A graph-based framework for feature recognition

Authors:
Sashikumar Venkataraman;Milind Sohoni;Vinay Kulkarni
Affiliations:
Geometric Software Solutions Ltd., Plant 14, Pirojshanagar, Vikhroli, Mumbai-400079, India;Dept. of Computer Science and Engg., Indian Institute of Technology, Powai, Mumbai-400076, India;Geometric Software Solutions Ltd., Plant 14, Pirojshanagar, Vikhroli, Mumbai-400079, India
Venue:
Proceedings of the sixth ACM symposium on Solid modeling and applications
Year:
2001

Citing 7
Cited 5

Graph-based heuristics for recognition of machined features from a 3D solid model

Computer-Aided Design
Blend recognition algorithm and applications

Proceedings of the sixth ACM symposium on Solid modeling and applications
Advances in Feature-Based Manufacturing

Advances in Feature-Based Manufacturing
Geometric Reasoning for Recognition of Three-Dimensional Object Features

IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometric Reasoning for Recognition of Three-Dimensional Object Features

IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatial Reasoning for the Automatic Recognition of Machinable Features in Solid Models

IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometric Reasoning for Extraction of Manufacturing Features in Iso-Oriented Polyhedrons

IEEE Transactions on Pattern Analysis and Machine Intelligence

Reconstruction of feature volumes and feature suppression

Proceedings of the seventh ACM symposium on Solid modeling and applications
A new methodology for extracting manufacturing features from CAD system

Computers and Industrial Engineering
A CAD-CAE integration approach using feature-based multi-resolution and multi-abstraction modelling techniques

Computer-Aided Design
Local parameterization of freeform shapes using freeform feature recognition

Computer-Aided Design
An approach to recognize interacting features from B-Rep CAD models of prismatic machined parts using a hybrid (graph and rule based) technique

Computers in Industry

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper discusses a feature recognition system for recognizing User Defined Features (UDF). The feature recognizer uses a graph-based approach to represent and recognize features. An attributed face adjacency graph consisting of topological and geometric attributes is used to represent UDF's. The feature recognition step involves finding similar subgraphs in the part graph. The novelty of the framework lies in the usage of a rich set of attributes to recognize a wide range of features efficiently. A unique representation using graph grammars has also been developed to define family of features such as pockets with variable number of side faces. The feature recognizer also addresses many kinds of feature interactions by progressive suppression of the identified features. New techniques have been implemented for suppressing degenerate or virtual features. The feature recognizer also consists of a parameterization module to extract user-defined parameters from the recognized features.