Share Email Print
cover

Proceedings Paper

Decision making and learning strategies for determining tools and cutting conditions
Author(s): Liguo Shen; Zhijun Han; Kunhua Zhang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The paper describes the decision making and learning strategies for determining tools and cutting conditions of an automatic decision-making and learning system embedded in the intelligent CNC system/workstation of machining centers (ADLS-CNC). The functions of the system include: selecting the correct cutting tool, determining the optimal size and number of cuts, specifying machining parameters (speed and feed) for each cut and adapting them to a specific workshop environment from learning on-line.

Paper Details

Date Published: 28 August 1995
PDF: 6 pages
Proc. SPIE 2620, International Conference on Intelligent Manufacturing, (28 August 1995); doi: 10.1117/12.217546
Show Author Affiliations
Liguo Shen, Tsinghua Univ. (China)
Zhijun Han, Tsinghua Univ. (China)
Kunhua Zhang, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 2620:
International Conference on Intelligent Manufacturing
Shuzi Yang; Ji Zhou; Cheng-Gang Li, Editor(s)

© SPIE. Terms of Use
Back to Top