Similarity Assessment for Assembly Model Based on Component Attributed Relational Graph Matching

2012 ◽  
Vol 215-216 ◽  
pp. 270-274 ◽  
Author(s):  
Song Qiao Tao ◽  
Wei He
Keyword(s):  
Graph Matching ◽  
Assessment Method ◽  
Academic Community ◽  
Assembly Model ◽  
Similarity Assessment ◽  
3D Cad ◽  
Attributed Relational Graph ◽  
Model Similarity ◽  
Component Models ◽  
3D Cad Model Retrieval

3D CAD model retrieval has received a lot of attentions in the academic community. Most existent methods for 3D model similarity assessment focus on component models instead of assembly models. In this paper, an assembly model similarity assessment method is presented in order to find the similar assemblies model for design reuse. First, assembly model is described as component attributed relational graph. Then, the compatibility matrix between two assemblies is calculated, which serves as the measure of their similarity. Finally, the optimal matching under the measures is calculated using Hungarian Method. Experimental results show that this method is able to support the assembly similarity evaluation.

Similarity of Tessellated Solid Models for Engineering Applications

2018 ◽  
Author(s):  
Rahul S. Renu ◽  
Christopher Sousa
Keyword(s):  
Assessment Method ◽  
Solid Model ◽  
Engineering Applications ◽  
Similarity Assessment ◽  
Solid Models ◽  
The Difference ◽  
Model Similarity ◽  
Future Work

The objective of this research is to investigate the performance of a solid model similarity assessment method. This method is used to assess the similarity of tessellated solid models, where the tessellated geometry is in the form of triangles — specifically, the method compares STL files. A histogram of (triangle) tessellation areas is generated for each solid model being compared. The difference in the histograms of two solid models indicates their dissimilarity. The performance of the solid model similarity assessment method is evaluated by varying tessellation resolutions, and by varying histogram bin sizes. The solid model similarity assessment method is also compared to methods from literature. The comprehensive testing was performed using 867 solid models from the Engineering Shape Benchmark. It is found that the method was robust in its sensitivity to histogram bin sizes, and robust in its sensitivity to tessellation resolution. It is found that for small retrieval sizes, precision is relatively high. It is also found that this method outperformed methods from literature when comparing models that are rectangular, flat, thin, and/or cubic. Additionally, shortcomings of this method and related future work is identified.

3D CAD Model Similarity Assessment and Retrieval Using DBS

2005 ◽  
Author(s):  
Wei Gao ◽  
Shuming Gao ◽  
Yusheng Liu
Keyword(s):  
Preliminary Test ◽  
Cad Model ◽  
Test Results ◽  
Huge Amount ◽  
Geometric Information ◽  
New Approach ◽  
Similarity Assessment ◽  
3D Cad ◽  
Cad Models ◽  
Model Similarity

Similarity assessment and retrieval of 3D CAD models play a key role in achieving reuse of huge amount of 3D CAD models. In this paper, a new approach to similarity assessment and retrieval of 3D CAD models based on dilation based skeleton (DBS) is presented. First the DBS of a 3D CAD model is introduced; Then the detailed algorithms of generating and refining the DBS of a 3D CAD model are described; Furthermore the method of performing similarity assessment and retrieval of 3D CAD models based on the matching of the DBS graphs derived from the DBS representations and containing both primary topological and geometric information of the models is presented; Finally some preliminary test results are given.

Feature-Based Part Similarity Assessment Method Using Convex Decomposition

2003 ◽  
Author(s):  
Yong Se Kim ◽  
Yong Hee Jung ◽  
Byung Gu Kang ◽  
Hyung Min Rho
Keyword(s):  
Feature Recognition ◽  
Assessment Method ◽  
Machining Processes ◽  
Design Modification ◽  
Assessment Technique ◽  
Convex Decomposition ◽  
Similarity Assessment ◽  
Manufacturing Process Planning ◽  
Machined Parts ◽  
Qualitative Similarity

Mechanical parts are often grouped into part families based on the similarity of their shapes, to support efficient manufacturing process planning and design modification. This paper presents a similarity assessment technique to support part family classification for machined parts. It exploits the multiple feature decompositions obtained by the feature recognition method using convex decomposition. Convex decomposition provides a hierarchical volumetric representation of a part, organized in an outside-in hierarchy. It provides local accessibility directions, which supports abstract and qualitative similarity assessment. It is converted to a Form Feature Decomposition (FFD), which represents a part using form features intrinsic to the shape of the part. This supports abstract and qualitative similarity assessment using positive feature volumes. FFD is converted to Negative Feature Decomposition (NFD), which represents a part as a base component and negative machining features. This supports a detailed, quantitative similarity assessment technique that measures the similarity between machined parts and associated machining processes implied by two parts’ NFDs. Features of the NFD are organized into branch groups to capture the NFD hierarchy and feature interrelations. Branch groups of two parts’ NFDs are matched to obtain pairs, and then features within each pair of branch groups are compared, exploiting feature type, size, machining direction, and other information relevant to machining processes.

3D CAD model retrieval based on the combination of features

2014 ◽  
Vol 74 (13) ◽  
pp. 4907-4925 ◽  
Author(s):  
Qiang Chen ◽  
Bin Fang ◽  
Yong-Mei Yu ◽  
Yan Tang
Keyword(s):  
Cad Model ◽  
3D Cad ◽  
Model Retrieval ◽  
3D Cad Model Retrieval
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