A function-oriented surface reconstruction framework for reverse engineering

CIRP Annals ◽  
2021 ◽  
Author(s):  
Yifan Qie ◽  
Sebastian Bickel ◽  
Sandro Wartzack ◽  
Benjamin Schleich ◽  
Nabil Anwer
Keyword(s):  
Reverse Engineering ◽  
Surface Reconstruction ◽  
Oriented Surface

Application Research on a Curved CAM Surface Reconstruction Method

2014 ◽  
Vol 971-973 ◽  
pp. 402-405
Author(s):  
Zhou Wen ◽  
Jun Ling Zhang ◽  
Xiu Duan Gong
Keyword(s):  
Reverse Engineering ◽  
Surface Reconstruction ◽  
Design Method ◽  
Subsequent Development ◽  
Reconstruction Method ◽  
Application Research ◽  
Cam Mechanism ◽  
Indexing Mechanism ◽  
Contour Surface ◽  
Rapid Modeling

Globular indexing CAM mechanism is a good indexing mechanism. As the working curve of CAM contour surface is no extending curved surface, there is certain difficulty to design processing. It is new kinds of design method that reverse engineering apply in rapid modeling of curved CAM. In this way, designer can complete curve of CAM reverse modeling, and the rationality of the model is verified. At the same time, it also can reverse modeling and the subsequent development of other products to provide a reference.

Implicit surface reconstruction for reverse engineering

1998 ◽  
Author(s):  
Y. He ◽  
Peihua Gu ◽  
K. Ferguson ◽  
J. Ronsky ◽  
R. Zernicke
Keyword(s):  
Reverse Engineering ◽  
Surface Reconstruction ◽  
Implicit Surface

Individual Design of Mechanical and Electrical Products Based on Reverse Engineering

2014 ◽  
Vol 496-500 ◽  
pp. 2746-2750
Author(s):  
Zhi Qing Wu ◽  
Tie Jun Wu
Keyword(s):  
Reverse Engineering ◽  
Key Words ◽  
Surface Reconstruction ◽  
Design Method ◽  
Three Dimension ◽  
Customer Needs ◽  
Cloud Data ◽  
Electric Drill ◽  
Individual Design

This paper introduced a new design method for mechanical and electrical products,for example electric drill handle. By using Geomagic Studio Software, the cloud data about scanning electric drill was preprocessed, the three-dimension surface was reconfigured according to the preprocessed data, the surface reconstruction file was imported into UG Software for substantialization. Finally, the model was improved and optimized according to individual customer needs. Key words: Electric drill handle, Reverse engineering, Individual design

Reverse Engineering Design of Vehicle Rear Axle Based on CATIA

2014 ◽  
Vol 697 ◽  
pp. 298-301
Author(s):  
Yong Qing Xia ◽  
Jie Zhang
Keyword(s):  
Reverse Engineering ◽  
Engineering Design ◽  
Surface Reconstruction ◽  
Point Cloud ◽  
Rear Axle ◽  
Feasible Solution ◽  
Point Cloud Data ◽  
Engineering Technology ◽  
General Process ◽  
Cloud Data

Reverse engineering technology has been widely used in engineering design field. This paper proposed a CATIA-modeling-based reverse engineering technology for vehicle rear axle design. The general process for reverse engineering includes the pretreatment of the point cloud data, the establishment of the grid, the surface reconstruction of parts, the analysis of curved surface, and so on. Finally, the paper puted forward practical and feasible solution to the problem.

scholarly journals Optimization of Reverse Engineering Data for Regeneration of Triangular Mesh

2021 ◽  
Author(s):  
Ashish Deb
Keyword(s):  
Artificial Intelligence ◽  
Genetic Algorithm ◽  
Reverse Engineering ◽  
Surface Reconstruction ◽  
Mesh Generation ◽  
Triangular Mesh ◽  
Popular Method ◽  
Engineering Data ◽  
Simple Genetic Algorithm ◽  
Data Points

Surface reconstruction of 3D reverse engineering data through the application of a triangulated mesh is a popular method. This thesis proposes a new simple genetic algorithm, an artificial intelligence method, to optimize triangular mesh generation which reduces the number of data points required to depict an object without sacrificing the details and accuracy.

scholarly journals Implementing Self Organising Map to Organise the Unstructured Data

2021 ◽  
Vol 2129 (1) ◽  
pp. 012046
Author(s):  
S P Lim ◽  
C K Lee ◽  
J S Tan ◽  
S C Lim ◽  
C C You
Keyword(s):  
Reverse Engineering ◽  
Surface Reconstruction ◽  
Closed Surface ◽  
The Self ◽  
Unstructured Data ◽  
Data Sets ◽  
Minimum Error ◽  
Connectivity Information ◽  
Different Types ◽  
Self Organising Map

Abstract Surface reconstruction is significant in reverse engineering because it should present the correct surface with minimum error using the data available. It has become a challenging process when the data are in the unstructured type and the existing methods are still suffering from accuracy issues. The unstructured data will produce an incorrect surface because there is no connectivity information among the data. So, the unstructured data should undergo the organising process to obtain the correct shape. The Self Organising Map (SOM) has been extensively applied in previous works to solve surface reconstruction problems. However, the performance of the SOM models has remained uncertain. It can be evaluated and tested using different types of data sets. The objectives of this research are to examine the performance and to determine the weaknesses of SOM models. 2D SOM, 3D SOM, and Cube Kohonen (CK) SOM models are investigated and tested using three data sets in this research. As shown in the experimental results, the CKSOM model has proved to perform better because it can represent the correct closed surface with the lowest minimum error.

Sign in / Sign up

Export Citation Format

Share Document