Development of an intelligent system for tool wear monitoring applying neural networks

• Autorzy: Antić A. , Hodolič J. , Soković M.
• Języki publikacji: EN

Abstrakty

EN

Purpose: The objective of the researches presented in the paper is to investigate, in laboratory conditions, the application possibilities of the proposed system for tool wear monitoring in hard turning, using modern tools and artificial intelligence (AI) methods. Design/methodology/approach: On the basic theoretical principles and the use of computing methods of simulation and neural network training, as well as the conducted experiments, have been directed to investigate the adequacy of the setting. Findings: The paper presents tool wear monitoring for hard turning for certain types of neural network configurations where there are preconditions for up building with dynamic neural networks. Research limitations/implications: Future researches should include the integration of the proposed system into CNC machine, instead of the current separate system, which would provide synchronization between the system and the machine, i.e. the appropriate reaction by the machine after determining excessive tool wear. Practical implications: Practical application of the conducted research is possible with certain restrictions and supplement of adequate number of experimental researches which would be directed towards certain combinations of machining materials and tools for which neural networks are trained. Originality/value: The contribution of the conducted research is observed in one possible view of the tool monitoring system model and it’s designing on modular principle, and principle building neural network.

Słowa kluczowe

EN

manufacturing; processing; machining; artificial intelligence methods; tool wear; monitoring

PL

wytwarzanie; przetwarzanie; obróbka; metody sztucznej inteligencji; zużycie narzędzia; monitorowanie

• Wydawca: International OCSCO World Press
• Czasopismo: Journal of Achievements in Materials and Manufacturing Engineering
• Rocznik: 2006
• Tom: Vol. 14, nr 1-2
• Strony: 146--151
• Opis fizyczny: Bibliogr. 15 poz., rys., tab., wykr.

Twórcy

autor

Antić A.

• Faculty of Technical Sciences, University of Novi Sad, Trg D. Obradovića 6, 21000 Novi Sad, Serbia & Montenegro

autor

Hodolič J.

• Faculty of Technical Sciences, University of Novi Sad, Trg D. Obradovića 6, 21000 Novi Sad, Serbia & Montenegro

autor

Soković M.

• Faculty of Mechanical Engineering, University of Ljubljana, Askerceva 6, SI-1000 Ljubljana, Slovenia

Bibliografia

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