14.2014.66
ID  - Wang2014/11
ER  -