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

• Autorzy: Tanabe Ikuo , Isobe Hiromi

Identyfikatory

DOI

10.36897/jme/157374

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

NC program; correction; free-cutting temperature; high productivity; tool condition

• Wydawca: Wydawnictwo Wrocławskiej Rady FSNT NOT
• Czasopismo: Journal of Machine Engineering
• Rocznik: 2023
• Tom: Vol. 23, No. 1
• Strony: 57--70
• Opis fizyczny: Bibliogr. 14 poz., rys., tab.

Twórcy

autor

Tanabe Ikuo

• Technical and Management Engineering, Sanjo City University, Japan

autor

Isobe Hiromi

• Department of Mechanical Engineering, Nagaoka University of Technology, Japan

Bibliografia

• [1] DEUTSCH J., ALBRECHT T., RIEDEL M., PENTER L., WIEMER H., MÜLLER J., IHLENFELDT S., 2020, Thermo-Elastic Structural Analysis of a Machine Tool Using A Multi-Channel Absolute Laser Interferometer, Journal of Machine Engineering, 20/3, 63–75, https://doi.org/10.36897/jme/127128.
• [2] SILVA D.P., PENA-GONZALEZ E.L., TANABE I., TAKAHASHI S., 2018, Machine Tool Distortion Estimation Due to Environmental Thermal Frustrations - a Focus on Heat Transfer Coefficient, Journal of Machine Engineering, 18/2, 17–30, https://doi.org/10.5604/01.3001.0012.0921.
• [3] NAUMANN C., GLANZEL J., PUTZ M., 2020, Comparison of Basis Functions for Thermal Error Compensation Based on Regression Analysis – A Simulation Based Case Study, Journal of Machine Engineering, 20/4, 28–40, https://doi.org/10.36897/jme/128629.
• [4] UHLMANN E., SALEIN S., POLTE M., TRIEBEL F., 2020, Modelling of a Thermoelectric Self-Cooling System Based on Thermal Resistance Networks for Linear Direct Drives in Machine Tools, Journal of Machine Engineering, 20/1, 43–57, https://doi.org/10.36897/jme/117783.
• [5] TANABE I., YAMAGUCHI Y., HOSHINO H., 2020, Development of a New High-Pressure Cooling System for Machining of Difficult-to- Machine Materials, Journal of Machine Engineering, 20/1, 82–97, https://doi.org/10.36897/jme/117776.
• [6] MARES M., HOREJS O., FIALA S., HAVLIK L., STRITESKY P., 2020, Effects of Cooling Systems on the Thermal Behavior of Machine Tools and Thermal Error Models, Journal of Machine Engineering, 20/4, 5–27, https://doi.org/10.36897/jme/128144.
• [7] HAYASHI S., 2002, Machining Super Alloys by Using Some Coolants in Different Applying Methods, Journal of the Japan Society for Precision Engineer, 68/7, 438–442, (in Japanese).
• [8] SEKIYA.K., YAMANE Y., NARUTAKI N., 2004, High Speed End-Milling of Ti-6Al-4V Alloy, Journal of the Japan Society for Precision Engineer, 70/3, 438–442, (in Japanese).
• [9] PENA-GONZALEZ E.L., SILVA D.P., TANABE I., 2018, Development of Environmental-Friendly Technologies Based on the Double-Eco Model – an Evaluation Platform, Journal of Machine Engineering, 18/1, 18–31, https://doi.org/10.5604/01.3001.0010.8812.
• [10] SATO U., TAKENOUCHI T., HARA H., YAMAZAKI T., WAKABAYASHI S., 2004, End Milling of Stainless Steel Using Electrolyzed Reduced Water, Transactions of Japan Society of Mechanical Engineers, Series C, 72/718, 192–194, (in Japanese).
• [11] HIRANO M., TERASHIMA A., HO Y.J., SHIRASE K., YASUI T., 1998, Behavior of Cutting Heat in High Speed Cutting, Journal of the Japan Society for Precision Engineering, 64/7, 1067–1071, (in Japanese).
• [12] TAKEYAMA H., 1981, Machining, Maruzen Publishing Co., Ltd., 24–69, (in Japanese).
• [13] NARUTAKI N., MURAKOSHI A., 1980, Thermal Wear and Cutting Performance of Cermet Tools, Journal of the Japan Society for Precision Engineering, 46/4, 442–447, (in Japanese).
• [14] NARUTAKI N., MURAKOSHI A., 1976, Effect of Small Quantity Inclusions in Steels on the Wear of Ceramic Tools, Journal of the Japan Society for Precision Engineering, 42/3, 221–226, (in Japanese).

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).