Shape and Context-Based Recognition of Standard Mechanical Parts in CAD Models

被引:11
作者
Bonino, Brigida [1 ,2 ]
Giannini, Franca [2 ]
Monti, Marina [2 ]
Raffaeli, Roberto [3 ]
机构
[1] Univ Genoa, DIME, Genoa, Italy
[2] CNR, IMATI, Rome, Italy
[3] Univ Modena & Reggio Emilia, DISMI, Modena, Italy
关键词
CAD model processing; 3D part recognition; Standard part; Assembly analysis; BOUNDARY EVALUATION; RETRIEVAL APPROACH; 3D; SEQUENCE; DESIGN; CLASSIFICATION; COMPONENTS; IDENTIFICATION; FRAMEWORK; PRODUCT;
D O I
10.1016/j.cad.2022.103438
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The work here presented is part of a wider research project aimed at extracting and using in industrial applications high level semantic information from 3D product models that are described by means of their boundary representation (B-rep). The specific focus of the paper is the recognition among the components of the CAD model of an assembly of those belonging to some categories of standard parts largely employed in mechanical industry. The knowledge of these components is crucial to understand the structure of mechanical products as they have specific meaning and function. Standard parts follow international standard in shape and dimensions, and also typical mounting schemes exist concerning their use in the product assembly. These distinctive features have been exploited as a starting point to develop a multi-step recognition algorithm. It includes a shape-based and a context-based analysis both relying on the geometric and topological analysis of a CAD model. As already anticipated by Voelcker in his visionary ability to anticipate open challenges, the shape of an object alone is not enough to understand its function. Therefore, context assessment becomes crucial to validate the recognition given by the shape-based step. It allows to uniquely recognize components in mechanical CAD models, by confirming correct results, refusing the false positives, as well as choosing the correct one when the assignment is multiple.(c) 2022 Elsevier Ltd. All rights reserved.
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页数:24
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