28 August 1995 Decision making and learning strategies for determining tools and cutting conditions
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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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Liguo Shen, Liguo Shen, Zhijun Han, Zhijun Han, Kunhua Zhang, Kunhua Zhang, } "Decision making and learning strategies for determining tools and cutting conditions", Proc. SPIE 2620, International Conference on Intelligent Manufacturing, (28 August 1995); doi: 10.1117/12.217546; https://doi.org/10.1117/12.217546
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