Decision making and learning strategies for determining tools and cutting conditions

Liguo Shen; Zhijun Han; Kunhua Zhang

doi:10.1117/12.217546

28 August 1995 Decision making and learning strategies for determining tools and cutting conditions

Liguo Shen, Zhijun Han, Kunhua Zhang

Proceedings Volume 2620, International Conference on Intelligent Manufacturing; (1995) https://doi.org/10.1117/12.217546
Event: International Conference on Intelligent Manufacturing, 1995, Wuhan, China

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.

Citation Download Citation

Liguo Shen, Zhijun Han, and Kunhua Zhang "Decision making and learning strategies for determining tools and cutting conditions", Proc. SPIE 2620, International Conference on Intelligent Manufacturing, (28 August 1995); https://doi.org/10.1117/12.217546

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