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Diagnostics of cutting process performed with CNC Denford milling machine
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W artykule przedstawiono wyniki badań, których celem było określenie konfiguracji potencjalnego układu diagnostycznego umożliwiającego diagnozowanie wybranych zjawisk podczas skrawania na obrabiarce TRIAC VMC DENFORD. Badania obejmowały swym zakresem szereg zagadnień, niezależnie dla frezowania oraz wiercenia. W przypadku frezowania skoncentrowano się na relacjach pomiędzy zużyciem ostrza skrawającego i chropowatością powierzchni obrobionej. W przypadku wiercenia analizowano zasadniczo zagadnienie wpływu zużycia narzędzia w obecności narostu i zadziorów poobróbkowych.
The research presented in this paper deals with diagnostics of machining process that seems to be one of the most important problems while trying to implement unmanned machining. An analysis and verification of approaches allowing to perform diagnostics of cutting process performed with CNC Denford milling machine was the main goal of the research presented. The research was focused on the two types of machining, i.e. milling am drilling. In the case of milling, a relationship between cutting tool wear and surface roughness was studied. Also, influence of cutting parameters on cutting time and length was analyzed. In the case of drilling, influence of drill wear in the presence of burr and built-up edge was considered. The superior goal of the research was to determine the structure of a potential diagnostic system that could be implemented on CNC Denford milling machine. It has been assumed that the diagnostic system would be based on indirect measurement methods. Therefore, whole spectrum of sensors was preliminary implemented, i.e. cutting force sensor, cutting torque sensor, current sensor, vibration sensor and acoustic emission sensor. In this part of the research an extensive search for measured signal features was conducted. Obviously, the search aimed at finding the features the most correlated with the states of the observed phenomena. As it was revealed, the RMS value of the spindle motor current showed the most monotonic and noiseless change with increasing milling cutter wear. Also, the RMS of feed force can be considered as a good wear symptom. However, the diagnostics of the drill wear can be performed with the RMS value of the feed force, only. The other analyzed signals recorded during drilling did not show useful information on drilling state. The above conclusions allow suggesting a common diagnostic system for drilling and milling. In this case, cutting force measurement and processing could a base for the core of such a system. Another conclusion of the conducted research is related to the influence of cutting parameters on the observed measured signal features. This influence causes that changes of the tool condition can be masked by the cutting parameters. Therefore, the next step of the research in which a trial of compensating the above mentioned influence with use of intelligent signal processing and integration methods is considered.
Rocznik
Tom
Strony
43--60
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Bibliogr. 7 poz.
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autor
autor
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- Katedra Budowy Maszyn, Wydział Mechaniczny Technologiczny Politechniki Śląskiej, Gliwice
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bwmeta1.element.baztech-article-BSL8-0003-0041
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