File(s) under permanent embargo

Reason: This item is currently closed access.

A knowledge-based system approach for recognition of machining features

conference contribution
posted on 10.03.2014, 14:47 by A.K.W. Chan, Keith CaseKeith Case
This paper describes a knowledge-based system approach for recognition of machining features. Using a machining feature as a positive teaching example, the method converts the boundary information of the machining feature and the user given machining instruction automatically into a set of production rules. With the incorporation of the new rules, the system will be able to recall and apply the learnt machining instruction to other machining features that have shape pattern similar to that of the teaching example. An experimental system to implement the method is presented and the method is explained with illustrations. The method would be useful for predefining new machining features to be recognised.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Citation

CHAN, A.K.W. and CASE, K., 1992. A knowledge-based system approach for recognition of machining features. IN: Ko, N.W.M. and Tan, S.T. (eds). Proceedings of the International Conference on Manufacturing Automation, 10th-12th August 1992, Hong Kong. University of Hong Kong, pp. 334 - 342.

Publisher

Hong Kong University

Version

VoR (Version of Record)

Publication date

1992

Notes

This conference paper is closed access.

Language

en

Editor(s)

Ko, NWM;Tan, STE

Usage metrics

Keywords

Exports