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Development on AI optimizing technology of NC program using tool free-cutting temperature for turning

Tanabe Ikuo, Isobe Hiromi

Journal of Machine Engineering

2023

Vol. 23, No. 1

57--70

In recent years, manufacturing must not only focus on high precision and productivity, but also on saving energy, resources and the environment. At the same time, there are increasing demands for high quality, high grade, wear resistance, heat-resisting property and high rigidity in machining workpieces. Therefore, for example, when creating NC programmes for machining difficult-to-machine materials such as titanium alloys and nickel alloys used in the aerospace industry, it has been very difficult to determine their optimum cutting conditions and create highly productive NC programmes due to lack of experience. Therefore, an AI optimizing technology of NC program using tool free-cutting temperatures for turning was developed and evaluated. The turning was used for this research and neural networks were used for AI optimizing. The algorithm for optimizing NC program using tool free-cutting temperature was firstly developed. Then the AI optimizing program for NC program was developed by C programming language. Previous NC program can rewrite for optimum condition by using the AI optimizing program. The proposed AI optimizing technology of NC program was evaluated by the several experiments. It is concluded from the results that; (1) The AI optimizing program for NC programmes using tool free-cutting temperatures in turning was developed, (2) The developed program was very useful for high productivity, long tool life and environmentally friendly.