Recognition of Multi-Axis Milling Features: Part II—Algorithms & Implementation

Author:

Sridharan Nandakumar1,Shah Jami J.2

Affiliation:

1. UGS Corporation, Cypress, CA

2. Design Automation Lab, Department of Mechanical and Aerospace Engineering, Arizona State University, Tempe, AZ 85287-6106

Abstract

This two-part paper describes general purpose methods for recognizing both simple and complex features; the latter may have freeform faces that may require 4 or 5 axis machining. The major impediment to recognition of complex features has been the difficulty in generalizing the characteristics of their shape. Part I of this paper presented features in terms of geometric and topological characteristics. This part of the paper (Part II) demonstrates how the characterization and classification developed in Part I can be used in automatic feature recognition. The paper presents algorithms for Cut-Thru, Cut-Around, and all types of Cut-On features, namely Open-surface, Open-Cavity and Closed-Cavity. A modular and progressive approach is implemented to keep the process planner involved in decisions about setups, tool approach, and fixturing. Data collected from several case studies is included.

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications,Software

Reference30 articles.

1. Sridharan, N., and Shah, J., 2004, “Recognition of Multi Axis Milling Features: Part I—Topological and Geometric Characteristics,” ASME J. Comput. Inf. Sci. Eng., 4(3), pp. 242–250.

2. Shah, J. J., and Mantyla, M., 1995, Parametric and Feature-based CAD/CAM, John Wiley and Sons, Inc., New York.

3. Shah, J., Anderson, D., Kim, Y.-S., and Joshi, S., 2001, “A Discourse on Geometric Feature Recognition From CAD Models,” ASME J. Comput. Inf. Sci. Eng., 1(1), pp. 41–51.

4. Kyprianou, L., 1980, “Shape Classification in Computer-Aided Design,” Ph.D. dissertation, University of Cambridge.

5. Grayer, A. R., 1976, “A Computer Link Between Design and Manufacture,” Ph.D. dissertation, University of Cambridge.

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