Development on AI Optimizing Technology of NC Program Using Tool Free-Cutting Temperature for Turning
,
 
 
 
More details
Hide details
1
Technical and Management Engineering, Sanjo City University, Japan
2
Department of Mechanical Engineering, Nagaoka University of Technology, Japan
CORRESPONDING AUTHOR
Ikuo TANABE   

Technical and Management Engineering, Sanjo City University, Japan, 1341(3 street area), Kamisugoro, Sanjo, Niigata, 955-0091, Nagaoka, Japan
Submission date: 2022-09-27
Final revision date: 2022-12-09
Acceptance date: 2022-12-12
Online publication date: 2022-12-22
 
 
KEYWORDS
TOPICS
ABSTRACT
An AI repairing 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 repairing. The algorithm for repairing NC program using tool free-cutting temperature was firstly developed. Then the AI repairing program for NC program was developed by C programming language. Previous NC program can rewrite for optimum condition by using the AI repairing program. The proposed AI repairing technology of NC program was evaluated by the several experiments. It is concluded from the results that; (1) The AI repairing program for NC program 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.
 
REFERENCES (14)
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.
 
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.
 
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.
 
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.
 
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.
 
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.
 
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.
 
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).
 
eISSN:2391-8071
ISSN:1895-7595