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Proceedings Paper

Decision making and learning strategies for determining tools and cutting conditions
Author(s): Liguo Shen; Zhijun Han; Kunhua Zhang
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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

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