- Tytuł:
- Evaluation of sensor-based condition monitoring methods as in-process tool wear and breakage indices - case study: drilling
- Autorzy:
-
Tsanakas, J. A.
Botsaris, P. N.
Amirids, I. G.
Galeridis, G. G. - Powiązania:
- https://bibliotekanauki.pl/articles/329544.pdf
- Data publikacji:
- 2012
- Wydawca:
- Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
- Tematy:
-
tool condition monitoring
vibration signals
thermal signatures
spindle motor current
tool wear
statistical analysis
frequency domain analysis - Opis:
- Today, effective unmanned machining operations and automated manufacturing are unthinkable without tool condition monitoring (TCM). Undoubtedly, the implementation of an adaptable, reliable TCM and its successful employment in industry, emerge as major instigations over the recent years. In this work, a sensor-based approach was deployed for the in-process monitoring and detection of tool wear and breakage in drilling. In particular, four widely reported indirect methods for tool wear monitoring, i.e. vibration signals together with thermal signatures, spindle motor and feed motor current measurements were obtained during numerous drillings, under fixed conditions. The acquired raw data was, then, processed both statistically and in the frequency domain, in order to distinguish the meaningful information. The study of the latter is influential in identifying the trend of specific signals toward tool wear mechanism. The efficiency of this information as a tool wear and/or breakage index is the feature that determines the effectiveness and reliability of a potential indirect TCM approach based on a multisensor integration. The paper concludes with a discussion of both advantages and limitations of this effort, stressing the necessity to develop simple, fast condition monitoring methods which are, generally, less likely to fail.
- Źródło:
-
Diagnostyka; 2012, 2(62); 3-13
1641-6414
2449-5220 - Pojawia się w:
- Diagnostyka
- Dostawca treści:
- Biblioteka Nauki
Artykuł