Semantic Feature Modeling Based on Geometric Constraint Solving

Semantic feature modeling is a new trend of CAD technology. It is very important for modifying and editing models automatically and semi-automatically. In this paper, a semantic feature modeling method is proposed, in which geometric constraints of models are solved. The new method is history-independent. At the same time, the architecture of semantic feature modeling is given. According to the principles of 3 dimensional rigid bodies, basic geometric constraints can be expressed. Experiment results show an instance modeled by the proposed method.

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An Expanding Algorithm of Geometric Constraint Solving in Semantic Feature Modeling

Information Technology Journal ◽

10.3923/itj.2011.1447.1451 ◽

2011 ◽

Vol 10 (7) ◽

pp. 1447-1451

Author(s):

Xianguo Liu ◽

Lijuan Sun

Keyword(s):

Feature Modeling ◽

Semantic Feature ◽

Geometric Constraint ◽

Constraint Solving ◽

Geometric Constraint Solving

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Constraint solving for direct manipulation of features

Artificial intelligence for engineering design analysis and manufacturing ◽

10.1017/s0890060406060264 ◽

2006 ◽

Vol 20 (4) ◽

pp. 369-382 ◽

Cited By ~ 1

Author(s):

DANIEL LOURENÇO ◽

PEDRO OLIVEIRA ◽

ALEX NOORT ◽

RAFAEL BIDARRA

Keyword(s):

Feature Modeling ◽

Geometric Constraint ◽

Constraint Solving ◽

Direct Manipulation ◽

Modeling Systems ◽

Geometric Constraint Solving

In current commercial feature modeling systems, support for direct manipulation of features is not commonly available. This is partly due to the strong reliance of such systems on constraints, but also to the lack of speed of current constraint solvers. In this paper, an approach to the optimization of geometric constraint solving for direct manipulation of feature dimensions, orientation, and position is described. Details are provided on how this approach was successfully implemented in the Spiff feature modeling system.

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Semantic Feature Modeling Based on the Decomposition of Feature Dependent Graph

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.981.149 ◽

2014 ◽

Vol 981 ◽

pp. 149-152

Author(s):

Xue Yao Gao ◽

Chun Xiang Zhang ◽

Xiao Yang Yu

Keyword(s):

Research Topic ◽

Modeling Method ◽

Feature Modeling ◽

Semantic Feature ◽

Geometric Constraints ◽

Experimental Results ◽

Important Research ◽

Important Research Topic

Semantic feature modeling is an important research topic in CAD, in which geometric constraints in model are solved automatically. A semantic feature modeling method is given in this paper. Firstly, the feature dependent graph is built based on geometric constraints. Secondly, the feature dependent graph is decomposed according to the complexity of subgraphs and the whole problem of solving geometric constraints is divided into several small ones. Thirdly, these small problems are solved. At the same time, the modeling architecture based on the decomposition of feature dependent graph is given. Experimental results show that when the proposed method is applied, the modeling performance is improved.

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