Manufacturing Feature Recognition from Solid Models: A Status Report

Published

July 1, 2000

Author(s)

Jung-Hyun Han, Mike Pratt, William Regli

Abstract

Solid modeling refers to techniques for unambiguous representations of three-dimensional objects. Feature recognition is a sub-discipline focusing on the design and implementation of algorithms for detecting manufacturing information such as holes, slots, etc. in a solid model. Automated feature recognition has been an active research area in solid modeling for many years, and is considered to be a critical component for CAD/CAM integration. This paper gives a technical overview of the state of the art in feature recognition research. Rather than giving an exhaustive survey, we focus on the three currently dominant feature recognition technologies: graph-based algorithms, volumetric decomposition techniques and hint-based geometric reasoning. For each approach, we present a detailed description of the algorithms being employed along with some assessments of the technology. We conclude by outlining important research and development issues.

Citation

IEEE Trans. on Robotics and Automation (2000)

Pub Type

Journals

Keywords

manufacturing feature recognition, solid models

Citation

Han, J. , Pratt, M. and Regli, W. (2000), Manufacturing Feature Recognition from Solid Models: A Status Report, IEEE Trans. on Robotics and Automation (2000) (Accessed November 8, 2024)