THE BEST INNOVATION OF DEVELOPMENT IN MECHANICAL ENGINEERING

Authors

  • Abdashimova Munisa
  • Jabborxonova Gulzodaxon

Keywords:

Keywords: artificial intelligence, industrial process, CNC machining operation.

Abstract

Abstract. The applications of machine learning and artificial intelligence systems in CNC machine tools are examined in this study by analyzing recent achievements from published papers. The main aim of this study is to provide an overview of current studies on machine learning and artificial intelligence techniques in CNC machining operations in order to provide a useful study for the researchers in the interesting field.

References

References:

A. Keller, A. Kamath, U. Perera Reliability analysis of CNC machine tools . Reliab. Eng., 3 (1982), pp. 449-473

A.M. Mamadjanov, S.M. Yusupov, S. Sadirov Advantages and the future of CNC machines. Sci. Progr., 2 (2021), pp. 1638-1647

Y. Ye, T. Hu, C. Zhang, W. Luo Design and development of a CNC machining process knowledge base using cloud technology. Int. J. Adv. Manuf. Technol., 94 (2018), pp. 3413-3425

Published

2023-10-10

How to Cite

Abdashimova Munisa, & Jabborxonova Gulzodaxon. (2023). THE BEST INNOVATION OF DEVELOPMENT IN MECHANICAL ENGINEERING. Лучшие интеллектуальные исследования, 6(1), 196–198. Retrieved from https://web-journal.ru/journal/article/view/743