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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